471765
2
Joaquin Vanschoren
4350
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
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0.0
1172
C
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1172
N
0.5
1172
P
0.1
1172
M
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1172
E
0.001
1172
model
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1172
seed
1
1172
weka
weka_3.7.12
779
fri_c1_500_25
https://www.openml.org/data/download/53313/fri_c1_500_25.arff
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description
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model_serialized
https://api.openml.org/data/download/1661227/WekaSerialized_weka.classifiers.functions.LibSVM7008727132408877075.model
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1661226
predictions
https://api.openml.org/data/download/1661226/weka_generated_predictions7175124373394943205.arff
area_under_roc_curve
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average_cost
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kappa
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kb_relative_information_score
1802.746147
mean_absolute_error
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mean_prior_absolute_error
0.497697
number_of_instances
5000 [2330,2670]
os_information
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precision
0.682453 [0.658818,0.703078]
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root_mean_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
0.679487 [0.679487,0.679487]
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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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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area_under_roc_curve
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kb_relative_information_score
21.753554
kb_relative_information_score
19.740253
kb_relative_information_score
17.923328
kb_relative_information_score
25.780154
kb_relative_information_score
23.766854
kb_relative_information_score
13.700352
kb_relative_information_score
13.700352
kb_relative_information_score
19.740253
kb_relative_information_score
13.700352
kb_relative_information_score
17.726953
kb_relative_information_score
19.740253
kb_relative_information_score
17.726953
kb_relative_information_score
19.740253
kb_relative_information_score
25.780154
kb_relative_information_score
19.740253
kb_relative_information_score
27.793454
kb_relative_information_score
5.647151
kb_relative_information_score
17.726953
kb_relative_information_score
23.766854
kb_relative_information_score
17.726953
kb_relative_information_score
13.700352
kb_relative_information_score
23.766854
kb_relative_information_score
15.713653
kb_relative_information_score
11.687052
kb_relative_information_score
7.660452
kb_relative_information_score
17.726953
kb_relative_information_score
15.713653
kb_relative_information_score
23.766854
kb_relative_information_score
23.766854
kb_relative_information_score
21.753554
kb_relative_information_score
27.793454
kb_relative_information_score
19.740253
kb_relative_information_score
11.687052
kb_relative_information_score
29.806755
kb_relative_information_score
27.793454
kb_relative_information_score
29.806755
kb_relative_information_score
13.700352
kb_relative_information_score
17.726953
kb_relative_information_score
23.766854
kb_relative_information_score
25.780154
kb_relative_information_score
15.713653
kb_relative_information_score
11.687052
kb_relative_information_score
13.700352
kb_relative_information_score
23.766854
kb_relative_information_score
23.766854
kb_relative_information_score
17.923328
kb_relative_information_score
