396122
2
Joaquin Vanschoren
4312
Supervised Classification
predictive_accuracy
1172
weka.LibSVM(2)
1924
weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1
S
0
1172
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1172
D
3
1172
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0.0
1172
R
0.0
1172
C
1.0
1172
N
0.5
1172
P
0.1
1172
M
40.0
1172
E
0.001
1172
model
/Users/joa/Downloads/weka-3-7-12
1172
seed
1
1172
weka
weka_3.7.12
741
rmftsa_sleepdata
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description
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model_serialized
https://api.openml.org/data/download/1385369/WekaSerialized_weka.classifiers.functions.LibSVM6432138675197532683.model
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predictions
https://api.openml.org/data/download/1385368/weka_generated_predictions1586454964960330512.arff
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average_cost
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kappa
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kb_relative_information_score
4649.723203
mean_absolute_error
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mean_prior_absolute_error
0.499983
number_of_instances
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os_information
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precision
0.728341 [0.744826,0.712048]
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root_relative_squared_error
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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34.99329
kb_relative_information_score
24.992796
kb_relative_information_score
48.993981
kb_relative_information_score
48.993981
kb_relative_information_score
38.993487
kb_relative_information_score
52.994178
kb_relative_information_score
38.993487
kb_relative_information_score
34.99329
kb_relative_information_score
52.994178
kb_relative_information_score
56.994375
kb_relative_information_score
60.994573
kb_relative_information_score
44.993783
kb_relative_information_score
50.994079
kb_relative_information_score
34.99329
kb_relative_information_score
42.993684
kb_relative_information_score
62.994671
kb_relative_information_score
58.002862
kb_relative_information_score
42.002072
kb_relative_information_score
50.002467
kb_relative_information_score
35.984902
kb_relative_information_score
51.985691
kb_relative_information_score
54.002664
kb_relative_information_score
45.985395
kb_relative_information_score
41.985198
kb_relative_information_score
48.002368
kb_relative_information_score
46.00227
kb_relative_information_score
46.00227
kb_relative_information_score
50.002467
kb_relative_information_score
34.001678
kb_relative_information_score
56.002763
kb_relative_information_score
46.00227
kb_relative_information_score
46.00227
kb_relative_information_score
42.002072
kb_relative_information_score
42.002072
kb_relative_information_score
56.002763
kb_relative_information_score
48.002368
kb_relative_information_score
40.001974
kb_relative_information_score
56.002763
kb_relative_information_score
62.003059
kb_relative_information_score
26.001283
kb_relative_information_score
46.00227
kb_relative_information_score
68.003355
kb_relative_information_score
38.001875
kb_relative_information_score
38.001875
kb_relative_information_score
46.00227
kb_relative_information_score
44.002171
kb_relative_information_score
46.00227
kb_relative_information_score
22.001085
kb_relative_information_score
56.002763
kb_relative_information_score
46.00227
kb_relative_information_score
42.002072
kb_relative_information_score
34.001678
kb_relative_information_score
58.002862
kb_relative_information_score
54.002664
kb_relative_information_score
34.001678
kb_relative_information_score
38.001875
kb_relative_information_score
40.001974
kb_relative_information_score
