379958
2
Joaquin Vanschoren
4340
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
K
2
1172
D
3
1172
G
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
769
fri_c1_250_50
https://www.openml.org/data/download/53303/fri_c1_250_50.arff
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description
https://api.openml.org/data/download/1322642/weka_generated_run935067169889353970.xml
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1322644
model_serialized
https://api.openml.org/data/download/1322644/WekaSerialized_weka.classifiers.functions.LibSVM3302818963495872888.model
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1322643
predictions
https://api.openml.org/data/download/1322643/weka_generated_predictions3717135337693869214.arff
area_under_roc_curve
0.6391 [0.6391,0.6391]
average_cost
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f_measure
0.64491 [0.580707,0.697866]
kappa
0.281825
kb_relative_information_score
720.535444
mean_absolute_error
0.3512
mean_prior_absolute_error
0.495429
number_of_instances
2500 [1130,1370]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
precision
0.646844 [0.630705,0.660156]
predictive_accuracy
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prior_entropy
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0.6488 [0.538053,0.740146]
relative_absolute_error
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0.497691
root_mean_squared_error
0.592621
root_relative_squared_error
1.190742
scimark_benchmark
1325.846813 [815.065770478047, 974.6863985124262, 526.3440412149175, 1069.1027117058654, 3244.0351447999233]
total_cost
0
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100
usercpu_time_millis_testing
50
usercpu_time_millis_training
50
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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
0.340909 [0.340909,0.340909]
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
0.75641 [0.75641,0.75641]
area_under_roc_curve
0.836538 [0.836538,0.836538]
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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f_measure
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f_measure
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kb_relative_information_score
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kb_relative_information_score
-1.151938
kb_relative_information_score
0.597033
kb_relative_information_score
8.980182
kb_relative_information_score
6.953758
kb_relative_information_score
2.623457
kb_relative_information_score
10.729153
kb_relative_information_score
14.782002
kb_relative_information_score
0.597033
kb_relative_information_score
4.649881
kb_relative_information_score
4.649881
kb_relative_information_score
2.623457
kb_relative_information_score
12.755578
kb_relative_information_score
8.702729
kb_relative_information_score
8.702729
kb_relative_information_score
10.729153
kb_relative_information_score
0.597033
kb_relative_information_score
6.676305
kb_relative_information_score
8.702729
kb_relative_information_score
-1.429391
kb_relative_information_score
10.729153
kb_relative_information_score
10.729153
kb_relative_information_score
8.702729
kb_relative_information_score
4.649881
kb_relative_information_score
6.676305
kb_relative_information_score
14.782002
kb_relative_information_score
4.649881
kb_relative_information_score
0.597033
kb_relative_information_score
12.755578
kb_relative_information_score
2.623457
kb_relative_information_score
10.729153
kb_relative_information_score
2.623457
kb_relative_information_score
14.782002
kb_relative_information_score
14.782002
kb_relative_information_score
10.729153
kb_relative_information_score
8.702729
kb_relative_information_score