11.883427
kb_relative_information_score
11.883427
kb_relative_information_score
19.936628
kb_relative_information_score
19.740253
kb_relative_information_score
11.883427
kb_relative_information_score
23.963229
kb_relative_information_score
17.726953
kb_relative_information_score
13.896727
kb_relative_information_score
-0.196375
kb_relative_information_score
11.883427
kb_relative_information_score
23.963229
kb_relative_information_score
15.910027
kb_relative_information_score
15.910027
kb_relative_information_score
21.753554
kb_relative_information_score
13.896727
kb_relative_information_score
15.910027
kb_relative_information_score
19.740253
kb_relative_information_score
3.830226
kb_relative_information_score
13.896727
kb_relative_information_score
17.923328
kb_relative_information_score
19.936628
kb_relative_information_score
17.923328
kb_relative_information_score
17.923328
kb_relative_information_score
17.726953
kb_relative_information_score
15.910027
kb_relative_information_score
21.949928
kb_relative_information_score
19.740253
kb_relative_information_score
13.896727
kb_relative_information_score
13.896727
mean_absolute_error
0.4
mean_absolute_error
0.22
mean_absolute_error
0.3
mean_absolute_error
0.34
mean_absolute_error
0.34
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.34
mean_absolute_error
0.38
mean_absolute_error
0.26
mean_absolute_error
0.34
mean_absolute_error
0.24
mean_absolute_error
0.26
mean_absolute_error
0.22
mean_absolute_error
0.44
mean_absolute_error
0.36
mean_absolute_error
0.4
mean_absolute_error
0.28
mean_absolute_error
0.3
mean_absolute_error
0.34
mean_absolute_error
0.26
mean_absolute_error
0.26
mean_absolute_error
0.3
mean_absolute_error
0.34
mean_absolute_error
0.46
mean_absolute_error
0.28
mean_absolute_error
0.3
mean_absolute_error
0.32
mean_absolute_error
0.24
mean_absolute_error
0.26
mean_absolute_error
0.36
mean_absolute_error
0.36
mean_absolute_error
0.3
mean_absolute_error
0.36
mean_absolute_error
0.32
mean_absolute_error
0.3
mean_absolute_error
0.32
mean_absolute_error
0.3
mean_absolute_error
0.24
mean_absolute_error
0.3
mean_absolute_error
0.22
mean_absolute_error
0.44
mean_absolute_error
0.32
mean_absolute_error
0.26
mean_absolute_error
0.32
mean_absolute_error
0.36
mean_absolute_error
0.26
mean_absolute_error
0.34
mean_absolute_error
0.38
mean_absolute_error
0.42
mean_absolute_error
0.32
mean_absolute_error
0.34
mean_absolute_error
0.26
mean_absolute_error
0.26
mean_absolute_error
0.28
mean_absolute_error
0.22
mean_absolute_error
0.3
mean_absolute_error
0.38
mean_absolute_error
0.2
mean_absolute_error
0.22
mean_absolute_error
0.2
mean_absolute_error
0.36
mean_absolute_error
0.32
mean_absolute_error
0.26
mean_absolute_error
0.24
mean_absolute_error
0.34
mean_absolute_error
0.38
mean_absolute_error
0.36
mean_absolute_error
0.26
mean_absolute_error
0.26
mean_absolute_error
0.32
mean_absolute_error
0.38
mean_absolute_error
0.38
mean_absolute_error
0.3
mean_absolute_error
0.3
mean_absolute_error
0.38
mean_absolute_error
0.26
mean_absolute_error
0.32
mean_absolute_error
0.36
mean_absolute_error
0.5
mean_absolute_error
0.38
mean_absolute_error
0.26
mean_absolute_error
0.34
mean_absolute_error
0.34
mean_absolute_error
0.28
mean_absolute_error
0.36
mean_absolute_error
0.34
mean_absolute_error
0.3
mean_absolute_error
0.46
mean_absolute_error
0.36
mean_absolute_error
0.32
mean_absolute_error
0.3
mean_absolute_error
0.32
mean_absolute_error
0.32
mean_absolute_error
0.32
mean_absolute_error
0.34
mean_absolute_error
0.28
mean_absolute_error
0.3
mean_absolute_error
0.36
mean_absolute_error
0.36
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
precision
0.6032 [0.56,0.64]
