Data Set Specification

Temporal Data Set Specification V1.0
Mathieu Guillame-Bert
PhD Student - INRIA Rh�ne Alpes

Mail : mathieu.guillame-bert@inrialpes.fr
Web site : http://www-prima.imag.fr/guillame-bert

Date of generation	: Wed May 18 13:00:11 2011
Number of subset specifications	: 99
Number of coss-validation for every subsets	: 2
Duration of pattern generation	: 1.303s
Duration of dataset generation	: 1008.41s

List of subset specifications: part_1 ,part_2 ,part_3 ,part_4 ,part_5 ,part_6 ,part_7 ,part_8 ,part_9 ,part_10 ,part_11 ,part_12 ,part_13 ,part_14
,part_15 ,part_16 ,part_17 ,part_18 ,part_19 ,part_20 ,part_21 ,part_22 ,part_23 ,part_24 ,part_25 ,part_26 ,part_27 ,part_28 ,part_29
,part_30 ,part_31 ,part_32 ,part_33 ,part_34 ,part_35 ,part_36 ,part_37 ,part_38 ,part_39 ,part_40 ,part_41 ,part_42 ,part_43 ,part_44
,part_45 ,part_46 ,part_47 ,part_48 ,part_49 ,part_50 ,part_51 ,part_52 ,part_53 ,part_54 ,part_55 ,part_56 ,part_57 ,part_58 ,part_59
,part_60 ,part_61 ,part_62 ,part_63 ,part_64 ,part_65 ,part_66 ,part_67 ,part_68 ,part_69 ,part_70 ,part_71 ,part_72 ,part_73 ,part_74
,part_75 ,part_76 ,part_77 ,part_78 ,part_79 ,part_80 ,part_81 ,part_82 ,part_83 ,part_84 ,part_85 ,part_86 ,part_87 ,part_88 ,part_89
,part_90 ,part_91 ,part_92 ,part_93 ,part_94 ,part_95 ,part_96 ,part_97 ,part_98 ,part_99

Name :

part_1

Subset :

Number of events to predict

: 1229

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0123

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

0.0000

Symboles noises ratio:

a:0.0000, b:0.0000, c:0.0000, d:0.0000, e:0.0000, f:0.0000, g:0.0000, h:0.0000, i:0.0000, j:0.0000, k:0.0000, l:0.0000, m:0.0000, n:0.0000, o:0.0000, p:0.0000, q:0.0000, r:0.0000, s:0.0000, t:0.0000

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 8208

Symboles (+number of occurence)

: a:1160, b:2616, c:0, d:0, e:1761, f:0, g:0, h:0, i:0, j:2671, k:0, l:0, m:0, n:0, o:0, p:0, q:0, r:0, s:0, t:0

Patterns :

confidence :	61.12%
support :	60.11%
number of use :	1163
prediction standard deviation :	0.4336
number of conditions :	3

Details :

Name :

part_2

Subset :

Number of events to predict

: 5773

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0577

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

0.0000

Symboles noises ratio:

a:0.0000, b:0.0000, c:0.0000, d:0.0000, e:0.0000, f:0.0000, g:0.0000, h:0.0000, i:0.0000, j:0.0000, k:0.0000, l:0.0000, m:0.0000, n:0.0000, o:0.0000, p:0.0000, q:0.0000, r:0.0000, s:0.0000, t:0.0000

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 }

Average of all coss-validations :

Total number of events

: 8135

Symboles (+number of occurence)

: a:4046, b:0, c:0, d:0, e:0, f:0, g:0, h:0, i:0, j:0, k:0, l:0, m:0, n:0, o:0, p:4089, q:0, r:0, s:0, t:0

Patterns :

confidence :	62.28%
support :	60.54%
number of use :	4089
prediction standard deviation :	0.5847
number of conditions :	1

Details :

Name :

part_3

Subset :

Number of events to predict

: 1875

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0188

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0972, c:0.0186, d:0.0951, e:0.0170, f:0.0360, g:0.0992, h:0.0771, i:0.0878, j:0.0801, k:0.0985, l:0.0008, m:0.0721, n:0.0171, o:0.0559, p:0.0011, q:0.0689, r:0.0227, s:0.0647, t:0.0275

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 2 , 1 }

Average of all coss-validations :

Total number of events

: 10489

Symboles (+number of occurence)

: a:1068, b:113, c:21, d:110, e:19, f:3371, g:115, h:89, i:101, j:93, k:3031, l:0, m:83, n:1999, o:64, p:1, q:79, r:26, s:75, t:31

Patterns :

confidence :	63.26%
support :	90.03%
number of use :	1603
prediction standard deviation :	0.7893
number of conditions :	3

Details :

Name :

part_4

Subset :

Number of events to predict

: 1179

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0118

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0430, c:0.0824, d:0.0086, e:0.0441, f:0.0684, g:0.0972, h:0.0404, i:0.0996, j:0.0977, k:0.0626, l:0.0751, m:0.0187, n:0.0639, o:0.0146, p:0.0452, q:0.0233, r:0.0567, s:0.0976, t:0.0971

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 2 , 2 , 1 }

Average of all coss-validations :

Total number of events

: 12912

Symboles (+number of occurence)

: a:1709, b:2890, c:86, d:8, e:46, f:72, g:1483, h:42, i:2787, j:3210, k:65, l:79, m:19, n:67, o:15, p:47, q:24, r:59, s:102, t:102

Patterns :

confidence :	90.79%
support :	60.28%
number of use :	1145
prediction standard deviation :	0.5646
number of conditions :	4

Details :

Name :

part_5

Subset :

Number of events to predict

: 1871

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0187

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0364, c:0.0019, d:0.0802, e:0.0543, f:0.0076, g:0.0418, h:0.0236, i:0.0788, j:0.0941, k:0.0595, l:0.0886, m:0.0549, n:0.0463, o:0.0831, p:0.0702, q:0.0148, r:0.0478, s:0.0398, t:0.0036

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 10844

Symboles (+number of occurence)

: a:1069, b:42, c:1, d:3647, e:63, f:8, g:48, h:27, i:3004, j:109, k:69, l:103, m:63, n:53, o:97, p:82, q:16, r:2294, s:46, t:3

Patterns :

confidence :	62.21%
support :	90.04%
number of use :	1605
prediction standard deviation :	0.4846
number of conditions :	3

Details :

Name :

part_6

Subset :

Number of events to predict

: 1028

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0103

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0431, c:0.0800, d:0.0142, e:0.0020, f:0.0902, g:0.0988, h:0.0050, i:0.0305, j:0.0036, k:0.0635, l:0.0236, m:0.0179, n:0.0776, o:0.0401, p:0.0206, q:0.0931, r:0.0190, s:0.0650, t:0.0638

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 }

Average of all coss-validations :

Total number of events

: 3372

Symboles (+number of occurence)

: a:1522, b:43, c:80, d:1021, e:1, f:90, g:99, h:4, i:30, j:3, k:63, l:23, m:17, n:77, o:40, p:20, q:93, r:19, s:64, t:63

Patterns :

confidence :	90.01%
support :	60.33%
number of use :	1021
prediction standard deviation :	0.6936
number of conditions :	1

Details :

Name :

part_7

Subset :

Number of events to predict

: 1129

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0113

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0302, c:0.0102, d:0.0925, e:0.0390, f:0.0483, g:0.0107, h:0.0914, i:0.0530, j:0.0479, k:0.0163, l:0.0712, m:0.0730, n:0.0095, o:0.0029, p:0.0072, q:0.0192, r:0.0612, s:0.0577, t:0.0152

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 2 }

Average of all coss-validations :

Total number of events

: 5503

Symboles (+number of occurence)

: a:1088, b:30, c:10, d:94, e:40, f:49, g:10, h:93, i:1587, j:48, k:16, l:72, m:74, n:9, o:2, p:2127, q:19, r:62, s:58, t:15

Patterns :

confidence :	60.92%
support :	60.11%
number of use :	1091
prediction standard deviation :	0.5050
number of conditions :	2

Details :

Name :

part_8

Subset :

Number of events to predict

: 1687

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0169

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0092, c:0.0321, d:0.0956, e:0.0115, f:0.0747, g:0.0011, h:0.0786, i:0.0639, j:0.0538, k:0.0932, l:0.0514, m:0.0714, n:0.0275, o:0.0700, p:0.0634, q:0.0476, r:0.0890, s:0.0566, t:0.0950

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 7933

Symboles (+number of occurence)

: a:1478, b:10, c:36, d:108, e:12, f:84, g:1, h:1637, i:479, j:60, k:106, l:58, m:81, n:31, o:79, p:72, q:54, r:101, s:64, t:3382

Patterns :

confidence :	62.10%
support :	60.21%
number of use :	1484
prediction standard deviation :	0.4577
number of conditions :	3

Details :

Name :

part_9

Subset :

Number of events to predict

: 1015

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0102

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

0.2000

Symboles noises ratio:

a:0.0000, b:0.1804, c:0.1379, d:0.1655, e:0.1810, f:0.0118, g:0.1634, h:0.0554, i:0.0463, j:0.1695, k:0.1445, l:0.1113, m:0.1789, n:0.0274, o:0.1925, p:0.0282, q:0.1045, r:0.0986, s:0.1373, t:0.1661

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 6629

Symboles (+number of occurence)

: a:1005, b:180, c:137, d:165, e:180, f:344, g:163, h:1724, i:46, j:169, k:144, l:111, m:1510, n:27, o:192, p:28, q:104, r:98, s:137, t:165

Patterns :

confidence :	90.56%
support :	90.05%
number of use :	1006
prediction standard deviation :	0.8123
number of conditions :	3

Details :

Name :

part_10

Subset :

Number of events to predict

: 987

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0099

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

0.2000

Symboles noises ratio:

a:0.0000, b:0.0001, c:0.0903, d:0.1560, e:0.0816, f:0.1558, g:0.0498, h:0.1208, i:0.1974, j:0.0931, k:0.1756, l:0.1053, m:0.1181, n:0.1200, o:0.0180, p:0.0375, q:0.0838, r:0.1076, s:0.1721, t:0.0737

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 5937

Symboles (+number of occurence)

: a:657, b:0, c:1764, d:154, e:80, f:154, g:49, h:119, i:196, j:92, k:174, l:104, m:456, n:119, o:17, p:1371, q:82, r:106, s:171, t:72

Patterns :

confidence :	60.58%
support :	90.11%
number of use :	988
prediction standard deviation :	0.6331
number of conditions :	3

Details :

Name :

part_11

Subset :

Number of events to predict

: 956

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0096

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

0.5000

Symboles noises ratio:

a:0.0000, b:0.3377, c:0.3502, d:0.1390, e:0.0670, f:0.2528, g:0.2316, h:0.4618, i:0.3112, j:0.1206, k:0.2869, l:0.0312, m:0.1290, n:0.3306, o:0.0139, p:0.2608, q:0.4936, r:0.0301, s:0.3454, t:0.1520

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 2 }

Average of all coss-validations :

Total number of events

: 10264

Symboles (+number of occurence)

: a:1452, b:336, c:1679, d:138, e:66, f:251, g:230, h:2130, i:309, j:119, k:285, l:31, m:128, n:329, o:13, p:1754, q:491, r:29, s:343, t:151

Patterns :

confidence :	90.56%
support :	60.34%
number of use :	974
prediction standard deviation :	0.8646
number of conditions :	3

Details :