12.755578
kb_relative_information_score
10.729153
kb_relative_information_score
4.649881
kb_relative_information_score
-1.429391
kb_relative_information_score
12.755578
kb_relative_information_score
8.702729
kb_relative_information_score
-3.455815
kb_relative_information_score
6.676305
kb_relative_information_score
-3.455815
kb_relative_information_score
6.953758
kb_relative_information_score
11.006606
kb_relative_information_score
11.006606
kb_relative_information_score
6.953758
kb_relative_information_score
17.085878
kb_relative_information_score
2.623457
kb_relative_information_score
2.623457
kb_relative_information_score
2.90091
kb_relative_information_score
-1.429391
kb_relative_information_score
12.755578
kb_relative_information_score
4.927334
kb_relative_information_score
2.90091
kb_relative_information_score
2.90091
kb_relative_information_score
6.953758
kb_relative_information_score
4.927334
kb_relative_information_score
8.702729
kb_relative_information_score
8.702729
kb_relative_information_score
0.874486
kb_relative_information_score
-7.508663
kb_relative_information_score
2.623457
kb_relative_information_score
13.03303
kb_relative_information_score
11.006606
kb_relative_information_score
13.03303
kb_relative_information_score
17.085878
kb_relative_information_score
2.90091
kb_relative_information_score
10.729153
kb_relative_information_score
6.676305
kb_relative_information_score
4.927334
kb_relative_information_score
4.649881
kb_relative_information_score
6.676305
mean_absolute_error
0.28
mean_absolute_error
0.44
mean_absolute_error
0.32
mean_absolute_error
0.4
mean_absolute_error
0.4
mean_absolute_error
0.24
mean_absolute_error
0.36
mean_absolute_error
0.36
mean_absolute_error
0.2
mean_absolute_error
0.36
mean_absolute_error
0.32
mean_absolute_error
0.24
mean_absolute_error
0.44
mean_absolute_error
0.32
mean_absolute_error
0.2
mean_absolute_error
0.24
mean_absolute_error
0.24
mean_absolute_error
0.24
mean_absolute_error
0.36
mean_absolute_error
0.28
mean_absolute_error
0.44
mean_absolute_error
0.32
mean_absolute_error
0.32
mean_absolute_error
0.32
mean_absolute_error
0.24
mean_absolute_error
0.56
mean_absolute_error
0.52
mean_absolute_error
0.48
mean_absolute_error
0.32
mean_absolute_error
0.36
mean_absolute_error
0.44
mean_absolute_error
0.28
mean_absolute_error
0.2
mean_absolute_error
0.48
mean_absolute_error
0.4
mean_absolute_error
0.4
mean_absolute_error
0.44
mean_absolute_error
0.24
mean_absolute_error
0.32
mean_absolute_error
0.32
mean_absolute_error
0.28
mean_absolute_error
0.48
mean_absolute_error
0.36
mean_absolute_error
0.32
mean_absolute_error
0.52
mean_absolute_error
0.28
mean_absolute_error
0.28
mean_absolute_error
0.32
mean_absolute_error
0.4
mean_absolute_error
0.36
mean_absolute_error
0.2
mean_absolute_error
0.4
mean_absolute_error
0.48
mean_absolute_error
0.24
mean_absolute_error
0.44
mean_absolute_error
0.28
mean_absolute_error
0.44
mean_absolute_error
0.2
mean_absolute_error
0.2
mean_absolute_error
0.28
mean_absolute_error
0.32
mean_absolute_error
0.24
mean_absolute_error
0.28
mean_absolute_error
0.4
mean_absolute_error
0.52
mean_absolute_error
0.24
mean_absolute_error
0.32
mean_absolute_error
0.56
mean_absolute_error
0.36
mean_absolute_error
0.56
mean_absolute_error
0.36
mean_absolute_error
0.28
mean_absolute_error
0.28
mean_absolute_error
0.36
mean_absolute_error
0.16
mean_absolute_error
0.44
mean_absolute_error
0.44
mean_absolute_error
0.44
mean_absolute_error
0.52
mean_absolute_error
0.24
mean_absolute_error
0.4
mean_absolute_error
0.44
mean_absolute_error
0.44
mean_absolute_error
0.36
mean_absolute_error
0.4
mean_absolute_error
0.32
mean_absolute_error
0.32
mean_absolute_error
0.48
mean_absolute_error
0.64