precision
0.77974 [0.772727,0.785714]
precision
0.712987 [0.642857,0.772727]
precision
0.659156 [0.636364,0.678571]
precision
0.66936 [0.62069,0.714286]
precision
0.699351 [0.681818,0.714286]
precision
0.701282 [0.666667,0.730769]
precision
0.65971 [0.652174,0.666667]
precision
0.62141 [0.583333,0.653846]
precision
0.739545 [0.727273,0.75]
precision
0.693125 [0.59375,0.777778]
precision
0.763803 [0.789474,0.741935]
precision
0.739545 [0.727273,0.75]
precision
0.77974 [0.772727,0.785714]
precision
0.558961 [0.545455,0.571429]
precision
0.655369 [0.586207,0.714286]
precision
0.6 [0.565217,0.62963]
precision
0.72 [0.708333,0.730769]
precision
0.712987 [0.642857,0.772727]
precision
0.661346 [0.625,0.692308]
precision
0.741218 [0.708333,0.769231]
precision
0.741218 [0.708333,0.769231]
precision
0.699351 [0.681818,0.714286]
precision
0.659156 [0.636364,0.678571]
precision
0.537754 [0.529412,0.545455]
precision
0.719606 [0.714286,0.724138]
precision
0.705769 [0.653846,0.75]
precision
0.682179 [0.653846,0.708333]
precision
0.760131 [0.761905,0.758621]
precision
0.741 [0.75,0.733333]
precision
0.638555 [0.619048,0.655172]
precision
0.64 [0.608696,0.666667]
precision
0.705769 [0.653846,0.75]
precision
0.64 [0.608696,0.666667]
precision
0.68876 [0.62963,0.73913]
precision
0.699351 [0.681818,0.714286]
precision
0.6832 [0.64,0.72]
precision
0.7 [0.7,0.7]
precision
0.780099 [0.689655,0.857143]
precision
0.701282 [0.666667,0.730769]
precision
0.786154 [0.730769,0.833333]
precision
0.586381 [0.515152,0.647059]
precision
0.684706 [0.705882,0.666667]
precision
0.741218 [0.708333,0.769231]
precision
0.68 [0.652174,0.703704]
precision
0.638913 [0.631579,0.645161]
precision
0.754926 [0.8125,0.705882]
precision
0.661042 [0.666667,0.65625]
precision
0.62141 [0.583333,0.653846]
precision
0.577 [0.55,0.6]
precision
0.67908 [0.666667,0.689655]
precision
0.659 [0.65,0.666667]
precision
0.741218 [0.708333,0.769231]
precision
0.739545 [0.727273,0.75]
precision
0.719606 [0.714286,0.724138]
precision
0.77974 [0.772727,0.785714]
precision
0.703472 [0.722222,0.6875]
precision
0.625385 [0.576923,0.666667]
precision
0.8 [0.782609,0.814815]
precision
0.782 [0.8,0.766667]
precision
0.800657 [0.809524,0.793103]
precision
0.648245 [0.592593,0.695652]
precision
0.6832 [0.64,0.72]
precision
0.765667 [0.666667,0.85]
precision
0.7632 [0.72,0.8]
precision
0.661346 [0.625,0.692308]
precision
0.618611 [0.611111,0.625]
precision
0.638913 [0.631579,0.645161]
precision
0.741218 [0.708333,0.769231]
precision
0.739545 [0.727273,0.75]
precision
0.68 [0.666667,0.692308]
precision
0.619581 [0.608696,0.62963]
precision
0.643422 [0.575758,0.705882]
precision
0.705942 [0.736842,0.677419]
precision
0.699351 [0.681818,0.714286]
precision
0.619581 [0.608696,0.62963]
precision
0.744734 [0.703704,0.782609]
precision
0.696946 [0.62069,0.761905]
precision
0.641333 [0.65,0.633333]
precision
0.499195 [0.478261,0.518519]
precision
0.62574 [0.647059,0.606061]
precision
0.744734 [0.703704,0.782609]
precision
0.669733 [0.705882,0.636364]
precision
0.663905 [0.684211,0.645161]
precision
0.722173 [0.736842,0.709677]
precision
0.64 [0.625,0.653846]
precision
0.677351 [0.612903,0.736842]
precision
0.710294 [0.75,0.676471]
precision
0.537793 [0.526316,0.548387]
precision
0.652 [0.6,0.7]
precision
0.68 [0.666667,0.692308]
precision
0.701478 [0.714286,0.689655]
precision
0.682179 [0.653846,0.708333]
precision
0.686753 [0.642857,0.727273]
precision
0.6832 [0.64,0.72]
precision
0.663961 [0.62963,0.695652]
precision
0.722308 [0.692308,0.75]
precision
0.699351 [0.681818,0.714286]
precision
0.642051 [0.615385,0.666667]
precision
0.645974 [0.607143,0.681818]
predictive_accuracy
0.6
predictive_accuracy