Name :

part_12

Subset :

Number of events to predict

: 1131

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0113

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.5000

Symboles noises ratio:

a:0.0000, b:0.2865, c:0.1060, d:0.0266, e:0.0461, f:0.4684, g:0.4948, h:0.2835, i:0.0633, j:0.2732, k:0.4390, l:0.3198, m:0.1859, n:0.3434, o:0.0686, p:0.1958, q:0.0614, r:0.3674, s:0.4675, t:0.0962

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 2 , 2 , 0 }

Average of all coss-validations :

Total number of events

: 13718

Symboles (+number of occurence)

: a:1620, b:293, c:108, d:26, e:2829, f:480, g:506, h:290, i:64, j:280, k:449, l:2698, m:190, n:351, o:70, p:2006, q:62, r:376, s:479, t:541

Patterns :

confidence :	61.40%
support :	40.36%
number of use :	1091
prediction standard deviation :	0.7968
number of conditions :	4

Details :

Name :

part_13

Subset :

Number of events to predict

: 1128

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0113

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

0.5000

Symboles noises ratio:

a:0.0000, b:0.1524, c:0.2068, d:0.3758, e:0.2197, f:0.2076, g:0.4509, h:0.4467, i:0.4014, j:0.1373, k:0.3541, l:0.0626, m:0.2761, n:0.2105, o:0.0938, p:0.3172, q:0.0034, r:0.0816, s:0.0965, t:0.3856

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 }

Average of all coss-validations :

Total number of events

: 7261

Symboles (+number of occurence)

: a:1625, b:156, c:212, d:387, e:226, f:213, g:464, h:460, i:413, j:141, k:365, l:1095, m:284, n:216, o:96, p:326, q:3, r:83, s:99, t:397

Patterns :

confidence :	60.32%
support :	40.39%
number of use :	1095
prediction standard deviation :	0.5525
number of conditions :	1

Details :

Name :

part_14

Subset :

Number of events to predict

: 3606

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0361

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

1.0000

Symboles noises ratio:

a:0.0000, b:0.2672, c:0.2569, d:0.0663, e:0.8191, f:0.8673, g:0.5885, h:0.0127, i:0.9625, j:0.3915, k:0.9331, l:0.6510, m:0.3234, n:0.4212, o:0.2029, p:0.8992, q:0.9412, r:0.3840, s:0.7683, t:0.0587

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 }

Average of all coss-validations :

Total number of events

: 18413

Symboles (+number of occurence)

: a:2750, b:387, c:371, d:95, e:1187, f:1257, g:852, h:18, i:1394, j:567, k:1352, l:943, m:468, n:610, o:293, p:2752, q:1364, r:556, s:1113, t:84

Patterns :

confidence :	90.41%
support :	90.07%
number of use :	2752
prediction standard deviation :	0.6876
number of conditions :	1

Details :

Name :

part_15

Subset :

Number of events to predict

: 2142

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0214

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

1.0000

Symboles noises ratio:

a:0.0000, b:0.5050, c:0.0961, d:0.6342, e:0.7022, f:0.3257, g:0.5942, h:0.0843, i:0.4841, j:0.0277, k:0.5212, l:0.8703, m:0.1534, n:0.2559, o:0.9417, p:0.3335, q:0.7923, r:0.6558, s:0.6297, t:0.7703

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 0 , 1 , 0 }

Average of all coss-validations :

Total number of events

: 22974

Symboles (+number of occurence)

: a:1777, b:614, c:116, d:771, e:854, f:4246, g:722, h:102, i:588, j:33, k:633, l:1058, m:186, n:2145, o:1145, p:2999, q:2487, r:797, s:765, t:936

Patterns :

confidence :	64.91%
support :	60.33%
number of use :	1787
prediction standard deviation :	0.7957
number of conditions :	4

Details :

Name :

part_16

Subset :

Number of events to predict

: 4751

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0475

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

1.0000

Symboles noises ratio:

a:0.0000, b:0.6764, c:0.7946, d:0.7141, e:0.2685, f:0.8703, g:0.6972, h:0.5935, i:0.1556, j:0.7744, k:0.6847, l:0.8260, m:0.1166, n:0.5241, o:0.7538, p:0.3828, q:0.5652, r:0.8704, s:0.8532, t:0.6888

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 0 , 1 }

Average of all coss-validations :

Total number of events

: 31415

Symboles (+number of occurence)

: a:4843, b:7017, c:1160, d:1043, e:392, f:1271, g:1018, h:866, i:227, j:1131, k:1000, l:1206, m:170, n:765, o:4401, p:558, q:825, r:1271, s:1246, t:1005

Patterns :

confidence :	66.27%
support :	41.10%
number of use :	3336
prediction standard deviation :	0.7554
number of conditions :	3

Details :

Name :

part_17

Subset :

Number of events to predict

: 8040

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0804

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

1.0000

Symboles noises ratio:

a:0.0000, b:0.7202, c:0.0549, d:0.2904, e:0.1973, f:0.5358, g:0.3935, h:0.4435, i:0.9906, j:0.0625, k:0.2448, l:0.5568, m:0.3533, n:0.4247, o:0.9436, p:0.6923, q:0.8902, r:0.4974, s:0.8228, t:0.9731

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 }

Average of all coss-validations :

Total number of events

: 29455

Symboles (+number of occurence)

: a:5437, b:1385, c:105, d:558, e:379, f:1030, g:756, h:852, i:1905, j:120, k:470, l:1070, m:679, n:5443, o:1814, p:1331, q:1712, r:956, s:1582, t:1871

Patterns :

confidence :	91.36%
support :	90.09%
number of use :	5443
prediction standard deviation :	0.6809
number of conditions :	1

Details :

Name :

part_18

Subset :

Number of events to predict

: 2955

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0295

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

1.0000

Symboles noises ratio:

a:0.0000, b:0.7195, c:0.1041, d:0.3489, e:0.2325, f:0.4147, g:0.4301, h:0.4649, i:0.1441, j:0.2918, k:0.9792, l:0.0307, m:0.8321, n:0.3829, o:0.4572, p:0.5978, q:0.1550, r:0.8895, s:0.3788, t:0.4123

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 }

Average of all coss-validations :

Total number of events

: 14918

Symboles (+number of occurence)

: a:2335, b:2337, c:141, d:473, e:315, f:563, g:584, h:631, i:195, j:396, k:1331, l:41, m:1131, n:520, o:621, p:812, q:210, r:1208, s:514, t:560

Patterns :

confidence :	90.35%
support :	90.06%
number of use :	2337
prediction standard deviation :	0.4986
number of conditions :	1

Details :

Name :

part_19

Subset :

Number of events to predict

: 3295

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0329

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

1.0000

Symboles noises ratio:

a:0.0000, b:0.8884, c:0.5457, d:0.8890, e:0.8389, f:0.1661, g:0.2860, h:0.9300, i:0.3563, j:0.3410, k:0.2875, l:0.0653, m:0.3717, n:0.2631, o:0.6944, p:0.9486, q:0.0019, r:0.4848, s:0.6780, t:0.2636

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 }

Average of all coss-validations :

Total number of events

: 22945

Symboles (+number of occurence)

: a:3710, b:1201, c:3484, d:1202, e:1134, f:224, g:386, h:1258, i:481, j:461, k:388, l:88, m:502, n:355, o:939, p:1283, q:2, r:4574, s:917, t:356

Patterns :

confidence :	91.44%
support :	60.60%
number of use :	2500
prediction standard deviation :	0.6171
number of conditions :	2

Details :

Name :

part_20

Subset :

Number of events to predict

: 2522

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0252

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:1.3121, c:0.8680, d:0.6969, e:1.4802, f:1.0049, g:0.9796, h:0.5242, i:0.1929, j:1.1976, k:0.3682, l:1.1130, m:0.1160, n:0.8351, o:1.3961, p:0.7181, q:1.4437, r:0.2813, s:0.6973, t:1.2584

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 32035

Symboles (+number of occurence)

: a:2009, b:1641, c:1085, d:871, e:1851, f:1256, g:1225, h:655, i:240, j:1497, k:460, l:5244, m:145, n:1044, o:1746, p:898, q:4237, r:3485, s:872, t:1574

Patterns :

confidence :	91.69%
support :	90.08%
number of use :	2012
prediction standard deviation :	0.7584
number of conditions :	3

Details :

Name :

part_21

Subset :

Number of events to predict

: 1218

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0122

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:1.1929, c:1.0945, d:0.8374, e:0.8606, f:0.4655, g:1.0547, h:0.7062, i:0.8868, j:1.2953, k:0.8029, l:0.1813, m:1.1053, n:0.0327, o:1.3284, p:0.8409, q:0.1052, r:1.0569, s:0.2010, t:0.3233

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 0 , 1 , 0 }

Average of all coss-validations :

Total number of events

: 24079

Symboles (+number of occurence)

: a:2569, b:1249, c:1146, d:2432, e:901, f:487, g:4414, h:739, i:928, j:1356, k:840, l:189, m:1415, n:33, o:1391, p:2226, q:110, r:1106, s:210, t:338

Patterns :

confidence :	90.74%
support :	40.50%
number of use :	1156
prediction standard deviation :	0.7360
number of conditions :	4

Details :

Name :

part_22

Subset :

Number of events to predict

: 2113

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0211

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.3333, c:1.2235, d:0.6170, e:1.1071, f:1.1223, g:1.2803, h:0.3459, i:0.6796, j:1.4353, k:1.2675, l:1.4248, m:0.1304, n:0.2914, o:0.9853, p:0.6658, q:1.3149, r:1.1752, s:0.1543, t:0.7711

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 2 , 0 }

Average of all coss-validations :

Total number of events

: 30364

Symboles (+number of occurence)

: a:2613, b:402, c:1478, d:745, e:1337, f:4762, g:1547, h:417, i:820, j:1734, k:4547, l:1721, m:157, n:1965, o:1190, p:804, q:1588, r:1420, s:186, t:931

Patterns :

confidence :	64.29%
support :	40.50%
number of use :	1765
prediction standard deviation :	0.6177
number of conditions :	3

Details :

Name :

part_23

Subset :

Number of events to predict

: 3947

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0395

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.0044, c:1.2677, d:1.0335, e:1.0512, f:1.2373, g:0.3399, h:1.3219, i:1.4301, j:0.2255, k:1.3229, l:0.9299, m:0.3201, n:1.4471, o:0.0238, p:0.8717, q:0.3620, r:1.3583, s:1.1066, t:0.6077

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 1 , 1 }

Average of all coss-validations :

Total number of events

: 33907

Symboles (+number of occurence)

: a:1907, b:5, c:1759, d:1434, e:1459, f:1717, g:2842, h:1835, i:1985, j:312, k:1836, l:1290, m:7510, n:2009, o:32, p:1209, q:502, r:1885, s:1536, t:843

Patterns :

confidence :	66.94%
support :	90.02%
number of use :	2862
prediction standard deviation :	0.7888
number of conditions :	3

Details :

Name :

part_24

Subset :

Number of events to predict

: 972

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0097

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:1.4599, c:0.3889, d:1.4938, e:0.2733, f:0.2756, g:0.4989, h:0.9666, i:1.2815, j:1.4289, k:0.5149, l:1.1976, m:0.9271, n:0.5519, o:0.5769, p:1.1984, q:1.3112, r:0.8823, s:1.3215, t:0.8409

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 26642

Symboles (+number of occurence)