mean_absolute_error
0.44
mean_absolute_error
0.24
mean_absolute_error
0.28
mean_absolute_error
0.24
mean_absolute_error
0.16
mean_absolute_error
0.44
mean_absolute_error
0.28
mean_absolute_error
0.36
mean_absolute_error
0.4
mean_absolute_error
0.4
mean_absolute_error
0.36
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.498095
mean_prior_absolute_error
0.494286
mean_prior_absolute_error
0.494286
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
number_of_instances
25 [12,13]
number_of_instances
25 [11,14]
number_of_instances
25 [11,14]
precision
0.718667 [0.7,0.733333]
precision
0.549412 [0.5,0.588235]
precision
0.678333 [0.666667,0.6875]
precision
0.6 [0.545455,0.642857]
precision
0.593651 [0.571429,0.611111]
precision
0.76 [0.75,0.769231]
precision
0.63974 [0.636364,0.642857]
precision
0.644359 [0.583333,0.692308]
precision
0.855556 [1,0.722222]
precision
0.645 [0.666667,0.625]
precision
0.716 [0.8,0.65]
precision
0.781587 [0.857143,0.722222]
precision
0.544211 [0.5,0.578947]
precision
0.678333 [0.666667,0.6875]
precision
0.813235 [0.875,0.764706]
precision
0.765333 [0.8,0.733333]
precision
0.787059 [0.875,0.705882]
precision
0.762222 [0.777778,0.75]
precision
0.645 [0.666667,0.625]
precision
0.730833 [0.777778,0.6875]
precision
0.549412 [0.5,0.588235]
precision
0.678333 [0.666667,0.6875]
precision
0.687619 [0.714286,0.666667]
precision
0.687619 [0.714286,0.666667]
precision
0.781587 [0.857143,0.722222]
precision
0.406316 [0.333333,0.473684]
precision
0.465714 [0.428571,0.5]
precision
0.499683 [0.428571,0.555556]
precision
0.696471 [0.75,0.647059]
precision
0.642051 [0.615385,0.666667]
precision
0.564615 [0.5,0.615385]
precision
0.749825 [0.833333,0.684211]
precision
0.8 [0.8,0.8]
precision
0.510556 [0.444444,0.5625]
precision
0.594444 [0.555556,0.625]
precision
0.6 [0.545455,0.642857]
precision
0.556 [0.5,0.6]
precision
0.762222 [0.777778,0.75]
precision
0.687619 [0.714286,0.666667]
precision
0.678333 [0.666667,0.6875]
precision
0.725294 [0.75,0.705882]
precision
0.541333 [0.466667,0.6]
precision
0.658701 [0.571429,0.727273]
precision
0.68 [0.636364,0.714286]
precision
0.474667 [0.4,0.533333]
precision
0.718667 [0.7,0.733333]
precision
0.724103 [0.666667,0.769231]
precision
0.690769 [0.615385,0.75]
precision
0.594444 [0.555556,0.625]
precision
0.637333 [0.6,0.666667]
precision
0.813235 [0.875,0.764706]
precision
0.610256 [0.538462,0.666667]
precision
0.52 [0.454545,0.571429]
precision
0.781587 [0.857143,0.722222]
precision
0.62 [0.5,0.714286]
precision
0.725294 [0.75,0.705882]
precision
0.556 [0.5,0.6]
precision
0.813235 [0.875,0.764706]
precision
0.8625 [0.6875,1]
precision
0.724103 [0.666667,0.769231]
precision
0.68 [0.636364,0.714286]
precision
0.76 [0.727273,0.785714]
precision
0.718667 [0.7,0.733333]
precision
0.593651 [0.571429,0.611111]
precision
0.494026 [0.428571,0.545455]
precision
0.781587 [0.857143,0.722222]
precision
0.678333 [0.666667,0.6875]
precision
0.449231 [0.384615,0.5]
precision
0.637353 [0.625,0.647059]
precision
0.405714 [0.285714,0.5]
precision
0.660635 [0.714286,0.611111]
precision
0.720519 [0.727273,0.714286]
precision
0.722308 [0.692308,0.75]
precision
0.660635 [0.714286,0.611111]
precision
0.84987 [0.785714,0.909091]
precision
0.549412 [0.5,0.588235]
precision
0.564615 [0.5,0.615385]
precision
0.559167 [0.555556,0.5625]
precision
0.484872 [0.416667,0.538462]
precision
0.762222 [0.777778,0.75]
precision
0.6 [0.583333,0.615385]
precision
0.559167 [0.555556,0.5625]
precision
0.559167 [0.555556,0.5625]
precision
0.642051 [0.615385,0.666667]
precision
0.657143 [0.75,0.571429]
precision
0.678333 [0.666667,0.6875]
precision
0.678333 [0.666667,0.6875]
precision
0.517333 [0.5,0.533333]
precision
0.342778 [0.222222,0.4375]