0.78
predictive_accuracy
0.7
predictive_accuracy
0.66
predictive_accuracy
0.66
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.66
predictive_accuracy
0.62
predictive_accuracy
0.74
predictive_accuracy
0.66
predictive_accuracy
0.76
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.56
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.72
predictive_accuracy
0.7
predictive_accuracy
0.66
predictive_accuracy
0.74
predictive_accuracy
0.74
predictive_accuracy
0.7
predictive_accuracy
0.66
predictive_accuracy
0.54
predictive_accuracy
0.72
predictive_accuracy
0.7
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.74
predictive_accuracy
0.64
predictive_accuracy
0.64
predictive_accuracy
0.7
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.7
predictive_accuracy
0.68
predictive_accuracy
0.7
predictive_accuracy
0.76
predictive_accuracy
0.7
predictive_accuracy
0.78
predictive_accuracy
0.56
predictive_accuracy
0.68
predictive_accuracy
0.74
predictive_accuracy
0.68
predictive_accuracy
0.64
predictive_accuracy
0.74
predictive_accuracy
0.66
predictive_accuracy
0.62
predictive_accuracy
0.58
predictive_accuracy
0.68
predictive_accuracy
0.66
predictive_accuracy
0.74
predictive_accuracy
0.74
predictive_accuracy
0.72
predictive_accuracy
0.78
predictive_accuracy
0.7
predictive_accuracy
0.62
predictive_accuracy
0.8
predictive_accuracy
0.78
predictive_accuracy
0.8
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.74
predictive_accuracy
0.76
predictive_accuracy
0.66
predictive_accuracy
0.62
predictive_accuracy
0.64
predictive_accuracy
0.74
predictive_accuracy
0.74
predictive_accuracy
0.68
predictive_accuracy
0.62
predictive_accuracy
0.62
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.62
predictive_accuracy
0.74
predictive_accuracy
0.68
predictive_accuracy
0.64
predictive_accuracy
0.5
predictive_accuracy
0.62
predictive_accuracy
0.74
predictive_accuracy
0.66
predictive_accuracy
0.66
predictive_accuracy
0.72
predictive_accuracy
0.64
predictive_accuracy
0.66
predictive_accuracy
0.7
predictive_accuracy
0.54
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.7
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.66
predictive_accuracy
0.72
predictive_accuracy
0.7
predictive_accuracy
0.64
predictive_accuracy
0.64
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
recall
0.6 [0.608696,0.592593]
recall
0.78 [0.73913,0.814815]
recall
0.7 [0.782609,0.62963]
recall
0.66 [0.608696,0.703704]
recall
0.66 [0.75,0.576923]
recall
0.7 [0.652174,0.740741]
recall
0.7 [0.695652,0.703704]
recall
0.66 [0.625,0.692308]
recall
0.62 [0.608696,0.62963]
recall
0.74 [0.695652,0.777778]
recall
0.66 [0.826087,0.518519]
recall
0.76 [0.652174,0.851852]
recall
0.74 [0.695652,0.777778]
recall
0.78 [0.73913,0.814815]
recall
0.56 [0.5,0.615385]
recall
0.64 [0.73913,0.555556]
recall
0.6 [0.565217,0.62963]
recall
0.72 [0.708333,0.730769]
recall
0.7 [0.782609,0.62963]
recall
0.66 [0.652174,0.666667]
recall
0.74 [0.73913,0.740741]
recall
0.74 [0.73913,0.740741]
recall
0.7 [0.652174,0.740741]
recall
0.66 [0.608696,0.703704]
recall
0.54 [0.375,0.692308]
recall
0.72 [0.652174,0.777778]
recall
0.7 [0.73913,0.666667]
recall
0.68 [0.708333,0.653846]
recall
0.76 [0.695652,0.814815]
recall
0.74 [0.652174,0.814815]
recall
0.64 [0.565217,0.703704]
recall
0.64 [0.608696,0.666667]
recall
0.7 [0.73913,0.666667]
recall
0.64 [0.608696,0.666667]
recall
0.68 [0.73913,0.62963]
recall
0.7 [0.652174,0.740741]
recall
0.68 [0.695652,0.666667]
recall
0.7 [0.608696,0.777778]
recall
0.76 [0.869565,0.666667]
recall
0.7 [0.695652,0.703704]
recall
0.78 [0.826087,0.740741]
recall
0.56 [0.73913,0.407407]
recall
0.68 [0.521739,0.814815]
recall
0.74 [0.73913,0.740741]
recall