: a:657, b:1461, c:389, d:1495, e:273, f:275, g:499, h:967, i:2712, j:1430, k:3678, l:1199, m:928, n:552, o:577, p:2485, q:1313, r:3588, s:1323, t:841

Patterns :

confidence :	61.93%
support :	90.11%
number of use :	987
prediction standard deviation :	0.5004
number of conditions :	4

Details :

Name :

part_25

Subset :

Number of events to predict

: 1774

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0177

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:1.4584, c:0.7582, d:0.6463, e:0.9944, f:1.2205, g:0.0753, h:0.3487, i:0.7864, j:0.6926, k:1.3695, l:0.0603, m:1.1822, n:0.7040, o:0.2636, p:1.3716, q:1.0621, r:0.2263, s:0.7377, t:0.8532

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 25595

Symboles (+number of occurence)

: a:2299, b:1686, c:876, d:747, e:1149, f:2567, g:1618, h:402, i:909, j:800, k:1583, l:69, m:1367, n:813, o:3798, p:1585, q:1228, r:261, s:852, t:986

Patterns :

confidence :	91.35%
support :	60.39%
number of use :	1543
prediction standard deviation :	0.7456
number of conditions :	3

Details :

Name :

part_26

Subset :

Number of events to predict

: 1422

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0142

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.7747, c:0.7219, d:1.1687, e:0.8329, f:1.2866, g:0.6543, h:1.4559, i:1.0851, j:1.2859, k:1.3719, l:0.4742, m:0.7273, n:1.3851, o:0.5312, p:0.5085, q:1.0087, r:1.1004, s:0.6929, t:1.2142

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 28854

Symboles (+number of occurence)

: a:2954, b:871, c:2705, d:1315, e:936, f:1447, g:736, h:1638, i:1221, j:1446, k:1543, l:2266, m:2532, n:1558, o:597, p:572, q:1134, r:1238, s:779, t:1366

Patterns :

confidence :	90.30%
support :	40.68%
number of use :	1336
prediction standard deviation :	0.6569
number of conditions :	3

Details :

Name :

part_27

Subset :

Number of events to predict

: 92

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0009

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.2591, c:0.5590, d:0.8714, e:0.7092, f:0.4735, g:1.1818, h:0.6945, i:0.2879, j:0.7683, k:1.0649, l:0.8349, m:1.4692, n:0.9188, o:0.2244, p:0.6108, q:0.4940, r:1.2323, s:1.4129, t:0.2450

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 2 , 0 }

Average of all coss-validations :

Total number of events

: 14500

Symboles (+number of occurence)

: a:416, b:166, c:357, d:2592, e:454, f:1153, g:757, h:444, i:184, j:492, k:682, l:534, m:941, n:588, o:143, p:391, q:2356, r:789, s:905, t:156

Patterns :

confidence :	89.60%
support :	40.18%
number of use :	187
prediction standard deviation :	0.6710
number of conditions :	4

Details :

Name :

part_28

Subset :

Number of events to predict

: 2901

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0290

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.6209, c:1.1946, d:0.0231, e:1.1795, f:0.2796, g:1.4410, h:0.5582, i:0.3601, j:1.2166, k:1.0436, l:1.4013, m:0.0888, n:0.5005, o:1.2545, p:1.4322, q:1.3346, r:0.5345, s:1.3068, t:0.5748

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 2 }

Average of all coss-validations :

Total number of events

: 29441

Symboles (+number of occurence)

: a:2328, b:866, c:1667, d:2227, e:1646, f:389, g:2011, h:779, i:502, j:1698, k:3569, l:1956, m:123, n:698, o:1751, p:1999, q:1862, r:745, s:1823, t:802

Patterns :

confidence :	62.27%
support :	60.43%
number of use :	2346
prediction standard deviation :	0.8587
number of conditions :	2

Details :

Name :

part_29

Subset :

Number of events to predict

: 6677

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0668

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:1.2720, c:0.3629, d:0.9815, e:1.3042, f:0.8161, g:0.2251, h:0.7760, i:0.9389, j:0.4304, k:1.1162, l:0.5283, m:1.2547, n:0.2155, o:0.2404, p:0.1910, q:0.9219, r:0.4297, s:1.2792, t:0.2231

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 }

Average of all coss-validations :

Total number of events

: 34857

Symboles (+number of occurence)

: a:6626, b:2257, c:643, d:1741, e:2314, f:1448, g:399, h:1376, i:1665, j:763, k:1980, l:937, m:2226, n:382, o:426, p:4613, q:1635, r:762, s:2269, t:395

Patterns :

confidence :	62.30%
support :	41.46%
number of use :	4613
prediction standard deviation :	0.5179
number of conditions :	1

Details :

Name :

part_30

Subset :

Number of events to predict

: 4067

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0407

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.5885, c:0.7702, d:0.3143, e:0.1771, f:1.4891, g:1.1967, h:0.4056, i:0.7841, j:1.0652, k:0.7538, l:0.7483, m:0.7344, n:0.9237, o:1.3639, p:0.9499, q:1.3196, r:1.4596, s:1.2779, t:0.3867

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

100.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 1 , 1 }

Average of all coss-validations :

Total number of events

: 41792

Symboles (+number of occurence)

: a:3254, b:1028, c:1346, d:549, e:309, f:7537, g:2091, h:708, i:3542, j:1861, k:1317, l:1307, m:1283, n:1614, o:2383, p:1659, q:2306, r:2551, s:4472, t:675

Patterns :

confidence :	63.44%
support :	60.48%
number of use :	3281
prediction standard deviation :	0.7965
number of conditions :	3

Details :

Name :

part_31

Subset :

Number of events to predict

: 1364

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0136

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.4843, c:1.2071, d:0.1440, e:0.7730, f:0.9689, g:1.3026, h:1.4240, i:0.1734, j:0.8951, k:0.4281, l:0.4895, m:0.7705, n:0.5658, o:0.8846, p:0.1380, q:0.4751, r:0.9545, s:0.1681, t:1.3914

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 26446

Symboles (+number of occurence)

: a:1296, b:540, c:2981, d:160, e:862, f:4601, g:1453, h:1589, i:193, j:998, k:477, l:546, m:859, n:631, o:4073, p:1854, q:530, r:1064, s:187, t:1552

Patterns :

confidence :	91.32%
support :	90.08%
number of use :	1298
prediction standard deviation :	0.6810
number of conditions :	4

Details :

Name :

part_32

Subset :

Number of events to predict

: 1195

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0120

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.4688, c:1.3690, d:1.3746, e:1.4722, f:1.1090, g:0.6586, h:0.1273, i:0.2886, j:1.3168, k:0.2576, l:1.0948, m:0.6927, n:0.9157, o:0.0417, p:1.2958, q:1.1311, r:0.2162, s:0.5422, t:1.0271

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 }

Average of all coss-validations :

Total number of events

: 19464

Symboles (+number of occurence)

: a:761, b:489, c:1430, d:1436, e:1538, f:1158, g:687, h:132, i:301, j:2420, k:1849, l:1143, m:723, n:956, o:43, p:1353, q:1181, r:225, s:566, t:1073

Patterns :

confidence :	62.01%
support :	90.08%
number of use :	1142
prediction standard deviation :	0.7977
number of conditions :	2

Details :

Name :

part_33

Subset :

Number of events to predict

: 821

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0082

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

2.0000

Symboles noises ratio:

a:0.0000, b:0.7905, c:0.3557, d:1.3587, e:0.9027, f:1.7811, g:1.3090, h:0.2891, i:1.5638, j:1.2758, k:1.6030, l:0.4115, m:1.8495, n:0.6208, o:1.9584, p:1.7993, q:0.4584, r:1.0439, s:1.1470, t:0.9151

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 2 , 1 }

Average of all coss-validations :

Total number of events

: 27267

Symboles (+number of occurence)

: a:1285, b:753, c:338, d:1294, e:859, f:1697, g:1246, h:1512, i:1489, j:2874, k:1527, l:3065, m:1762, n:591, o:1866, p:1714, q:436, r:994, s:1093, t:872

Patterns :

confidence :	61.73%
support :	40.27%
number of use :	863
prediction standard deviation :	0.5690
number of conditions :	4

Details :

Name :

part_34

Subset :

Number of events to predict

: 5191

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0519

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

2.0000

Symboles noises ratio:

a:0.0000, b:1.9707, c:1.6430, d:1.4250, e:0.3767, f:0.9549, g:0.0915, h:1.9666, i:1.6526, j:1.2219, k:0.9198, l:1.6358, m:0.7819, n:0.7583, o:1.1217, p:1.0665, q:1.5706, r:1.3764, s:0.4117, t:0.6377

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 1 , 2 , 1 }

Average of all coss-validations :

Total number of events

: 53671

Symboles (+number of occurence)

: a:5386, b:3049, c:2542, d:2204, e:582, f:1477, g:2130, h:3043, i:11297, j:1890, k:1423, l:2530, m:1209, n:1173, o:1735, p:1650, q:6600, r:2129, s:636, t:986

Patterns :

confidence :	92.96%
support :	60.73%
number of use :	3643
prediction standard deviation :	0.6929
number of conditions :	4

Details :

Name :

part_35

Subset :

Number of events to predict

: 2193

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0219

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

2.0000

Symboles noises ratio:

a:0.0000, b:0.5406, c:1.1433, d:1.3627, e:0.1661, f:0.0877, g:1.4463, h:1.7800, i:0.2777, j:1.1515, k:0.6542, l:1.7805, m:0.4514, n:1.4737, o:1.4023, p:0.0944, q:1.5395, r:0.0668, s:0.9096, t:1.7439

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 0 }

Average of all coss-validations :

Total number of events

: 27298

Symboles (+number of occurence)

: a:1201, b:652, c:1380, d:1645, e:200, f:105, g:2955, h:2150, i:335, j:1390, k:790, l:2150, m:545, n:1779, o:1693, p:113, q:1859, r:3152, s:1098, t:2106

Patterns :

confidence :	61.91%
support :	90.07%
number of use :	1804
prediction standard deviation :	0.5242
number of conditions :	2

Details :

Name :

part_36

Subset :

Number of events to predict

: 6002

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0600

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

2.0000

Symboles noises ratio:

a:0.0000, b:0.7827, c:0.8694, d:0.7328, e:0.7778, f:0.0074, g:1.4614, h:1.1394, i:1.2495, j:0.4614, k:1.4035, l:1.9648, m:0.9589, n:0.2570, o:0.5408, p:0.4515, q:0.0672, r:1.7669, s:1.1052, t:1.1037

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

100.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 41134

Symboles (+number of occurence)

: a:8948, b:1341, c:1490, d:1255, e:4215, f:12, g:2505, h:1953, i:2141, j:790, k:2406, l:3368, m:1643, n:440, o:926, p:773, q:115, r:3028, s:1894, t:1891

Patterns :

confidence :	90.90%
support :	42.05%
number of use :	4215
prediction standard deviation :	0.4823
number of conditions :	1

Details :

Name :

part_37

Subset :

Number of events to predict

: 7748

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0775

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

2.0000

Symboles noises ratio:

a:0.0000, b:1.3177, c:1.4354, d:0.0314, e:1.3993, f:0.7199, g:0.3521, h:1.1056, i:0.3886, j:1.0845, k:0.7894, l:1.5989, m:1.3089, n:1.2770, o:1.3726, p:1.0809, q:0.3416, r:1.2053, s:0.1615, t:0.8852