66.003256
kb_relative_information_score
34.001678
kb_relative_information_score
58.002862
kb_relative_information_score
36.001776
kb_relative_information_score
50.002467
kb_relative_information_score
54.002664
kb_relative_information_score
56.002763
kb_relative_information_score
50.002467
kb_relative_information_score
42.002072
kb_relative_information_score
45.985395
kb_relative_information_score
53.98579
kb_relative_information_score
51.985691
kb_relative_information_score
34.001678
kb_relative_information_score
56.002763
kb_relative_information_score
47.985494
kb_relative_information_score
36.001776
kb_relative_information_score
54.002664
kb_relative_information_score
49.985593
kb_relative_information_score
35.984902
mean_absolute_error
0.271845
mean_absolute_error
0.320388
mean_absolute_error
0.31068
mean_absolute_error
0.271845
mean_absolute_error
0.271845
mean_absolute_error
0.271845
mean_absolute_error
0.291262
mean_absolute_error
0.271845
mean_absolute_error
0.262136
mean_absolute_error
0.320388
mean_absolute_error
0.203883
mean_absolute_error
0.252427
mean_absolute_error
0.213592
mean_absolute_error
0.407767
mean_absolute_error
0.271845
mean_absolute_error
0.330097
mean_absolute_error
0.281553
mean_absolute_error
0.213592
mean_absolute_error
0.271845
mean_absolute_error
0.213592
mean_absolute_error
0.271845
mean_absolute_error
0.242718
mean_absolute_error
0.291262
mean_absolute_error
0.174757
mean_absolute_error
0.330097
mean_absolute_error
0.378641
mean_absolute_error
0.262136
mean_absolute_error
0.262136
mean_absolute_error
0.31068
mean_absolute_error
0.242718
mean_absolute_error
0.31068
mean_absolute_error
0.330097
mean_absolute_error
0.242718
mean_absolute_error
0.223301
mean_absolute_error
0.203883
mean_absolute_error
0.281553
mean_absolute_error
0.252427
mean_absolute_error
0.330097
mean_absolute_error
0.291262
mean_absolute_error
0.194175
mean_absolute_error
0.215686
mean_absolute_error
0.294118
mean_absolute_error
0.254902
mean_absolute_error
0.323529
mean_absolute_error
0.245098
mean_absolute_error
0.235294
mean_absolute_error
0.27451
mean_absolute_error
0.294118
mean_absolute_error
0.264706
mean_absolute_error
0.27451
mean_absolute_error
0.27451
mean_absolute_error
0.254902
mean_absolute_error
0.333333
mean_absolute_error
0.22549
mean_absolute_error
0.27451
mean_absolute_error
0.27451
mean_absolute_error
0.294118
mean_absolute_error
0.294118
mean_absolute_error
0.22549
mean_absolute_error
0.264706
mean_absolute_error
0.303922
mean_absolute_error
0.22549
mean_absolute_error
0.196078
mean_absolute_error
0.372549
mean_absolute_error
0.27451
mean_absolute_error
0.166667
mean_absolute_error
0.313725
mean_absolute_error
0.313725
mean_absolute_error
0.27451
mean_absolute_error
0.284314
mean_absolute_error
0.27451
mean_absolute_error
0.392157
mean_absolute_error
0.22549
mean_absolute_error
0.27451
mean_absolute_error
0.294118
mean_absolute_error
0.333333
mean_absolute_error
0.215686
mean_absolute_error
0.235294
mean_absolute_error
0.333333
mean_absolute_error
0.313725
mean_absolute_error
0.303922
mean_absolute_error
0.176471
mean_absolute_error
0.333333
mean_absolute_error
0.215686
mean_absolute_error
0.323529
mean_absolute_error
0.254902
mean_absolute_error
0.235294
mean_absolute_error
0.22549
mean_absolute_error
0.254902
mean_absolute_error
0.294118
mean_absolute_error
0.27451
mean_absolute_error
0.235294
mean_absolute_error
0.245098
mean_absolute_error
0.333333
mean_absolute_error
0.22549
mean_absolute_error
0.264706
mean_absolute_error
0.323529
mean_absolute_error
0.235294
mean_absolute_error
0.254902
mean_absolute_error
0.323529
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
103 [51,52]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
103 [51,52]
number_of_instances
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number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