0.68 [0.652174,0.703704]
recall
0.64 [0.521739,0.740741]
recall
0.74 [0.565217,0.888889]
recall
0.66 [0.521739,0.777778]
recall
0.62 [0.608696,0.62963]
recall
0.58 [0.478261,0.666667]
recall
0.68 [0.608696,0.740741]
recall
0.66 [0.565217,0.740741]
recall
0.74 [0.73913,0.740741]
recall
0.74 [0.695652,0.777778]
recall
0.72 [0.652174,0.777778]
recall
0.78 [0.73913,0.814815]
recall
0.7 [0.565217,0.814815]
recall
0.62 [0.652174,0.592593]
recall
0.8 [0.782609,0.814815]
recall
0.78 [0.695652,0.851852]
recall
0.8 [0.73913,0.851852]
recall
0.64 [0.695652,0.592593]
recall
0.68 [0.695652,0.666667]
recall
0.74 [0.869565,0.62963]
recall
0.76 [0.782609,0.740741]
recall
0.66 [0.652174,0.666667]
recall
0.62 [0.478261,0.740741]
recall
0.64 [0.521739,0.740741]
recall
0.74 [0.73913,0.740741]
recall
0.74 [0.695652,0.777778]
recall
0.68 [0.666667,0.692308]
recall
0.62 [0.583333,0.653846]
recall
0.62 [0.791667,0.461538]
recall
0.7 [0.583333,0.807692]
recall
0.7 [0.652174,0.740741]
recall
0.62 [0.583333,0.653846]
recall
0.74 [0.791667,0.692308]
recall
0.68 [0.782609,0.592593]
recall
0.64 [0.541667,0.730769]
recall
0.5 [0.458333,0.538462]
recall
0.62 [0.458333,0.769231]
recall
0.74 [0.791667,0.692308]
recall
0.66 [0.5,0.807692]
recall
0.66 [0.541667,0.769231]
recall
0.72 [0.608696,0.814815]
recall
0.64 [0.625,0.653846]
recall
0.66 [0.791667,0.538462]
recall
0.7 [0.521739,0.851852]
recall
0.54 [0.416667,0.653846]
recall
0.64 [0.75,0.538462]
recall
0.68 [0.666667,0.692308]
recall
0.7 [0.625,0.769231]
recall
0.68 [0.708333,0.653846]
recall
0.68 [0.75,0.615385]
recall
0.68 [0.695652,0.666667]
recall
0.66 [0.708333,0.615385]
recall
0.72 [0.75,0.692308]
recall
0.7 [0.652174,0.740741]
recall
0.64 [0.666667,0.615385]
recall
0.64 [0.708333,0.576923]
relative_absolute_error
0.804358
relative_absolute_error
0.442397
relative_absolute_error
0.603269
relative_absolute_error
0.683705
relative_absolute_error
0.681847
relative_absolute_error
0.603269
relative_absolute_error
0.603269
relative_absolute_error
0.681847
relative_absolute_error
0.76414
relative_absolute_error
0.522833
relative_absolute_error
0.683705
relative_absolute_error
0.482615
relative_absolute_error
0.522833
relative_absolute_error
0.442397
relative_absolute_error
0.882391
relative_absolute_error
0.723922
relative_absolute_error
0.804358
relative_absolute_error
0.561521
relative_absolute_error
0.603269
relative_absolute_error
0.683705
relative_absolute_error
0.522833
relative_absolute_error
0.522833
relative_absolute_error
0.603269
relative_absolute_error
0.683705
relative_absolute_error
0.922499
relative_absolute_error
0.563051
relative_absolute_error
0.603269
relative_absolute_error
0.641739
relative_absolute_error
0.482615
relative_absolute_error
0.522833
relative_absolute_error
0.723922
relative_absolute_error
0.723922
relative_absolute_error
0.603269
relative_absolute_error
0.723922
relative_absolute_error
0.643487
relative_absolute_error
0.603269
relative_absolute_error
0.643487
relative_absolute_error
0.603269
relative_absolute_error
0.482615
relative_absolute_error
0.603269
relative_absolute_error
0.442397
relative_absolute_error
0.884794
relative_absolute_error
0.643487
relative_absolute_error
0.522833
relative_absolute_error
0.643487
relative_absolute_error
0.723922
relative_absolute_error
0.522833
relative_absolute_error
0.683705
relative_absolute_error
0.76414
relative_absolute_error
0.844576
relative_absolute_error
0.643487
relative_absolute_error
0.683705
relative_absolute_error
0.522833
relative_absolute_error
0.522833
relative_absolute_error
0.563051
relative_absolute_error
0.442397
relative_absolute_error
0.603269
relative_absolute_error
0.76414
relative_absolute_error