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

100.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 44533

Symboles (+number of occurence)

: a:7499, b:2496, c:2719, d:59, e:2651, f:1363, g:667, h:2094, i:736, j:5269, k:1495, l:3029, m:2479, n:2419, o:2600, p:2047, q:646, r:2283, s:305, t:1677

Patterns :

confidence :	63.95%
support :	41.77%
number of use :	5269
prediction standard deviation :	0.7587
number of conditions :	1

Details :

Name :

part_38

Subset :

Number of events to predict

: 2005

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0201

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

2.0000

Symboles noises ratio:

a:0.0000, b:0.1386, c:0.3829, d:1.0640, e:0.1113, f:0.0433, g:1.5858, h:1.9960, i:0.3669, j:0.5312, k:0.0714, l:1.6141, m:0.2779, n:0.0547, o:0.9734, p:0.1821, q:0.1586, r:1.2855, s:1.5898, t:0.7211

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 24097

Symboles (+number of occurence)

: a:3678, b:161, c:447, d:2799, e:130, f:50, g:1854, h:2333, i:428, j:621, k:83, l:1887, m:324, n:63, o:1138, p:212, q:185, r:5003, s:1858, t:843

Patterns :

confidence :	91.43%
support :	40.86%
number of use :	1672
prediction standard deviation :	0.6683
number of conditions :	3

Details :

Name :

part_39

Subset :

Number of events to predict

: 9483

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0948

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:4.3607, c:3.0222, d:1.7748, e:0.7602, f:0.4929, g:0.0095, h:1.3802, i:2.6562, j:0.1820, k:3.4304, l:1.6235, m:2.9350, n:4.9984, o:0.1490, p:3.5666, q:3.7874, r:0.2858, s:2.9373, t:2.1961

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 90561

Symboles (+number of occurence)

: a:4187, b:8917, c:6180, d:3629, e:1554, f:1007, g:19, h:6286, i:5431, j:372, k:7015, l:3319, m:6001, n:10221, o:304, p:7293, q:7745, r:584, s:6006, t:4491

Patterns :

confidence :	63.35%
support :	90.04%
number of use :	6286
prediction standard deviation :	0.6221
number of conditions :	1

Details :

Name :

part_40

Subset :

Number of events to predict

: 6678

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0668

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:1.2692, c:1.1930, d:2.8322, e:1.5701, f:0.8381, g:1.8590, h:0.5781, i:1.9787, j:4.4381, k:0.8564, l:1.4154, m:1.6652, n:3.2247, o:4.7760, p:4.0027, q:4.8313, r:2.2172, s:2.0299, t:0.9704

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 86228

Symboles (+number of occurence)

: a:6818, b:2276, c:2140, d:5080, e:2816, f:1503, g:3334, h:1037, i:3549, j:7961, k:4633, l:2538, m:2987, n:5784, o:8567, p:7180, q:8667, r:3977, s:3641, t:1740

Patterns :

confidence :	91.02%
support :	60.99%
number of use :	4633
prediction standard deviation :	0.6832
number of conditions :	1

Details :

Name :

part_41

Subset :

Number of events to predict

: 35633

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.3563

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:2.1053, c:4.0110, d:4.9348, e:0.5426, f:2.8225, g:1.6801, h:0.8873, i:2.0709, j:3.3600, k:3.7194, l:2.3313, m:4.2642, n:3.8759, o:4.7868, p:4.9697, q:1.7368, r:2.7284, s:4.9514, t:2.1864

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 }

Average of all coss-validations :

Total number of events

: 226151

Symboles (+number of occurence)

: a:20700, b:7335, c:13976, d:17194, e:1890, f:9834, g:5854, h:3091, i:7215, j:11708, k:12960, l:8123, m:14858, n:13505, o:16679, p:20801, q:6051, r:9507, s:17252, t:7618

Patterns :

confidence :	93.37%
support :	90.30%
number of use :	20801
prediction standard deviation :	0.7052
number of conditions :	1

Details :

Name :

part_42

Subset :

Number of events to predict

: 5860

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0586

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:2.1998, c:0.0749, d:2.2769, e:4.0900, f:3.4241, g:2.0844, h:4.8855, i:4.5693, j:3.5616, k:1.3437, l:0.9566, m:1.7701, n:0.4617, o:4.0602, p:4.7089, q:2.9674, r:0.3829, s:2.2070, t:2.9674

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 86844

Symboles (+number of occurence)

: a:5727, b:3408, c:115, d:3527, e:8925, f:5305, g:3229, h:7569, i:7080, j:5518, k:2081, l:2022, m:2742, n:715, o:6291, p:7295, q:4597, r:592, s:3419, t:6687

Patterns :

confidence :	64.66%
support :	41.38%
number of use :	3979
prediction standard deviation :	0.6513
number of conditions :	3

Details :

Name :

part_43

Subset :

Number of events to predict

: 7329

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.0733

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

10.0000

Symboles noises ratio:

a:0.0000, b:4.7389, c:8.8459, d:1.3413, e:4.9568, f:6.1093, g:8.4530, h:1.9061, i:3.5382, j:4.6721, k:3.2737, l:8.6627, m:1.6588, n:7.7528, o:2.2934, p:6.5980, q:8.9859, r:9.1498, s:7.2504, t:7.9185

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 0 }

Average of all coss-validations :

Total number of events

: 207590

Symboles (+number of occurence)

: a:3302, b:8491, c:15850, d:2403, e:9478, f:10947, g:15147, h:3415, i:11849, j:12844, k:5866, l:15523, m:2972, n:13892, o:4109, p:11823, q:16102, r:16396, s:12992, t:14189

Patterns :

confidence :	65.15%
support :	90.04%
number of use :	4956
prediction standard deviation :	0.5102
number of conditions :	3

Details :

Name :

part_44

Subset :

Number of events to predict

: 14231

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.1423

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

10.0000

Symboles noises ratio:

a:0.0000, b:6.7559, c:4.7492, d:6.5997, e:2.8692, f:7.9530, g:0.1877, h:7.6897, i:6.6725, j:7.1761, k:9.1236, l:1.7457, m:2.5497, n:2.0637, o:4.7752, p:3.5230, q:3.7285, r:6.6639, s:6.3575, t:8.2414

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 254478

Symboles (+number of occurence)

: a:12350, b:16176, c:11371, d:15802, e:6870, f:19043, g:449, h:18412, i:15977, j:17182, k:21846, l:4179, m:6104, n:9010, o:11434, p:8435, q:8927, r:15956, s:15222, t:19733

Patterns :

confidence :	63.37%
support :	42.90%
number of use :	9010
prediction standard deviation :	0.4739
number of conditions :	1

Details :

Name :

part_45

Subset :

Number of events to predict

: 30572

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.3057

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

10.0000

Symboles noises ratio:

a:0.0000, b:7.6774, c:8.7349, d:7.6926, e:1.6398, f:9.0906, g:5.9710, h:8.1132, i:3.2171, j:9.2515, k:8.0797, l:6.8512, m:2.6449, n:3.9476, o:3.1480, p:4.2698, q:5.7157, r:3.1890, s:6.4925, t:2.3033

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

100.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 1 , 1 , 1 }

Average of all coss-validations :

Total number of events

: 273904

Symboles (+number of occurence)

: a:23222, b:20877, c:18583, d:16365, e:3488, f:25653, g:18152, h:17260, i:6844, j:19682, k:17189, l:14575, m:5626, n:12953, o:6697, p:9083, q:12159, r:6784, s:13812, t:4900

Patterns :

confidence :	94.85%
support :	63.31%
number of use :	16913
prediction standard deviation :	0.8364
number of conditions :	4

Details :

Name :

part_46

Subset :

Number of events to predict

: 66585

Time range of dataset

: [ 0 , 100000 ]

Density of events to predict

: 0.6658

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

10.0000

Symboles noises ratio:

a:0.0000, b:6.6900, c:8.4208, d:2.9223, e:3.9611, f:9.1177, g:8.2806, h:4.5096, i:4.7072, j:2.9324, k:8.6630, l:2.4858, m:0.1385, n:0.7279, o:6.0052, p:6.4445, q:6.1273, r:2.6763, s:0.3703, t:0.8847

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

100.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 441718

Symboles (+number of occurence)

: a:39457, b:30659, c:38591, d:13392, e:18153, f:41786, g:37949, h:20667, i:21572, j:13438, k:39701, l:11392, m:634, n:3335, o:27521, p:37375, q:28081, r:12265, s:1696, t:4054

Patterns :

confidence :	74.60%
support :	50.90%
number of use :	37375
prediction standard deviation :	0.7050
number of conditions :	1

Details :

Name :

part_47

Subset :

Number of events to predict

: 3398

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.3398

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.0000

Symboles noises ratio:

a:0.0000, b:0.0000, c:0.0000, d:0.0000, e:0.0000, f:0.0000, g:0.0000, h:0.0000, i:0.0000, j:0.0000, k:0.0000, l:0.0000, m:0.0000, n:0.0000, o:0.0000, p:0.0000, q:0.0000, r:0.0000, s:0.0000, t:0.0000

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 16293

Symboles (+number of occurence)

: a:5721, b:0, c:0, d:0, e:344, f:0, g:3904, h:0, i:0, j:0, k:1781, l:4543, m:0, n:0, o:0, p:0, q:0, r:0, s:0, t:0

Patterns :

confidence :	95.51%
support :	41.36%
number of use :	2636
prediction standard deviation :	0.6286
number of conditions :	4

Details :

Name :

part_48

Subset :

Number of events to predict

: 2862

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.2862

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

0.0000

Symboles noises ratio:

a:0.0000, b:0.0000, c:0.0000, d:0.0000, e:0.0000, f:0.0000, g:0.0000, h:0.0000, i:0.0000, j:0.0000, k:0.0000, l:0.0000, m:0.0000, n:0.0000, o:0.0000, p:0.0000, q:0.0000, r:0.0000, s:0.0000, t:0.0000

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 4559

Symboles (+number of occurence)

: a:2279, b:0, c:2280, d:0, e:0, f:0, g:0, h:0, i:0, j:0, k:0, l:0, m:0, n:0, o:0, p:0, q:0, r:0, s:0, t:0

Patterns :

confidence :	93.86%
support :	90.04%
number of use :	2280
prediction standard deviation :	0.6780
number of conditions :	1

Details :

Name :

part_49

Subset :

Number of events to predict

: 195

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.0195

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.0000

Symboles noises ratio:

a:0.0000, b:0.0000, c:0.0000, d:0.0000, e:0.0000, f:0.0000, g:0.0000, h:0.0000, i:0.0000, j:0.0000, k:0.0000, l:0.0000, m:0.0000, n:0.0000, o:0.0000, p:0.0000, q:0.0000, r:0.0000, s:0.0000, t:0.0000

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 2 , 0 , 2 }

Average of all coss-validations :

Total number of events

: 4989

Symboles (+number of occurence)

: a:343, b:0, c:0, d:0, e:0, f:0, g:0, h:0, i:0, j:0, k:1849, l:0, m:1104, n:0, o:0, p:1693, q:0, r:0, s:0, t:0

Patterns :

confidence :	91.11%
support :	60.27%
number of use :	230
prediction standard deviation :	0.5128
number of conditions :	4

Details :

Name :

part_50

Subset :