precision
0.549412 [0.5,0.588235]
precision
0.765333 [0.8,0.733333]
precision
0.722308 [0.692308,0.75]
precision
0.765333 [0.8,0.733333]
precision
0.848 [0.9,0.8]
precision
0.558961 [0.545455,0.571429]
precision
0.718667 [0.7,0.733333]
precision
0.647018 [0.666667,0.631579]
precision
0.605882 [0.625,0.588235]
precision
0.610256 [0.538462,0.666667]
precision
0.644359 [0.583333,0.692308]
predictive_accuracy
0.72
predictive_accuracy
0.56
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.76
predictive_accuracy
0.64
predictive_accuracy
0.64
predictive_accuracy
0.8
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.56
predictive_accuracy
0.68
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.64
predictive_accuracy
0.72
predictive_accuracy
0.56
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.44
predictive_accuracy
0.48
predictive_accuracy
0.52
predictive_accuracy
0.68
predictive_accuracy
0.64
predictive_accuracy
0.56
predictive_accuracy
0.72
predictive_accuracy
0.8
predictive_accuracy
0.52
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.56
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.52
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.48
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.52
predictive_accuracy
0.76
predictive_accuracy
0.56
predictive_accuracy
0.72
predictive_accuracy
0.56
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.6
predictive_accuracy
0.48
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.44
predictive_accuracy
0.64
predictive_accuracy
0.44
predictive_accuracy
0.64
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.64
predictive_accuracy
0.84
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.48
predictive_accuracy
0.76
predictive_accuracy
0.6
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.52
predictive_accuracy
0.36
predictive_accuracy
0.56
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.76
predictive_accuracy
0.84
predictive_accuracy
0.56
predictive_accuracy
0.72
predictive_accuracy
0.64
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.64
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
prior_entropy
0.993447
recall
0.72 [0.636364,0.785714]
recall
0.56 [0.363636,0.714286]
recall
0.68 [0.545455,0.785714]
recall
0.6 [0.545455,0.642857]
recall
0.6 [0.363636,0.785714]
recall
0.76 [0.75,0.769231]
recall
0.64 [0.583333,0.692308]
recall
0.64 [0.636364,0.642857]
recall
0.8 [0.583333,1]
recall
0.64 [0.5,0.769231]
recall
0.68 [0.363636,0.928571]
recall
0.76 [0.545455,0.928571]
recall
0.56 [0.272727,0.785714]
recall
0.68 [0.545455,0.785714]
recall
0.8 [0.636364,0.928571]
recall
0.76 [0.666667,0.846154]
recall
0.76 [0.583333,0.923077]
recall
0.76 [0.636364,0.857143]
recall
0.64 [0.5,0.769231]
recall
0.72 [0.583333,0.846154]
recall
0.56 [0.363636,0.714286]
recall
0.68 [0.545455,0.785714]
recall
0.68 [0.454545,0.857143]
recall
0.68 [0.454545,0.857143]
recall
0.76 [0.545455,0.928571]
recall
0.44 [0.166667,0.692308]
recall
0.48 [0.25,0.692308]
recall
0.52 [0.272727,0.714286]
recall
0.68 [0.5,0.846154]
recall
0.64 [0.666667,0.615385]
recall
0.56 [0.545455,0.571429]
recall
0.72 [0.454545,0.928571]
recall
0.8 [0.727273,0.857143]
recall
0.52 [0.363636,0.642857]
recall
0.6 [0.454545,0.714286]
recall
0.6 [0.545455,0.642857]
recall
0.56 [0.454545,0.642857]
recall
0.76 [0.636364,0.857143]
recall
0.68 [0.454545,0.857143]
recall
0.68 [0.545455,0.785714]
recall
0.72 [0.545455,0.857143]
recall
0.52 [0.636364,0.428571]
recall
0.64 [0.727273,0.571429]
recall
0.68 [0.636364,0.714286]
recall
0.48 [0.363636,0.571429]
recall
0.72 [0.636364,0.785714]
recall
0.72 [0.727273,0.714286]
recall
0.68 [0.727273,0.642857]
recall
0.6 [0.454545,0.714286]
recall
0.64 [0.545455,0.714286]
recall