0.402179
relative_absolute_error
0.442397
relative_absolute_error
0.402179
relative_absolute_error
0.723922
relative_absolute_error
0.643487
relative_absolute_error
0.522833
relative_absolute_error
0.482615
relative_absolute_error
0.683705
relative_absolute_error
0.76414
relative_absolute_error
0.723922
relative_absolute_error
0.522833
relative_absolute_error
0.522833
relative_absolute_error
0.641739
relative_absolute_error
0.762065
relative_absolute_error
0.762065
relative_absolute_error
0.60163
relative_absolute_error
0.603269
relative_absolute_error
0.762065
relative_absolute_error
0.521413
relative_absolute_error
0.643487
relative_absolute_error
0.721956
relative_absolute_error
1.002717
relative_absolute_error
0.762065
relative_absolute_error
0.521413
relative_absolute_error
0.681847
relative_absolute_error
0.681847
relative_absolute_error
0.563051
relative_absolute_error
0.721956
relative_absolute_error
0.681847
relative_absolute_error
0.603269
relative_absolute_error
0.922499
relative_absolute_error
0.721956
relative_absolute_error
0.641739
relative_absolute_error
0.60163
relative_absolute_error
0.641739
relative_absolute_error
0.641739
relative_absolute_error
0.643487
relative_absolute_error
0.681847
relative_absolute_error
0.561521
relative_absolute_error
0.603269
relative_absolute_error
0.721956
relative_absolute_error
0.721956
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_squared_error
0.632456
root_mean_squared_error
0.469042
root_mean_squared_error
0.547723
root_mean_squared_error
0.583095
root_mean_squared_error
0.583095
root_mean_squared_error
0.547723
root_mean_squared_error
0.547723
root_mean_squared_error
0.583095
root_mean_squared_error
0.616441
root_mean_squared_error
0.509902
root_mean_squared_error
0.583095
root_mean_squared_error
0.489898
root_mean_squared_error
0.509902
root_mean_squared_error
0.469042
root_mean_squared_error
0.663325
root_mean_squared_error
0.6
root_mean_squared_error
0.632456
root_mean_squared_error
0.52915
root_mean_squared_error
0.547723
root_mean_squared_error
0.583095
root_mean_squared_error
0.509902
root_mean_squared_error
0.509902
root_mean_squared_error
0.547723
root_mean_squared_error
0.583095
root_mean_squared_error
0.678233
root_mean_squared_error
0.52915
root_mean_squared_error
0.547723
root_mean_squared_error
0.565685
root_mean_squared_error
0.489898
root_mean_squared_error
0.509902
root_mean_squared_error
0.6
root_mean_squared_error
0.6
root_mean_squared_error
0.547723
root_mean_squared_error
0.6
root_mean_squared_error
0.565685
root_mean_squared_error
0.547723
root_mean_squared_error
0.565685
root_mean_squared_error
0.547723
root_mean_squared_error
0.489898
root_mean_squared_error
0.547723
root_mean_squared_error
0.469042
root_mean_squared_error
0.663325
root_mean_squared_error
0.565685
root_mean_squared_error
0.509902
root_mean_squared_error
0.565685
root_mean_squared_error
0.6
root_mean_squared_error
0.509902
root_mean_squared_error
0.583095
root_mean_squared_error
0.616441
root_mean_squared_error
0.648074
root_mean_squared_error
0.565685
root_mean_squared_error
0.583095
root_mean_squared_error
0.509902
root_mean_squared_error
0.509902
root_mean_squared_error
0.52915
root_mean_squared_error
0.469042
root_mean_squared_error
0.547723
root_mean_squared_error
0.616441
root_mean_squared_error
0.447214
root_mean_squared_error
0.469042
root_mean_squared_error
0.447214
root_mean_squared_error
0.6
root_mean_squared_error
0.565685
root_mean_squared_error
0.509902
root_mean_squared_error
0.489898
root_mean_squared_error
0.583095
root_mean_squared_error
0.616441
root_mean_squared_error
0.6
root_mean_squared_error
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