Number of events to predict

: 2327

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.2327

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

0.0000

Symboles noises ratio:

a:0.0000, b:0.0000, c:0.0000, d:0.0000, e:0.0000, f:0.0000, g:0.0000, h:0.0000, i:0.0000, j:0.0000, k:0.0000, l:0.0000, m:0.0000, n:0.0000, o:0.0000, p:0.0000, q:0.0000, r:0.0000, s:0.0000, t:0.0000

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 1 , 0 }

Average of all coss-validations :

Total number of events

: 8459

Symboles (+number of occurence)

: a:1907, b:0, c:0, d:0, e:2835, f:0, g:0, h:0, i:0, j:0, k:1650, l:0, m:2067, n:0, o:0, p:0, q:0, r:0, s:0, t:0

Patterns :

confidence :	94.03%
support :	90.09%
number of use :	1909
prediction standard deviation :	0.6862
number of conditions :	3

Details :

Name :

part_51

Subset :

Number of events to predict

: 2827

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.2827

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

0.0000

Symboles noises ratio:

a:0.0000, b:0.0000, c:0.0000, d:0.0000, e:0.0000, f:0.0000, g:0.0000, h:0.0000, i:0.0000, j:0.0000, k:0.0000, l:0.0000, m:0.0000, n:0.0000, o:0.0000, p:0.0000, q:0.0000, r:0.0000, s:0.0000, t:0.0000

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 5564

Symboles (+number of occurence)

: a:3315, b:0, c:0, d:0, e:0, f:0, g:0, h:0, i:0, j:0, k:0, l:0, m:0, n:0, o:0, p:0, q:0, r:2249, s:0, t:0

Patterns :

confidence :	71.98%
support :	40.66%
number of use :	2249
prediction standard deviation :	0.7016
number of conditions :	1

Details :

Name :

part_52

Subset :

Number of events to predict

: 5392

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.5392

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

0.0000

Symboles noises ratio:

a:0.0000, b:0.0000, c:0.0000, d:0.0000, e:0.0000, f:0.0000, g:0.0000, h:0.0000, i:0.0000, j:0.0000, k:0.0000, l:0.0000, m:0.0000, n:0.0000, o:0.0000, p:0.0000, q:0.0000, r:0.0000, s:0.0000, t:0.0000

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

100.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 1 }

Average of all coss-validations :

Total number of events

: 10436

Symboles (+number of occurence)

: a:3728, b:0, c:0, d:0, e:0, f:0, g:0, h:0, i:0, j:4033, k:0, l:0, m:0, n:0, o:0, p:0, q:2675, r:0, s:0, t:0

Patterns :

confidence :	79.94%
support :	60.57%
number of use :	3771
prediction standard deviation :	0.7814
number of conditions :	2

Details :

Name :

part_53

Subset :

Number of events to predict

: 1289

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.1289

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.0000

Symboles noises ratio:

a:0.0000, b:0.0000, c:0.0000, d:0.0000, e:0.0000, f:0.0000, g:0.0000, h:0.0000, i:0.0000, j:0.0000, k:0.0000, l:0.0000, m:0.0000, n:0.0000, o:0.0000, p:0.0000, q:0.0000, r:0.0000, s:0.0000, t:0.0000

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

100.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 1 , 1 , 1 }

Average of all coss-validations :

Total number of events

: 11274

Symboles (+number of occurence)

: a:1823, b:0, c:2744, d:0, e:0, f:0, g:3220, h:0, i:0, j:0, k:0, l:0, m:0, n:0, o:0, p:0, q:2268, r:0, s:1219, t:0

Patterns :

confidence :	76.15%
support :	40.44%
number of use :	1230
prediction standard deviation :	0.8277
number of conditions :	4

Details :

Name :

part_54

Subset :

Number of events to predict

: 1529

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.1529

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

0.0000

Symboles noises ratio:

a:0.0000, b:0.0000, c:0.0000, d:0.0000, e:0.0000, f:0.0000, g:0.0000, h:0.0000, i:0.0000, j:0.0000, k:0.0000, l:0.0000, m:0.0000, n:0.0000, o:0.0000, p:0.0000, q:0.0000, r:0.0000, s:0.0000, t:0.0000

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 }

Average of all coss-validations :

Total number of events

: 3693

Symboles (+number of occurence)

: a:914, b:1110, c:0, d:0, e:0, f:1669, g:0, h:0, i:0, j:0, k:0, l:0, m:0, n:0, o:0, p:0, q:0, r:0, s:0, t:0

Patterns :

confidence :	68.49%
support :	90.16%
number of use :	1375
prediction standard deviation :	0.5654
number of conditions :	2

Details :

Name :

part_55

Subset :

Number of events to predict

: 88

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.0088

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0820, c:0.0434, d:0.0201, e:0.0384, f:0.0485, g:0.0327, h:0.0110, i:0.0749, j:0.0800, k:0.0054, l:0.0211, m:0.0761, n:0.0867, o:0.0164, p:0.0887, q:0.0665, r:0.0954, s:0.0334, t:0.0279

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 2 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 5605

Symboles (+number of occurence)

: a:217, b:44, c:23, d:11, e:21, f:26, g:17, h:1689, i:1709, j:43, k:2, l:11, m:42, n:47, o:8, p:48, q:1563, r:52, s:18, t:14

Patterns :

confidence :	91.11%
support :	40.09%
number of use :	97
prediction standard deviation :	0.8016
number of conditions :	4

Details :

Name :

part_56

Subset :

Number of events to predict

: 677

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.0677

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0914, c:0.0923, d:0.0799, e:0.0694, f:0.0531, g:0.0804, h:0.0040, i:0.0787, j:0.0194, k:0.0409, l:0.0672, m:0.0060, n:0.0079, o:0.0276, p:0.0817, q:0.0263, r:0.0594, s:0.0109, t:0.0964

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 2 , 2 , 1 }

Average of all coss-validations :

Total number of events

: 9684

Symboles (+number of occurence)

: a:710, b:79, c:80, d:1219, e:60, f:46, g:70, h:2, i:2440, j:16, k:35, l:58, m:4, n:2604, o:23, p:71, q:2023, r:51, s:9, t:84

Patterns :

confidence :	70.40%
support :	60.28%
number of use :	714
prediction standard deviation :	0.6690
number of conditions :	4

Details :

Name :

part_57

Subset :

Number of events to predict

: 7442

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.7442

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0415, c:0.0008, d:0.0588, e:0.0951, f:0.0115, g:0.0008, h:0.0224, i:0.0944, j:0.0197, k:0.0590, l:0.0099, m:0.0353, n:0.0301, o:0.0549, p:0.0012, q:0.0638, r:0.0852, s:0.0382, t:0.0878

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 16331

Symboles (+number of occurence)

: a:4960, b:2668, c:0, d:102, e:165, f:19, g:2176, h:38, i:5366, j:33, k:102, l:16, m:61, n:52, o:95, p:2, q:110, r:148, s:66, t:152

Patterns :

confidence :	96.97%
support :	90.08%
number of use :	4966
prediction standard deviation :	0.7526
number of conditions :	4

Details :

Name :

part_58

Subset :

Number of events to predict

: 5389

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.5389

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0344, c:0.0716, d:0.0748, e:0.0568, f:0.0216, g:0.0399, h:0.0336, i:0.0020, j:0.0431, k:0.0489, l:0.0176, m:0.0303, n:0.0373, o:0.0004, p:0.0171, q:0.0932, r:0.0430, s:0.0250, t:0.0409

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 2 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 19107

Symboles (+number of occurence)

: a:8171, b:56, c:117, d:122, e:93, f:35, g:450, h:54, i:2, j:70, k:79, l:28, m:49, n:61, o:0, p:28, q:4630, r:70, s:41, t:4951

Patterns :

confidence :	95.08%
support :	41.96%
number of use :	3839
prediction standard deviation :	0.4881
number of conditions :	4

Details :

Name :

part_59

Subset :

Number of events to predict

: 1908

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.1908

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0214, c:0.0117, d:0.0338, e:0.0952, f:0.0929, g:0.0305, h:0.0535, i:0.0545, j:0.0380, k:0.0019, l:0.0822, m:0.0004, n:0.0185, o:0.0880, p:0.0115, q:0.0443, r:0.0795, s:0.0838, t:0.0592

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 1 }

Average of all coss-validations :

Total number of events

: 6427

Symboles (+number of occurence)

: a:1621, b:24, c:13, d:39, e:111, f:1863, g:35, h:62, i:63, j:44, k:1, l:96, m:0, n:21, o:102, p:13, q:51, r:93, s:2106, t:69

Patterns :

confidence :	70.10%
support :	60.31%
number of use :	1630
prediction standard deviation :	0.7161
number of conditions :	2

Details :

Name :

part_60

Subset :

Number of events to predict

: 6114

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.6114

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0612, c:0.0710, d:0.0359, e:0.0147, f:0.0149, g:0.0313, h:0.0184, i:0.0849, j:0.0711, k:0.0561, l:0.0035, m:0.0165, n:0.0033, o:0.0212, p:0.0789, q:0.0789, r:0.0900, s:0.0045, t:0.0743

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 }

Average of all coss-validations :

Total number of events

: 11850

Symboles (+number of occurence)

: a:6298, b:105, c:121, d:61, e:24, f:25, g:53, h:31, i:4281, j:122, k:96, l:5, m:28, n:5, o:36, p:135, q:135, r:155, s:7, t:127

Patterns :

confidence :	95.06%
support :	60.97%
number of use :	4281
prediction standard deviation :	0.5313
number of conditions :	1

Details :

Name :

part_61

Subset :

Number of events to predict

: 8583

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.8583

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0019, c:0.0236, d:0.0559, e:0.0019, f:0.0877, g:0.0769, h:0.0747, i:0.0661, j:0.0498, k:0.0385, l:0.0901, m:0.0332, n:0.0914, o:0.0996, p:0.0210, q:0.0306, r:0.0885, s:0.0819, t:0.0532

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 22658

Symboles (+number of occurence)

: a:5567, b:3, c:43, d:104, e:3, f:163, g:4771, h:5890, i:123, j:92, k:4800, l:168, m:62, n:171, o:186, p:39, q:57, r:165, s:152, t:99

Patterns :

confidence :	83.88%
support :	60.82%
number of use :	5665
prediction standard deviation :	0.8314
number of conditions :	3

Details :

Name :

part_62

Subset :

Number of events to predict

: 2698

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.2698

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0280, c:0.0135, d:0.0790, e:0.0309, f:0.0238, g:0.0986, h:0.0317, i:0.0374, j:0.0037, k:0.0016, l:0.0643, m:0.0051, n:0.0663, o:0.0417, p:0.0937, q:0.0994, r:0.0070, s:0.0821, t:0.0954

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 10358

Symboles (+number of occurence)

: a:2130, b:35, c:17, d:1695, e:1322, f:30, g:126, h:40, i:47, j:4, k:1, l:82, m:6, n:2022, o:53, p:119, q:2394, r:8, s:105, t:122

Patterns :

confidence :	93.89%
support :	90.07%
number of use :	2132
prediction standard deviation :	0.6481
number of conditions :	4

Details :

Name :

part_63

Subset :

Number of events to predict

: 1622

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.1622

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0829, c:0.0752, d:0.0863, e:0.0834, f:0.0886, g:0.0253, h:0.0572, i:0.0175, j:0.0545, k:0.0488, l:0.0054, m:0.0081, n:0.0112, o:0.0705, p:0.0790, q:0.0010, r:0.0804, s:0.0643, t:0.0656