precision
0.73099 [0.755556,0.706897]
precision
0.687537 [0.725,0.650794]
precision
0.699496 [0.74359,0.65625]
precision
0.740665 [0.794872,0.6875]
precision
0.728602 [0.716981,0.74]
precision
0.728398 [0.734694,0.722222]
precision
0.72008 [0.769231,0.671875]
precision
0.734199 [0.694915,0.772727]
precision
0.738526 [0.75,0.727273]
precision
0.681622 [0.660714,0.702128]
precision
0.798745 [0.826087,0.77193]
precision
0.748886 [0.765957,0.732143]
precision
0.787987 [0.808511,0.767857]
precision
0.592233 [0.588235,0.596154]
precision
0.73099 [0.755556,0.706897]
precision
0.670035 [0.673469,0.666667]
precision
0.720261 [0.73913,0.701754]
precision
0.808783 [0.891892,0.727273]
precision
0.729336 [0.744681,0.714286]
precision
0.78676 [0.795918,0.777778]
precision
0.729336 [0.744681,0.714286]
precision
0.759503 [0.782609,0.736842]
precision
0.708943 [0.714286,0.703704]
precision
0.825243 [0.823529,0.826923]
precision
0.671867 [0.688889,0.655172]
precision
0.622155 [0.630435,0.614035]
precision
0.738526 [0.75,0.727273]
precision
0.738526 [0.75,0.727273]
precision
0.691575 [0.711111,0.672414]
precision
0.757333 [0.76,0.754717]
precision
0.689489 [0.693878,0.685185]
precision
0.669903 [0.666667,0.673077]
precision
0.757424 [0.75,0.764706]
precision
0.779124 [0.804348,0.754386]
precision
0.80512 [0.857143,0.754098]
precision
0.719031 [0.729167,0.709091]
precision
0.748886 [0.765957,0.732143]
precision
0.670685 [0.680851,0.660714]
precision
0.730211 [0.8,0.661765]
precision
0.813111 [0.860465,0.766667]
precision
0.784314 [0.784314,0.784314]
precision
0.722661 [0.783784,0.661538]
precision
0.745476 [0.755102,0.735849]
precision
0.67756 [0.688889,0.666667]
precision
0.755094 [0.745098,0.764706]
precision
0.77529 [0.829268,0.721311]
precision
0.726464 [0.73913,0.714286]
precision
0.705973 [0.708333,0.703704]
precision
0.735385 [0.730769,0.74]
precision
0.726886 [0.744681,0.709091]
precision
0.726886 [0.744681,0.709091]
precision
0.748538 [0.777778,0.719298]
precision
0.666923 [0.673469,0.660377]
precision
0.774615 [0.78,0.769231]
precision
0.725838 [0.716981,0.734694]
precision
0.734506 [0.780488,0.688525]
precision
0.707157 [0.723404,0.690909]
precision
0.711076 [0.744186,0.677966]
precision
0.774615 [0.78,0.769231]
precision
0.742857 [0.785714,0.7]
precision
0.699843 [0.727273,0.672414]
precision
0.774615 [0.769231,0.78]
precision
0.808187 [0.844444,0.77193]
precision
0.62824 [0.638298,0.618182]
precision
0.725838 [0.734694,0.716981]
precision
0.834491 [0.854167,0.814815]
precision
0.686275 [0.686275,0.686275]
precision
0.688889 [0.711111,0.666667]
precision
0.725838 [0.716981,0.734694]
precision
0.716435 [0.729167,0.703704]
precision
0.734506 [0.780488,0.688525]
precision
0.610564 [0.627907,0.59322]
precision
0.774615 [0.769231,0.78]
precision
0.734506 [0.780488,0.688525]
precision
0.717949 [0.769231,0.666667]
precision
0.666667 [0.666667,0.666667]
precision
0.786074 [0.808511,0.763636]
precision
0.77529 [0.829268,0.721311]
precision
0.670871 [0.697674,0.644068]
precision
0.690974 [0.72093,0.661017]
precision
0.696154 [0.692308,0.7]
precision
0.823529 [0.823529,0.823529]
precision
0.666667 [0.666667,0.666667]
precision
0.784752 [0.795918,0.773585]
precision
0.679859 [0.655172,0.704545]
precision
0.745476 [0.755102,0.735849]
precision
0.766344 [0.787234,0.745455]
precision
0.775463 [0.791667,0.759259]
precision
0.748538 [0.719298,0.777778]
precision
0.706199 [0.714286,0.698113]
precision
0.72549 [0.72,0.730769]
precision
0.765294 [0.75,0.78]
precision
0.777792 [0.857143,0.701493]
precision
0.673331 [0.707317,0.639344]
precision
0.777174 [0.804348,0.75]
precision
0.735806 [0.744681,0.727273]
precision
0.682143 [0.714286,0.65]
precision
0.766344 [0.745455,0.787234]
precision
0.753953 [0.8,0.709677]
precision
0.67756 [0.688889,0.666667]