0.8 [0.636364,0.928571]
recall
0.6 [0.636364,0.571429]
recall
0.52 [0.454545,0.571429]
recall
0.76 [0.545455,0.928571]
recall
0.56 [0.818182,0.357143]
recall
0.72 [0.545455,0.857143]
recall
0.56 [0.454545,0.642857]
recall
0.8 [0.636364,0.928571]
recall
0.8 [1,0.642857]
recall
0.72 [0.727273,0.714286]
recall
0.68 [0.636364,0.714286]
recall
0.76 [0.727273,0.785714]
recall
0.72 [0.636364,0.785714]
recall
0.6 [0.363636,0.785714]
recall
0.48 [0.545455,0.428571]
recall
0.76 [0.545455,0.928571]
recall
0.68 [0.545455,0.785714]
recall
0.44 [0.454545,0.428571]
recall
0.64 [0.454545,0.785714]
recall
0.44 [0.181818,0.642857]
recall
0.64 [0.416667,0.846154]
recall
0.72 [0.666667,0.769231]
recall
0.72 [0.75,0.692308]
recall
0.64 [0.416667,0.846154]
recall
0.84 [0.916667,0.769231]
recall
0.56 [0.363636,0.714286]
recall
0.56 [0.545455,0.571429]
recall
0.56 [0.416667,0.692308]
recall
0.48 [0.454545,0.5]
recall
0.76 [0.636364,0.857143]
recall
0.6 [0.583333,0.615385]
recall
0.56 [0.416667,0.692308]
recall
0.56 [0.416667,0.692308]
recall
0.64 [0.666667,0.615385]
recall
0.6 [0.25,0.923077]
recall
0.68 [0.545455,0.785714]
recall
0.68 [0.545455,0.785714]
recall
0.52 [0.416667,0.615385]
recall
0.36 [0.181818,0.5]
recall
0.56 [0.363636,0.714286]
recall
0.76 [0.666667,0.846154]
recall
0.72 [0.75,0.692308]
recall
0.76 [0.666667,0.846154]
recall
0.84 [0.75,0.923077]
recall
0.56 [0.5,0.615385]
recall
0.72 [0.636364,0.785714]
recall
0.64 [0.363636,0.857143]
recall
0.6 [0.416667,0.769231]
recall
0.6 [0.636364,0.571429]
recall
0.64 [0.636364,0.642857]
relative_absolute_error
0.566474
relative_absolute_error
0.890173
relative_absolute_error
0.647399
relative_absolute_error
0.809249
relative_absolute_error
0.809249
relative_absolute_error
0.481836
relative_absolute_error
0.722753
relative_absolute_error
0.728324
relative_absolute_error
0.40153
relative_absolute_error
0.722753
relative_absolute_error
0.647399
relative_absolute_error
0.485549
relative_absolute_error
0.890173
relative_absolute_error
0.647399
relative_absolute_error
0.404624
relative_absolute_error
0.481836
relative_absolute_error
0.481836
relative_absolute_error
0.485549
relative_absolute_error
0.722753
relative_absolute_error
0.562141
relative_absolute_error
0.890173
relative_absolute_error
0.647399
relative_absolute_error
0.647399
relative_absolute_error
0.647399
relative_absolute_error
0.485549
relative_absolute_error
1.124283
relative_absolute_error
1.043977
relative_absolute_error
0.971098
relative_absolute_error
0.642447
relative_absolute_error
0.722753
relative_absolute_error
0.890173
relative_absolute_error
0.566474
relative_absolute_error
0.404624
relative_absolute_error
0.971098
relative_absolute_error
0.809249
relative_absolute_error
0.809249
relative_absolute_error
0.890173
relative_absolute_error
0.485549
relative_absolute_error
0.647399
relative_absolute_error
0.647399
relative_absolute_error
0.566474
relative_absolute_error
0.971098
relative_absolute_error
0.728324
relative_absolute_error
0.647399
relative_absolute_error
1.052023
relative_absolute_error
0.566474
relative_absolute_error
0.566474
relative_absolute_error
0.647399
relative_absolute_error
0.809249
relative_absolute_error
0.728324
relative_absolute_error
0.404624
relative_absolute_error
0.809249
relative_absolute_error
0.971098
relative_absolute_error
0.485549
relative_absolute_error
0.890173
relative_absolute_error
0.566474
relative_absolute_error
0.890173
relative_absolute_error
0.404624
relative_absolute_error
0.404624
relative_absolute_error
0.566474
relative_absolute_error
0.647399
relative_absolute_error
0.485549
relative_absolute_error
0.566474
relative_absolute_error
0.809249
relative_absolute_error
1.052023
relative_absolute_error
0.485549