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 }

Average of all coss-validations :

Total number of events

: 6065

Symboles (+number of occurence)

: a:2136, b:92, c:84, d:96, e:93, f:1218, g:28, h:1760, i:19, j:60, k:54, l:5, m:9, n:12, o:78, p:88, q:0, r:89, s:71, t:73

Patterns :

confidence :	92.45%
support :	60.27%
number of use :	1431
prediction standard deviation :	0.4356
number of conditions :	2

Details :

Name :

part_64

Subset :

Number of events to predict

: 1864

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.1864

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

0.1000

Symboles noises ratio:

a:0.0000, b:0.0232, c:0.0171, d:0.0045, e:0.0537, f:0.0062, g:0.0263, h:0.0591, i:0.0566, j:0.0387, k:0.0395, l:0.0695, m:0.0183, n:0.0821, o:0.0688, p:0.0825, q:0.0854, r:0.0373, s:0.0968, t:0.0989

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 }

Average of all coss-validations :

Total number of events

: 7584

Symboles (+number of occurence)

: a:3539, b:27, c:19, d:5, e:62, f:7, g:30, h:69, i:66, j:45, k:1218, l:1834, m:21, n:96, o:80, p:96, q:99, r:43, s:113, t:115

Patterns :

confidence :	94.30%
support :	40.77%
number of use :	1604
prediction standard deviation :	0.8068
number of conditions :	2

Details :

Name :

part_65

Subset :

Number of events to predict

: 3456

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.3456

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

0.2000

Symboles noises ratio:

a:0.0000, b:0.0329, c:0.0511, d:0.1569, e:0.1860, f:0.1785, g:0.0589, h:0.0969, i:0.1943, j:0.0201, k:0.1270, l:0.1300, m:0.1373, n:0.0183, o:0.1718, p:0.1552, q:0.1987, r:0.1034, s:0.0594, t:0.1332

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 8244

Symboles (+number of occurence)

: a:2657, b:46, c:73, d:2660, e:266, f:255, g:83, h:138, i:278, j:28, k:181, l:185, m:196, n:26, o:245, p:222, q:284, r:147, s:84, t:190

Patterns :

confidence :	94.06%
support :	90.07%
number of use :	2660
prediction standard deviation :	0.5976
number of conditions :	1

Details :

Name :

part_66

Subset :

Number of events to predict

: 3033

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.3033

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.2000

Symboles noises ratio:

a:0.0000, b:0.1880, c:0.0748, d:0.1851, e:0.1721, f:0.0224, g:0.1529, h:0.1682, i:0.1417, j:0.0069, k:0.1063, l:0.1266, m:0.0884, n:0.0603, o:0.1352, p:0.1956, q:0.1104, r:0.0143, s:0.0138, t:0.1108

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 2 , 0 , 1 }

Average of all coss-validations :

Total number of events

: 18268

Symboles (+number of occurence)

: a:5135, b:249, c:99, d:246, e:229, f:29, g:203, h:3047, i:2510, j:8, k:141, l:168, m:117, n:80, o:3779, p:260, q:146, r:1658, s:17, t:147

Patterns :

confidence :	94.20%
support :	41.03%
number of use :	2347
prediction standard deviation :	0.6724
number of conditions :	4

Details :

Name :

part_67

Subset :

Number of events to predict

: 937

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.0937

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

0.2000

Symboles noises ratio:

a:0.0000, b:0.0157, c:0.1016, d:0.0985, e:0.0433, f:0.0723, g:0.0664, h:0.0586, i:0.1871, j:0.1931, k:0.0603, l:0.1406, m:0.1871, n:0.0648, o:0.1748, p:0.1147, q:0.1607, r:0.0898, s:0.0133, t:0.1038

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 1 }

Average of all coss-validations :

Total number of events

: 6423

Symboles (+number of occurence)

: a:927, b:14, c:2554, d:94, e:41, f:69, g:63, h:56, i:179, j:185, k:57, l:134, m:1363, n:61, o:167, p:109, q:154, r:85, s:12, t:99

Patterns :

confidence :	70.33%
support :	60.11%
number of use :	930
prediction standard deviation :	0.8451
number of conditions :	2

Details :

Name :

part_68

Subset :

Number of events to predict

: 3580

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.3580

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

0.2000

Symboles noises ratio:

a:0.0000, b:0.0999, c:0.0677, d:0.1941, e:0.1293, f:0.0917, g:0.1537, h:0.0554, i:0.0828, j:0.0942, k:0.1714, l:0.1753, m:0.1054, n:0.1305, o:0.0430, p:0.1253, q:0.1019, r:0.1821, s:0.0797, t:0.0828

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 11531

Symboles (+number of occurence)

: a:5947, b:144, c:97, d:2739, e:187, f:132, g:222, h:80, i:119, j:136, k:248, l:253, m:152, n:188, o:62, p:181, q:147, r:263, s:115, t:119

Patterns :

confidence :	93.23%
support :	41.30%
number of use :	2739
prediction standard deviation :	0.4572
number of conditions :	1

Details :

Name :

part_69

Subset :

Number of events to predict

: 437

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.0437

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

0.2000

Symboles noises ratio:

a:0.0000, b:0.1298, c:0.1003, d:0.1536, e:0.1481, f:0.0140, g:0.0223, h:0.0827, i:0.1954, j:0.1839, k:0.1779, l:0.1276, m:0.1262, n:0.1810, o:0.1549, p:0.0237, q:0.1759, r:0.0805, s:0.1118, t:0.1184

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 }

Average of all coss-validations :

Total number of events

: 4199

Symboles (+number of occurence)

: a:768, b:102, c:1282, d:121, e:524, f:10, g:17, h:65, i:155, j:145, k:141, l:101, m:100, n:144, o:122, p:18, q:139, r:63, s:88, t:94

Patterns :

confidence :	91.06%
support :	60.17%
number of use :	514
prediction standard deviation :	0.4900
number of conditions :	2

Details :

Name :

part_70

Subset :

Number of events to predict

: 2095

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.2095

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

0.2000

Symboles noises ratio:

a:0.0000, b:0.1248, c:0.1007, d:0.1456, e:0.1985, f:0.0709, g:0.0476, h:0.1207, i:0.1881, j:0.0042, k:0.1892, l:0.0252, m:0.1845, n:0.0518, o:0.0240, p:0.0295, q:0.0786, r:0.1381, s:0.0565, t:0.0080

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 8516

Symboles (+number of occurence)

: a:1169, b:150, c:121, d:175, e:1838, f:85, g:57, h:145, i:226, j:2003, k:228, l:30, m:222, n:62, o:28, p:1641, q:94, r:166, s:67, t:9

Patterns :

confidence :	72.64%
support :	90.03%
number of use :	1754
prediction standard deviation :	0.7455
number of conditions :	3

Details :

Name :

part_71

Subset :

Number of events to predict

: 3355

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.3355

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.5000

Symboles noises ratio:

a:0.0000, b:0.0894, c:0.2198, d:0.2064, e:0.3683, f:0.0267, g:0.2214, h:0.4692, i:0.1905, j:0.2540, k:0.0397, l:0.2068, m:0.4351, n:0.3824, o:0.0189, p:0.1415, q:0.3451, r:0.2197, s:0.2914, t:0.2696

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 2 , 2 , 0 }

Average of all coss-validations :

Total number of events

: 23767

Symboles (+number of occurence)

: a:3922, b:134, c:330, d:708, e:554, f:39, g:333, h:706, i:286, j:381, k:59, l:310, m:4797, n:575, o:4209, p:212, q:519, r:330, s:4958, t:405

Patterns :

confidence :	75.57%
support :	40.98%
number of use :	2682
prediction standard deviation :	0.5272
number of conditions :	4

Details :

Name :

part_72

Subset :

Number of events to predict

: 2975

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.2975

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

0.5000

Symboles noises ratio:

a:0.0000, b:0.0043, c:0.0084, d:0.2709, e:0.0621, f:0.4695, g:0.3652, h:0.3784, i:0.4810, j:0.2374, k:0.3137, l:0.4175, m:0.3153, n:0.4382, o:0.0528, p:0.1382, q:0.2560, r:0.4781, s:0.0246, t:0.2817

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 14238

Symboles (+number of occurence)

: a:5127, b:5, c:11, d:368, e:84, f:639, g:497, h:515, i:655, j:323, k:427, l:569, m:429, n:597, o:71, p:188, q:348, r:651, s:2351, t:383

Patterns :

confidence :	94.28%
support :	41.16%
number of use :	2351
prediction standard deviation :	0.7805
number of conditions :	1

Details :

Name :

part_73

Subset :

Number of events to predict

: 6906

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.6906

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.5000

Symboles noises ratio:

a:0.0000, b:0.3079, c:0.4711, d:0.1134, e:0.1888, f:0.1795, g:0.0516, h:0.3698, i:0.3619, j:0.0487, k:0.1616, l:0.0141, m:0.1854, n:0.2186, o:0.0520, p:0.3855, q:0.4668, r:0.3515, s:0.4406, t:0.4537

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 0 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 29879

Symboles (+number of occurence)

: a:9687, b:509, c:779, d:5379, e:312, f:296, g:85, h:611, i:598, j:80, k:2750, l:2075, m:306, n:361, o:85, p:637, q:772, r:581, s:3226, t:750

Patterns :

confidence :	96.79%
support :	42.23%
number of use :	4608
prediction standard deviation :	0.6610
number of conditions :	4

Details :

Name :

part_74

Subset :

Number of events to predict

: 1946

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.1946

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

0.5000

Symboles noises ratio:

a:0.0000, b:0.2681, c:0.2965, d:0.4358, e:0.1558, f:0.2927, g:0.4912, h:0.3011, i:0.3336, j:0.4118, k:0.2266, l:0.4847, m:0.3951, n:0.1881, o:0.4299, p:0.2575, q:0.2545, r:0.3970, s:0.1443, t:0.1680

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 }

Average of all coss-validations :

Total number of events

: 9960

Symboles (+number of occurence)

: a:1669, b:321, c:354, d:521, e:186, f:350, g:588, h:360, i:399, j:492, k:271, l:580, m:1670, n:225, o:514, p:308, q:304, r:475, s:172, t:201

Patterns :

confidence :	92.21%
support :	90.03%
number of use :	1670
prediction standard deviation :	0.4921
number of conditions :	1

Details :

Name :

part_75

Subset :

Number of events to predict

: 388

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.0388

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

0.5000

Symboles noises ratio:

a:0.0000, b:0.2168, c:0.1247, d:0.4373, e:0.0176, f:0.1676, g:0.4047, h:0.0130, i:0.2012, j:0.3107, k:0.1405, l:0.2198, m:0.2741, n:0.2769, o:0.4139, p:0.4400, q:0.1327, r:0.4889, s:0.2325, t:0.4643

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 1 }

Average of all coss-validations :

Total number of events

: 5876

Symboles (+number of occurence)

: a:409, b:155, c:89, d:1154, e:12, f:119, g:289, h:8, i:144, j:222, k:100, l:157, m:196, n:198, o:296, p:1386, q:94, r:350, s:166, t:332

Patterns :

confidence :	91.82%
support :	90.24%
number of use :	411
prediction standard deviation :	0.4617
number of conditions :	2

Details :

Name :

part_76

Subset :