predictive_accuracy
0.728155
predictive_accuracy
0.679612
predictive_accuracy
0.68932
predictive_accuracy
0.728155
predictive_accuracy
0.728155
predictive_accuracy
0.728155
predictive_accuracy
0.708738
predictive_accuracy
0.728155
predictive_accuracy
0.737864
predictive_accuracy
0.679612
predictive_accuracy
0.796117
predictive_accuracy
0.747573
predictive_accuracy
0.786408
predictive_accuracy
0.592233
predictive_accuracy
0.728155
predictive_accuracy
0.669903
predictive_accuracy
0.718447
predictive_accuracy
0.786408
predictive_accuracy
0.728155
predictive_accuracy
0.786408
predictive_accuracy
0.728155
predictive_accuracy
0.757282
predictive_accuracy
0.708738
predictive_accuracy
0.825243
predictive_accuracy
0.669903
predictive_accuracy
0.621359
predictive_accuracy
0.737864
predictive_accuracy
0.737864
predictive_accuracy
0.68932
predictive_accuracy
0.757282
predictive_accuracy
0.68932
predictive_accuracy
0.669903
predictive_accuracy
0.757282
predictive_accuracy
0.776699
predictive_accuracy
0.796117
predictive_accuracy
0.718447
predictive_accuracy
0.747573
predictive_accuracy
0.669903
predictive_accuracy
0.708738
predictive_accuracy
0.805825
predictive_accuracy
0.784314
predictive_accuracy
0.705882
predictive_accuracy
0.745098
predictive_accuracy
0.676471
predictive_accuracy
0.754902
predictive_accuracy
0.764706
predictive_accuracy
0.72549
predictive_accuracy
0.705882
predictive_accuracy
0.735294
predictive_accuracy
0.72549
predictive_accuracy
0.72549
predictive_accuracy
0.745098
predictive_accuracy
0.666667
predictive_accuracy
0.77451
predictive_accuracy
0.72549
predictive_accuracy
0.72549
predictive_accuracy
0.705882
predictive_accuracy
0.705882
predictive_accuracy
0.77451
predictive_accuracy
0.735294
predictive_accuracy
0.696078
predictive_accuracy
0.77451
predictive_accuracy
0.803922
predictive_accuracy
0.627451
predictive_accuracy
0.72549
predictive_accuracy
0.833333
predictive_accuracy
0.686275
predictive_accuracy
0.686275
predictive_accuracy
0.72549
predictive_accuracy
0.715686
predictive_accuracy
0.72549
predictive_accuracy
0.607843
predictive_accuracy
0.77451
predictive_accuracy
0.72549
predictive_accuracy
0.705882
predictive_accuracy
0.666667
predictive_accuracy
0.784314
predictive_accuracy
0.764706
predictive_accuracy
0.666667
predictive_accuracy
0.686275
predictive_accuracy
0.696078
predictive_accuracy
0.823529
predictive_accuracy
0.666667
predictive_accuracy
0.784314
predictive_accuracy
0.676471
predictive_accuracy
0.745098
predictive_accuracy
0.764706
predictive_accuracy
0.77451
predictive_accuracy
0.745098
predictive_accuracy
0.705882
predictive_accuracy
0.72549
predictive_accuracy
0.764706
predictive_accuracy
0.754902
predictive_accuracy
0.666667
predictive_accuracy
0.77451
predictive_accuracy
0.735294
predictive_accuracy
0.676471
predictive_accuracy
0.764706
predictive_accuracy
0.745098
predictive_accuracy
0.676471
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
recall
0.728155 [0.666667,0.788462]
recall
0.679612 [0.568627,0.788462]
recall
0.68932 [0.568627,0.807692]
recall
0.728155 [0.607843,0.846154]
recall
0.728155 [0.745098,0.711538]
recall
0.728155 [0.705882,0.75]
recall
0.708738 [0.588235,0.826923]
recall
0.728155 [0.803922,0.653846]
recall
0.737864 [0.705882,0.769231]
recall
0.679612 [0.72549,0.634615]
recall
0.796117 [0.745098,0.846154]
recall
0.747573 [0.705882,0.788462]
recall
0.786408 [0.745098,0.826923]
recall
0.592233 [0.588235,0.596154]
recall
0.728155 [0.666667,0.788462]
recall
0.669903 [0.647059,0.692308]
recall
0.718447 [0.666667,0.769231]
recall
0.786408 [0.647059,0.923077]
recall
0.728155 [0.686275,0.769231]
recall
0.786408 [0.764706,0.807692]
recall
0.728155 [0.686275,0.769231]
recall
0.757282 [0.705882,0.807692]
recall
0.708738 [0.686275,0.730769]
recall
0.825243 [0.823529,0.826923]
recall
0.669903 [0.607843,0.730769]