relative_absolute_error
0.647399
relative_absolute_error
1.132948
relative_absolute_error
0.728324
relative_absolute_error
1.132948
relative_absolute_error
0.722753
relative_absolute_error
0.562141
relative_absolute_error
0.562141
relative_absolute_error
0.722753
relative_absolute_error
0.321224
relative_absolute_error
0.890173
relative_absolute_error
0.890173
relative_absolute_error
0.883365
relative_absolute_error
1.052023
relative_absolute_error
0.485549
relative_absolute_error
0.803059
relative_absolute_error
0.883365
relative_absolute_error
0.883365
relative_absolute_error
0.722753
relative_absolute_error
0.803059
relative_absolute_error
0.647399
relative_absolute_error
0.647399
relative_absolute_error
0.963671
relative_absolute_error
1.294798
relative_absolute_error
0.890173
relative_absolute_error
0.481836
relative_absolute_error
0.562141
relative_absolute_error
0.481836
relative_absolute_error
0.321224
relative_absolute_error
0.883365
relative_absolute_error
0.566474
relative_absolute_error
0.728324
relative_absolute_error
0.803059
relative_absolute_error
0.809249
relative_absolute_error
0.728324
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.500363
root_mean_prior_squared_error
0.496541
root_mean_prior_squared_error
0.496541
root_mean_squared_error
0.52915
root_mean_squared_error
0.663325
root_mean_squared_error
0.565685
root_mean_squared_error
0.632456
root_mean_squared_error
0.632456
root_mean_squared_error
0.489898
root_mean_squared_error
0.6
root_mean_squared_error
0.6
root_mean_squared_error
0.447214
root_mean_squared_error
0.6
root_mean_squared_error
0.565685
root_mean_squared_error
0.489898
root_mean_squared_error
0.663325
root_mean_squared_error
0.565685
root_mean_squared_error
0.447214
root_mean_squared_error
0.489898
root_mean_squared_error
0.489898
root_mean_squared_error
0.489898
root_mean_squared_error
0.6
root_mean_squared_error
0.52915
root_mean_squared_error
0.663325
root_mean_squared_error
0.565685
root_mean_squared_error
0.565685
root_mean_squared_error
0.565685
root_mean_squared_error
0.489898
root_mean_squared_error
0.748331
root_mean_squared_error
0.72111
root_mean_squared_error
0.69282
root_mean_squared_error
0.565685
root_mean_squared_error
0.6
root_mean_squared_error
0.663325
root_mean_squared_error
0.52915
root_mean_squared_error
0.447214
root_mean_squared_error
0.69282
root_mean_squared_error
0.632456
root_mean_squared_error
0.632456
root_mean_squared_error
0.663325
root_mean_squared_error
0.489898
root_mean_squared_error
0.565685
root_mean_squared_error
0.565685
root_mean_squared_error
0.52915
root_mean_squared_error
0.69282
root_mean_squared_error
0.6
root_mean_squared_error
0.565685
root_mean_squared_error
0.72111
root_mean_squared_error
0.52915
root_mean_squared_error
0.52915
root_mean_squared_error
0.565685
root_mean_squared_error
0.632456
root_mean_squared_error
0.6
root_mean_squared_error
0.447214
root_mean_squared_error
0.632456
root_mean_squared_error
0.69282
root_mean_squared_error
0.489898
root_mean_squared_error
0.663325
root_mean_squared_error
0.52915
root_mean_squared_error
0.663325
root_mean_squared_error
0.447214
root_mean_squared_error
0.447214
root_mean_squared_error
0.52915
root_mean_squared_error
0.565685
root_mean_squared_error
0.489898
root_mean_squared_error
0.52915
root_mean_squared_error
0.632456
root_mean_squared_error
0.72111
root_mean_squared_error
0.489898
root_mean_squared_error
0.565685
root_mean_squared_error
0.748331
root_mean_squared_error
0.6
root_mean_squared_error
0.748331
root_mean_squared_error
0.6
root_mean_squared_error
0.52915
root_mean_squared_error
0.52915
root_mean_squared_error
0.6
root_mean_squared_error
0.4
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