Number of events to predict

: 8920

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.8920

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

0.5000

Symboles noises ratio:

a:0.0000, b:0.3970, c:0.1980, d:0.0625, e:0.0888, f:0.1589, g:0.2750, h:0.0921, i:0.0544, j:0.0159, k:0.4340, l:0.3260, m:0.0258, n:0.3306, o:0.3249, p:0.1498, q:0.4450, r:0.1816, s:0.0536, t:0.3684

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 32460

Symboles (+number of occurence)

: a:5754, b:753, c:375, d:6108, e:4551, f:301, g:522, h:174, i:103, j:29, k:823, l:618, m:5259, n:627, o:616, p:284, q:4419, r:344, s:101, t:699

Patterns :

confidence :	82.35%
support :	60.87%
number of use :	5858
prediction standard deviation :	0.6703
number of conditions :	4

Details :

Name :

part_77

Subset :

Number of events to predict

: 8883

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.8883

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

1.0000

Symboles noises ratio:

a:0.0000, b:0.2767, c:0.4495, d:0.0839, e:0.0659, f:0.4797, g:0.7745, h:0.0968, i:0.3118, j:0.5748, k:0.2737, l:0.9313, m:0.3508, n:0.9956, o:0.9875, p:0.6393, q:0.3236, r:0.7721, s:0.5543, t:0.7505

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 }

Average of all coss-validations :

Total number of events

: 30086

Symboles (+number of occurence)

: a:5929, b:551, c:896, d:167, e:131, f:956, g:1545, h:192, i:621, j:1146, k:545, l:1858, m:699, n:1986, o:1970, p:1275, q:645, r:1540, s:5937, t:1497

Patterns :

confidence :	97.00%
support :	90.09%
number of use :	5937
prediction standard deviation :	0.8207
number of conditions :	1

Details :

Name :

part_78

Subset :

Number of events to predict

: 15308

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 1.5308

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.5646, c:0.0792, d:0.7423, e:0.6266, f:0.7740, g:1.4785, h:1.4938, i:0.1050, j:1.3804, k:1.1288, l:1.0890, m:0.2408, n:1.3709, o:0.9200, p:1.3857, q:1.2194, r:0.4292, s:0.1139, t:0.7332

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 }

Average of all coss-validations :

Total number of events

: 68521

Symboles (+number of occurence)

: a:18590, b:1353, c:189, d:1780, e:1502, f:1855, g:3546, h:3582, i:251, j:8198, k:9687, l:2612, m:577, n:3287, o:2206, p:3323, q:2924, r:1029, s:272, t:1758

Patterns :

confidence :	98.07%
support :	44.71%
number of use :	9552
prediction standard deviation :	0.7551
number of conditions :	2

Details :

Name :

part_79

Subset :

Number of events to predict

: 8902

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.8902

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:1.4170, c:1.0034, d:0.5283, e:0.5757, f:1.4210, g:0.2898, h:0.2076, i:0.0074, j:0.6020, k:1.0119, l:0.0958, m:1.1077, n:0.3434, o:0.4104, p:1.2276, q:1.2537, r:1.2165, s:1.0337, t:1.2909

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 2 , 0 , 1 }

Average of all coss-validations :

Total number of events

: 57719

Symboles (+number of occurence)

: a:12019, b:2659, c:1883, d:991, e:1080, f:2667, g:6119, h:389, i:13, j:1130, k:1898, l:4629, m:2078, n:644, o:770, p:2303, q:4689, r:7397, s:1939, t:2422

Patterns :

confidence :	95.94%
support :	42.88%
number of use :	5828
prediction standard deviation :	0.5320
number of conditions :	4

Details :

Name :

part_80

Subset :

Number of events to predict

: 8772

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.8772

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.5387, c:0.7353, d:1.4042, e:0.6965, f:0.5895, g:0.4749, h:0.5680, i:0.2002, j:1.3808, k:1.3944, l:0.9463, m:0.6972, n:0.7017, o:0.9973, p:1.3716, q:1.0292, r:0.9111, s:0.3851, t:0.7219

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 41320

Symboles (+number of occurence)

: a:3783, b:3363, c:1318, d:2519, e:1249, f:2851, g:851, h:1019, i:359, j:2476, k:2501, l:1697, m:1250, n:1258, o:1788, p:2460, q:1846, r:1634, s:690, t:6408

Patterns :

confidence :	83.52%
support :	90.06%
number of use :	5680
prediction standard deviation :	0.6602
number of conditions :	3

Details :

Name :

part_81

Subset :

Number of events to predict

: 6107

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.6107

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.5212, c:0.2695, d:0.8194, e:0.8217, f:0.9554, g:1.4056, h:0.7626, i:1.0908, j:0.4150, k:1.4794, l:1.3564, m:1.0264, n:0.1495, o:1.4603, p:1.0417, q:0.9699, r:0.5463, s:1.4901, t:1.2988

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

100.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 }

Average of all coss-validations :

Total number of events

: 36897

Symboles (+number of occurence)

: a:2861, b:905, c:468, d:1424, e:1428, f:1660, g:2443, h:4292, i:1895, j:721, k:2571, l:2357, m:1784, n:259, o:2538, p:1810, q:1685, r:949, s:2590, t:2257

Patterns :

confidence :	73.65%
support :	90.00%
number of use :	4292
prediction standard deviation :	0.4965
number of conditions :	1

Details :

Name :

part_82

Subset :

Number of events to predict

: 28105

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 2.8105

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.5349, c:0.5638, d:0.3689, e:0.4964, f:0.7851, g:0.8254, h:0.6599, i:0.3992, j:1.3517, k:1.2627, l:0.6767, m:1.1085, n:0.8429, o:1.0286, p:0.8418, q:0.3355, r:1.4644, s:0.9816, t:0.9309

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 }

Average of all coss-validations :

Total number of events

: 78314

Symboles (+number of occurence)

: a:15732, b:16779, c:1730, d:1132, e:1523, f:2410, g:2533, h:2025, i:1225, j:4149, k:3876, l:2077, m:3402, n:2587, o:3157, p:2583, q:1029, r:4495, s:3013, t:2857

Patterns :

confidence :	91.74%
support :	62.34%
number of use :	16622
prediction standard deviation :	0.8364
number of conditions :	2

Details :

Name :

part_83

Subset :

Number of events to predict

: 6838

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.6838

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

1.5000

Symboles noises ratio:

a:0.0000, b:0.8675, c:1.3383, d:1.2445, e:0.4914, f:0.0039, g:1.0966, h:0.5822, i:1.0439, j:0.4939, k:1.3024, l:0.2203, m:0.7642, n:0.8807, o:1.4624, p:0.2510, q:0.2489, r:0.4886, s:1.2595, t:0.9377

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 38766

Symboles (+number of occurence)

: a:3065, b:1458, c:5199, d:2092, e:826, f:2536, g:1843, h:978, i:1754, j:830, k:2189, l:370, m:1284, n:1480, o:4967, p:422, q:2959, r:821, s:2117, t:1576

Patterns :

confidence :	78.57%
support :	90.02%
number of use :	4600
prediction standard deviation :	0.5787
number of conditions :	4

Details :

Name :

part_84

Subset :

Number of events to predict

: 16057

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 1.6057

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

2.0000

Symboles noises ratio:

a:0.0000, b:1.9472, c:1.1040, d:0.0091, e:0.0273, f:0.7475, g:0.9018, h:0.2807, i:0.2421, j:1.7067, k:0.1543, l:0.8093, m:1.6760, n:1.2507, o:1.0340, p:1.6263, q:1.8079, r:0.8495, s:0.4256, t:0.4067

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 0 }

Average of all coss-validations :

Total number of events

: 57262

Symboles (+number of occurence)

: a:9487, b:4449, c:4807, d:20, e:62, f:1707, g:2060, h:641, i:553, j:3899, k:352, l:1849, m:3829, n:2857, o:2362, p:10357, q:4130, r:1940, s:972, t:929

Patterns :

confidence :	88.41%
support :	61.50%
number of use :	9813
prediction standard deviation :	0.7333
number of conditions :	2

Details :

Name :

part_85

Subset :

Number of events to predict

: 8906

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.8906

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

2.0000

Symboles noises ratio:

a:0.0000, b:1.3988, c:0.6105, d:0.2952, e:1.1602, f:0.6069, g:0.8553, h:1.5590, i:0.5157, j:1.1864, k:1.9883, l:0.3723, m:0.1184, n:0.7712, o:1.7509, p:1.5535, q:1.7629, r:1.5351, s:1.3427, t:1.7527

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

100.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 1 }

Average of all coss-validations :

Total number of events

: 52661

Symboles (+number of occurence)

: a:3911, b:2686, c:6059, d:566, e:2228, f:1165, g:4924, h:2993, i:990, j:2278, k:3818, l:714, m:227, n:1481, o:3362, p:2983, q:3385, r:2948, s:2578, t:3365

Patterns :

confidence :	81.66%
support :	90.08%
number of use :	5873
prediction standard deviation :	0.6606
number of conditions :	2

Details :

Name :

part_86

Subset :

Number of events to predict

: 1406

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.1406

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

2.0000

Symboles noises ratio:

a:0.0000, b:1.3521, c:0.6039, d:0.1274, e:0.3724, f:0.6768, g:0.6126, h:0.4800, i:1.0090, j:0.2267, k:0.1968, l:1.2475, m:0.7348, n:0.6715, o:1.2524, p:1.3081, q:0.9820, r:1.8809, s:1.2169, t:1.2265

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 30337

Symboles (+number of occurence)

: a:2118, b:1664, c:742, d:156, e:458, f:832, g:753, h:590, i:4991, j:278, k:241, l:1535, m:2418, n:826, o:1541, p:1610, q:1208, r:2314, s:1497, t:4565

Patterns :

confidence :	77.45%
support :	40.60%
number of use :	1434
prediction standard deviation :	0.6866
number of conditions :	3

Details :

Name :

part_87

Subset :

Number of events to predict

: 7756

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.7756

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

2.0000

Symboles noises ratio:

a:0.0000, b:1.5188, c:1.3412, d:1.0091, e:1.9675, f:0.4350, g:1.8689, h:0.8730, i:0.7656, j:1.4299, k:1.1596, l:0.2504, m:0.1431, n:1.6817, o:1.3544, p:1.9525, q:0.5191, r:1.7850, s:1.7817, t:0.8326

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 }

Average of all coss-validations :

Total number of events

: 48291

Symboles (+number of occurence)

: a:3511, b:2873, c:2538, d:1909, e:3723, f:823, g:3536, h:1651, i:1448, j:2705, k:2194, l:473, m:270, n:3182, o:2563, p:3694, q:982, r:5270, s:3371, t:1575

Patterns :

confidence :	74.21%
support :	90.04%
number of use :	5270
prediction standard deviation :	0.4361
number of conditions :	1

Details :

Name :

part_88

Subset :

Number of events to predict

: 28745

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 2.8745

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:2.1921, c:2.8743, d:4.0574, e:4.8943, f:3.2683, g:2.6318, h:0.5825, i:1.9902, j:2.9687, k:4.8445, l:3.3962, m:0.2074, n:1.0912, o:2.2414, p:1.2014, q:1.8405, r:1.9999, s:0.0323, t:4.2413

Probability of type 0 noise :

33.33%

Probability of type 1 noise :

33.33%

Probability of type 2 noise :

33.33%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 }

Average of all coss-validations :

Total number of events

: 185112

Symboles (+number of occurence)