recall
0.621359 [0.568627,0.673077]
recall
0.737864 [0.705882,0.769231]
recall
0.737864 [0.705882,0.769231]
recall
0.68932 [0.627451,0.75]
recall
0.757282 [0.745098,0.769231]
recall
0.68932 [0.666667,0.711538]
recall
0.669903 [0.666667,0.673077]
recall
0.757282 [0.764706,0.75]
recall
0.776699 [0.72549,0.826923]
recall
0.796117 [0.705882,0.884615]
recall
0.718447 [0.686275,0.75]
recall
0.747573 [0.705882,0.788462]
recall
0.669903 [0.627451,0.711538]
recall
0.708738 [0.54902,0.865385]
recall
0.805825 [0.72549,0.884615]
recall
0.784314 [0.784314,0.784314]
recall
0.705882 [0.568627,0.843137]
recall
0.745098 [0.72549,0.764706]
recall
0.676471 [0.62,0.730769]
recall
0.754902 [0.76,0.75]
recall
0.764706 [0.666667,0.862745]
recall
0.72549 [0.68,0.769231]
recall
0.705882 [0.68,0.730769]
recall
0.735294 [0.745098,0.72549]
recall
0.72549 [0.686275,0.764706]
recall
0.72549 [0.686275,0.764706]
recall
0.745098 [0.686275,0.803922]
recall
0.666667 [0.647059,0.686275]
recall
0.77451 [0.764706,0.784314]
recall
0.72549 [0.745098,0.705882]
recall
0.72549 [0.627451,0.823529]
recall
0.705882 [0.666667,0.745098]
recall
0.705882 [0.627451,0.784314]
recall
0.77451 [0.764706,0.784314]
recall
0.735294 [0.647059,0.823529]
recall
0.696078 [0.627451,0.764706]
recall
0.77451 [0.784314,0.764706]
recall
0.803922 [0.745098,0.862745]
recall
0.627451 [0.588235,0.666667]
recall
0.72549 [0.705882,0.745098]
recall
0.833333 [0.803922,0.862745]
recall
0.686275 [0.686275,0.686275]
recall
0.686275 [0.627451,0.745098]
recall
0.72549 [0.745098,0.705882]
recall
0.715686 [0.686275,0.745098]
recall
0.72549 [0.627451,0.823529]
recall
0.607843 [0.529412,0.686275]
recall
0.77451 [0.784314,0.764706]
recall
0.72549 [0.627451,0.823529]
recall
0.705882 [0.588235,0.823529]
recall
0.666667 [0.666667,0.666667]
recall
0.784314 [0.745098,0.823529]
recall
0.764706 [0.666667,0.862745]
recall
0.666667 [0.588235,0.745098]
recall
0.686275 [0.607843,0.764706]
recall
0.696078 [0.705882,0.686275]
recall
0.823529 [0.823529,0.823529]
recall
0.666667 [0.666667,0.666667]
recall
0.784314 [0.764706,0.803922]
recall
0.676471 [0.745098,0.607843]
recall
0.745098 [0.72549,0.764706]
recall
0.764706 [0.72549,0.803922]
recall
0.77451 [0.745098,0.803922]
recall
0.745098 [0.803922,0.686275]
recall
0.705882 [0.686275,0.72549]
recall
0.72549 [0.72,0.730769]
recall
0.764706 [0.78,0.75]
recall
0.754902 [0.6,0.903846]
recall
0.666667 [0.568627,0.764706]
recall
0.77451 [0.72549,0.823529]
recall
0.735294 [0.7,0.769231]
recall
0.676471 [0.588235,0.764706]
recall
0.764706 [0.803922,0.72549]
recall
0.745098 [0.64,0.846154]
recall
0.676471 [0.62,0.730769]
relative_absolute_error
0.54372
relative_absolute_error
0.640813
relative_absolute_error
0.621395
relative_absolute_error
0.54372
relative_absolute_error
0.54372
relative_absolute_error
0.54372
relative_absolute_error
0.582557
relative_absolute_error
0.54372
relative_absolute_error
0.524302
relative_absolute_error
0.640813
relative_absolute_error
0.40779
relative_absolute_error
0.504883
relative_absolute_error
0.427209
relative_absolute_error
0.81558
relative_absolute_error
0.54372
relative_absolute_error
0.660232
relative_absolute_error
0.563139
relative_absolute_error
0.427209
relative_absolute_error
0.54372
relative_absolute_error
0.427209
relative_absolute_error
0.54372
relative_absolute_error
0.485464
relative_absolute_error
0.582557
relative_absolute_error
0.349534
relative_absolute_error
0.660232
relative_absolute_error
0.757325
relative_absolute_error
0.524302
relative_absolute_error
0.524302
relative_absolute_error
0.621395
relative_absolute_error
0.485464
relative_absolute_error
0.621395
relative_absolute_error
0.660232
relative_absolute_error
0.485464
relative_absolute_error
0.446627
relative_absolute_error
0.40779
relative_absolute_error
0.563139
relative_absolute_error
0.504883