: a:29956, b:6946, c:9108, d:12857, e:15509, f:10357, g:8339, h:1845, i:6306, j:17041, k:15352, l:10762, m:657, n:3457, o:7102, p:3807, q:5832, r:6337, s:102, t:13440

Patterns :

confidence :	98.32%
support :	47.86%
number of use :	17041
prediction standard deviation :	0.6935
number of conditions :	1

Details :

Name :

part_89

Subset :

Number of events to predict

: 28802

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 2.8802

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:1.9783, c:0.2581, d:1.5844, e:2.6555, f:4.8113, g:2.2044, h:3.9709, i:1.3641, j:0.6933, k:4.5083, l:2.9625, m:3.6333, n:3.9937, o:3.9755, p:0.1889, q:3.6737, r:4.4708, s:4.0687, t:4.4713

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 }

Average of all coss-validations :

Total number of events

: 194889

Symboles (+number of occurence)

: a:15958, b:5860, c:764, d:4693, e:7866, f:14253, g:6530, h:11763, i:4041, j:8129, k:13355, l:17321, m:10763, n:11831, o:11777, p:559, q:10883, r:13244, s:12053, t:13246

Patterns :

confidence :	90.91%
support :	62.33%
number of use :	16863
prediction standard deviation :	0.6827
number of conditions :	2

Details :

Name :

part_90

Subset :

Number of events to predict

: 460

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.0460

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:3.6679, c:0.1375, d:3.7024, e:3.8137, f:2.6960, g:0.1483, h:3.3510, i:1.5497, j:4.0743, k:3.0596, l:3.3854, m:1.2191, n:2.7633, o:0.6188, p:3.5583, q:0.2662, r:3.8183, s:3.2947, t:0.0772

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 39473

Symboles (+number of occurence)

: a:510, b:2860, c:1275, d:2887, e:2974, f:3080, g:115, h:2613, i:1406, j:3177, k:2386, l:2640, m:950, n:2155, o:482, p:2775, q:207, r:2978, s:2569, t:1434

Patterns :

confidence :	91.17%
support :	90.00%
number of use :	510
prediction standard deviation :	0.4349
number of conditions :	4

Details :

Name :

part_91

Subset :

Number of events to predict

: 668

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.0668

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:1.7369, c:3.7153, d:3.9841, e:3.3716, f:1.3920, g:1.2353, h:0.8169, i:4.8240, j:4.3308, k:2.5626, l:3.7153, m:0.1579, n:2.8474, o:1.6679, p:1.7449, q:3.5783, r:1.3249, s:2.9057, t:3.4251

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 }

Average of all coss-validations :

Total number of events

: 36377

Symboles (+number of occurence)

: a:1161, b:1191, c:2550, d:2735, e:2314, f:955, g:847, h:560, i:3311, j:2972, k:1758, l:3574, m:107, n:1954, o:1144, p:1197, q:2456, r:909, s:2331, t:2351

Patterns :

confidence :	93.43%
support :	40.25%
number of use :	520
prediction standard deviation :	0.7324
number of conditions :	2

Details :

Name :

part_92

Subset :

Number of events to predict

: 31345

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 3.1345

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:0.5305, c:1.9756, d:2.9229, e:2.3139, f:4.0333, g:4.6212, h:3.6481, i:2.2860, j:4.7205, k:2.2918, l:2.7696, m:2.4124, n:4.6137, o:2.7794, p:4.1351, q:1.6497, r:1.6681, s:4.4421, t:4.2118

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

50.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 0 , 0 }

Average of all coss-validations :

Total number of events

: 226518

Symboles (+number of occurence)

: a:22713, b:1696, c:6318, d:9348, e:11641, f:17156, g:14780, h:11668, i:7311, j:15098, k:7329, l:18585, m:7715, n:14756, o:8889, p:13226, q:5276, r:5335, s:14207, t:13471

Patterns :

confidence :	88.24%
support :	45.87%
number of use :	18371
prediction standard deviation :	0.4948
number of conditions :	3

Details :

Name :

part_93

Subset :

Number of events to predict

: 13

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.0013

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 3

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:0.3556, c:0.1365, d:1.2871, e:1.1713, f:4.2154, g:0.5969, h:3.0987, i:2.7026, j:3.6151, k:3.1561, l:1.3571, m:1.8367, n:1.3874, o:2.0118, p:3.3517, q:4.0746, r:2.7210, s:0.5221, t:0.4800

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 0 , 1 }

Average of all coss-validations :

Total number of events

: 21950

Symboles (+number of occurence)

: a:28, b:179, c:68, d:1324, e:593, f:2666, g:302, h:1570, i:1369, j:1832, k:1600, l:687, m:930, n:2135, o:1019, p:1698, q:2065, r:1379, s:264, t:242

Patterns :

confidence :	88.74%
support :	40.37%
number of use :	13
prediction standard deviation :	0.7121
number of conditions :	3

Details :

Name :

part_94

Subset :

Number of events to predict

: 9858

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.9858

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:4.2594, c:3.8877, d:0.6001, e:3.1852, f:3.5603, g:3.9631, h:0.1280, i:4.1219, j:2.8099, k:1.0241, l:2.4470, m:3.4977, n:4.3209, o:1.9214, p:2.7920, q:4.6931, r:1.4424, s:3.4655, t:2.3433

Probability of type 0 noise :

50.00%

Probability of type 1 noise :

50.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 0 }

Average of all coss-validations :

Total number of events

: 123251

Symboles (+number of occurence)

: a:4314, b:8731, c:7969, d:6482, e:6529, f:7298, g:8124, h:262, i:8449, j:5759, k:2099, l:5016, m:7169, n:10907, o:3938, p:5723, q:9620, r:2956, s:7103, t:4803

Patterns :

confidence :	79.97%
support :	90.09%
number of use :	6479
prediction standard deviation :	0.5521
number of conditions :	2

Details :

Name :

part_95

Subset :

Number of events to predict

: 510

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 0.0510

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:1.2312, c:0.7422, d:0.9983, e:2.0316, f:0.6639, g:2.0076, h:4.4701, i:0.2471, j:4.8533, k:1.0388, l:2.1342, m:3.0310, n:3.8941, o:1.0653, p:2.9920, q:4.0968, r:0.4649, s:2.4002, t:1.2242

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 , 2 , 2 }

Average of all coss-validations :

Total number of events

: 33268

Symboles (+number of occurence)

: a:436, b:1716, c:1507, d:680, e:3532, f:451, g:1367, h:3046, i:168, j:3307, k:707, l:1454, m:2065, n:4492, o:725, p:2039, q:2791, r:316, s:1635, t:834

Patterns :

confidence :	94.17%
support :	90.03%
number of use :	436
prediction standard deviation :	0.5596
number of conditions :	4

Details :

Name :

part_96

Subset :

Number of events to predict

: 49621

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 4.9621

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 1

Noise:

Maximum ratio number of noise events/number of events to predict :

5.0000

Symboles noises ratio:

a:0.0000, b:1.4345, c:1.1502, d:4.9144, e:0.8561, f:4.6315, g:3.9793, h:0.9952, i:3.5373, j:3.1211, k:2.7740, l:3.8108, m:1.5043, n:2.3249, o:1.6060, p:2.4802, q:4.4802, r:0.2129, s:4.4464, t:0.8561

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 }

Average of all coss-validations :

Total number of events

: 239373

Symboles (+number of occurence)

: a:32094, b:5770, c:4627, d:19770, e:3443, f:28333, g:16008, h:4003, i:14230, j:12556, k:11159, l:15330, m:6051, n:9352, o:6460, p:9977, q:18023, r:856, s:17887, t:3444

Patterns :

confidence :	94.27%
support :	48.63%
number of use :	28333
prediction standard deviation :	0.8237
number of conditions :	1

Details :

Name :

part_97

Subset :

Number of events to predict

: 44015

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 4.4015

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 4

Noise:

Maximum ratio number of noise events/number of events to predict :

10.0000

Symboles noises ratio:

a:0.0000, b:5.9686, c:3.9501, d:0.8435, e:1.5502, f:6.7088, g:0.0108, h:6.5478, i:2.1158, j:0.8977, k:8.7398, l:8.5454, m:2.3769, n:1.8481, o:5.8797, p:3.4319, q:3.5851, r:3.0236, s:0.7413, t:5.1270

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

100.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 1 , 1 , 1 , 1 }

Average of all coss-validations :

Total number of events

: 342030

Symboles (+number of occurence)

: a:40167, b:21943, c:25492, d:3100, e:5699, f:24664, g:39, h:31868, i:17203, j:12675, k:32131, l:31416, m:8738, n:6794, o:21616, p:12617, q:13180, r:11115, s:2725, t:18848

Patterns :

confidence :	98.96%
support :	51.06%
number of use :	25184
prediction standard deviation :	0.8239
number of conditions :	4

Details :

Name :

part_98

Subset :

Number of events to predict

: 43287

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 4.3287

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

10.0000

Symboles noises ratio:

a:0.0000, b:9.1738, c:3.9615, d:9.2501, e:1.6599, f:5.8403, g:9.8404, h:7.6171, i:9.9158, j:5.4803, k:6.9504, l:8.3259, m:7.7266, n:2.4131, o:2.3420, p:6.5796, q:2.8399, r:1.3825, s:1.8669, t:3.6580

Probability of type 0 noise :

0.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

100.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 2 , 2 }

Average of all coss-validations :

Total number of events

: 432487

Symboles (+number of occurence)

: a:24654, b:33470, c:25085, d:33748, e:6055, f:21308, g:35902, h:27790, i:36175, j:19994, k:25358, l:30376, m:28190, n:16275, o:8544, p:24005, q:10360, r:5043, s:6810, t:13345

Patterns :

confidence :	98.37%
support :	90.33%
number of use :	24792
prediction standard deviation :	0.5242
number of conditions :	2

Details :

Name :

part_99

Subset :

Number of events to predict

: 89408

Time range of dataset

: [ 0 , 10000 ]

Density of events to predict

: 8.9408

Number of different symboles

: 20

Patterns :

Number of patterns

: 1

Maximum future of prediction

: 10.0000

Temporal precision

: 3.0000

Maximum condition window distance

: 20.0000

Maximum condition window size

: 10.0000

Number of conditions

: 2

Noise:

Maximum ratio number of noise events/number of events to predict :

10.0000

Symboles noises ratio:

a:0.0000, b:8.0282, c:9.1968, d:7.7531, e:9.2305, f:6.6541, g:2.6029, h:2.4108, i:4.9860, j:1.6704, k:9.6364, l:3.6858, m:3.6388, n:2.0314, o:7.6048, p:3.3686, q:8.0070, r:8.7342, s:5.6253, t:3.9761

Probability of type 0 noise :

100.00%

Probability of type 1 noise :

0.00%

Probability of type 2 noise :

0.00%

Type 1 and 2 noise probability parameter :

30.00%

Rule random signature :

{ 0 , 0 }

Average of all coss-validations :

Total number of events

: 628577

Symboles (+number of occurence)

: a:48829, b:41806, c:47890, d:40374, e:48066, f:34650, g:13554, h:12553, i:25963, j:8698, k:50180, l:19192, m:18948, n:10578, o:39600, p:17541, q:49467, r:45482, s:34501, t:20705

Patterns :

confidence :	98.71%
support :	90.64%
number of use :	49411
prediction standard deviation :	0.4824
number of conditions :	2

Details :