relative_absolute_error
0.660232
relative_absolute_error
0.582557
relative_absolute_error
0.388372
relative_absolute_error
0.431373
relative_absolute_error
0.588235
relative_absolute_error
0.509804
relative_absolute_error
0.647133
relative_absolute_error
0.490252
relative_absolute_error
0.470588
relative_absolute_error
0.549083
relative_absolute_error
0.588303
relative_absolute_error
0.529412
relative_absolute_error
0.54902
relative_absolute_error
0.54902
relative_absolute_error
0.509804
relative_absolute_error
0.666667
relative_absolute_error
0.45098
relative_absolute_error
0.54902
relative_absolute_error
0.54902
relative_absolute_error
0.588235
relative_absolute_error
0.588235
relative_absolute_error
0.45098
relative_absolute_error
0.529412
relative_absolute_error
0.607843
relative_absolute_error
0.45098
relative_absolute_error
0.392157
relative_absolute_error
0.745098
relative_absolute_error
0.54902
relative_absolute_error
0.333333
relative_absolute_error
0.627451
relative_absolute_error
0.627451
relative_absolute_error
0.54902
relative_absolute_error
0.568627
relative_absolute_error
0.54902
relative_absolute_error
0.784314
relative_absolute_error
0.45098
relative_absolute_error
0.54902
relative_absolute_error
0.588235
relative_absolute_error
0.666667
relative_absolute_error
0.431373
relative_absolute_error
0.470588
relative_absolute_error
0.666667
relative_absolute_error
0.627451
relative_absolute_error
0.607843
relative_absolute_error
0.352941
relative_absolute_error
0.666667
relative_absolute_error
0.431373
relative_absolute_error
0.647059
relative_absolute_error
0.509804
relative_absolute_error
0.470588
relative_absolute_error
0.45098
relative_absolute_error
0.509804
relative_absolute_error
0.588235
relative_absolute_error
0.549083
relative_absolute_error
0.470642
relative_absolute_error
0.490252
relative_absolute_error
0.666667
relative_absolute_error
0.45098
relative_absolute_error
0.529472
relative_absolute_error
0.647059
relative_absolute_error
0.470588
relative_absolute_error
0.509862
relative_absolute_error
0.647133
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_squared_error
0.521387
root_mean_squared_error
0.566029
root_mean_squared_error
0.557386
root_mean_squared_error
0.521387
root_mean_squared_error
0.521387
root_mean_squared_error
0.521387
root_mean_squared_error
0.539687
root_mean_squared_error
0.521387
root_mean_squared_error
0.511992
root_mean_squared_error
0.566029
root_mean_squared_error
0.451535
root_mean_squared_error
0.502421
root_mean_squared_error
0.46216
root_mean_squared_error
0.638566
root_mean_squared_error
0.521387
root_mean_squared_error
0.574541
root_mean_squared_error
0.530616
root_mean_squared_error
0.46216
root_mean_squared_error
0.521387
root_mean_squared_error
0.46216
root_mean_squared_error
0.521387
root_mean_squared_error
0.492665
root_mean_squared_error
0.539687
root_mean_squared_error
0.41804
root_mean_squared_error
0.574541
root_mean_squared_error
0.615338
root_mean_squared_error
0.511992
root_mean_squared_error
0.511992
root_mean_squared_error
0.557386
root_mean_squared_error
0.492665
root_mean_squared_error
0.557386
root_mean_squared_error
0.574541
root_mean_squared_error
0.492665
root_mean_squared_error
0.472547
root_mean_squared_error
0.451535
root_mean_squared_error
0.530616
root_mean_squared_error
0.502421
root_mean_squared_error
0.574541
root_mean_squared_error
0.539687
root_mean_squared_error
0.440653
root_mean_squared_error
0.46442
root_mean_squared_error
0.542326
root_mean_squared_error
0.504878
root_mean_squared_error
0.568796
root_mean_squared_error
0.495074
root_mean_squared_error
0.485071
root_mean_squared_error
0.523937
root_mean_squared_error
0.542326
root_mean_squared_error
0.514496
root_mean_squared_error
0.523937
root_mean_squared_error
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