396351
2
Joaquin Vanschoren
4654
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
1115
teachingAssistant
https://www.openml.org/data/download/53998/teachingAssistant.arff
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description
https://api.openml.org/data/download/1386285/weka_generated_run6237376279622394091.xml
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model_readable
https://api.openml.org/data/download/1386288/WekaModel_weka.classifiers.functions.LibSVM3880468627110003190.model
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1386287
model_serialized
https://api.openml.org/data/download/1386287/WekaSerialized_weka.classifiers.functions.LibSVM6629969991618708334.model
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predictions
https://api.openml.org/data/download/1386286/weka_generated_predictions898386220557495050.arff
area_under_roc_curve
0.851123 [0.829342,0.87496,0.848728]
average_cost
0
f_measure
0.801234 [0.769074,0.830375,0.803519]
kappa
0.701968
kb_relative_information_score
1099.096175
mean_absolute_error
0.13245
mean_prior_absolute_error
0.444311
number_of_instances
1510 [490,500,520]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.801406 [0.766734,0.819066,0.817097]
predictive_accuracy
0.801325
prior_entropy
1.584538
recall
0.801325 [0.771429,0.842,0.790385]
relative_absolute_error
0.298103
root_mean_prior_squared_error
0.471332
root_mean_squared_error
0.363937
root_relative_squared_error
0.772146
scimark_benchmark
952.468245 [567.2327196592638, 1014.7209476623404, 518.7158737333432, 911.8052173913044, 1749.8664669073971]
total_cost
0
usercpu_time_millis
20
usercpu_time_millis_testing
10
usercpu_time_millis_training
10
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0.763636 [0.709091,0.854545,0.733333]
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0.763636 [0.854545,0.709091,0.733333]
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0.85 [0.8,1,0.75]
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0.954545 [0.954545,1,0.916667]
area_under_roc_curve
0.758081 [0.863636,0.65,0.777778]
area_under_roc_curve
0.808081 [0.738636,0.9,0.777778]
area_under_roc_curve
0.844444 [0.875,0.9,0.777778]
area_under_roc_curve
0.8 [0.8,0.8,0.8]
area_under_roc_curve
0.944444 [1,0.9,0.944444]
area_under_roc_curve
0.75 [0.6,0.9,0.75]
area_under_roc_curve
0.8 [0.7,0.8,0.9]
area_under_roc_curve
0.809091 [0.909091,0.7,0.833333]
area_under_roc_curve
0.9 [1,0.9,0.8]
area_under_roc_curve
0.95 [0.9,0.95,1]
area_under_roc_curve
0.8 [0.75,0.9,0.75]
area_under_roc_curve
0.85 [0.85,0.95,0.75]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.9 [0.85,1,0.85]
area_under_roc_curve
0.9 [0.85,1,0.85]
area_under_roc_curve
0.95 [0.9,1,0.95]
area_under_roc_curve
0.85 [0.75,0.95,0.85]
area_under_roc_curve
0.8 [0.75,0.75,0.9]
area_under_roc_curve
0.9 [0.8,0.95,0.95]
area_under_roc_curve
0.9 [0.9,0.9,0.9]
area_under_roc_curve
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area_under_roc_curve
0.9 [0.95,0.95,0.8]
area_under_roc_curve
0.85 [0.8,1,0.75]
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area_under_roc_curve
0.75 [0.8,0.65,0.8]
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
0.85 [0.8,0.9,0.85]
area_under_roc_curve
0.85 [0.75,0.85,0.95]
area_under_roc_curve
0.8 [0.8,0.9,0.7]
area_under_roc_curve
0.8 [0.8,0.65,0.95]
area_under_roc_curve
0.95 [0.95,1,0.9]
area_under_roc_curve
0.9 [0.9,0.9,0.9]
area_under_roc_curve
0.85 [0.9,0.85,0.8]
area_under_roc_curve
0.85 [0.8,0.9,0.85]
area_under_roc_curve
0.9 [0.85,1,0.85]
area_under_roc_curve
0.85 [0.75,0.9,0.9]
area_under_roc_curve
0.7 [0.7,0.65,0.75]
area_under_roc_curve
0.75 [0.75,0.7,0.8]
area_under_roc_curve
0.9 [0.85,1,0.85]
area_under_roc_curve
0.85 [0.85,0.85,0.85]
area_under_roc_curve
0.8 [0.75,0.8,0.85]
area_under_roc_curve
0.75 [0.7,0.8,0.75]
area_under_roc_curve
0.8 [0.75,0.8,0.85]
area_under_roc_curve
0.85 [0.75,0.9,0.9]
area_under_roc_curve
0.8 [0.75,0.8,0.85]
area_under_roc_curve
0.9 [0.9,0.95,0.85]
area_under_roc_curve
0.9 [0.9,0.95,0.85]
area_under_roc_curve
0.9 [0.9,0.9,0.9]
area_under_roc_curve
0.9 [0.85,1,0.85]
area_under_roc_curve
0.95 [0.95,0.9,1]
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0.9 [0.9,0.95,0.85]
area_under_roc_curve
0.85 [0.85,0.9,0.8]
area_under_roc_curve
0.8 [0.75,0.8,0.85]
area_under_roc_curve
0.75 [0.75,0.7,0.8]
area_under_roc_curve
0.85 [0.85,0.85,0.85]
area_under_roc_curve
0.9 [0.9,0.9,0.9]
area_under_roc_curve
0.95 [0.9,0.95,1]
area_under_roc_curve
0.8 [0.75,0.9,0.75]
area_under_roc_curve
0.8 [0.7,0.95,0.75]
area_under_roc_curve
0.9 [1,0.9,0.8]
area_under_roc_curve
0.85 [1,0.8,0.75]
area_under_roc_curve
0.85 [0.75,0.9,0.9]
area_under_roc_curve
0.9 [0.8,0.95,0.95]
area_under_roc_curve
0.8 [0.7,0.9,0.8]
area_under_roc_curve
0.9 [0.85,0.9,0.95]
area_under_roc_curve
0.95 [1,0.95,0.9]
area_under_roc_curve
0.9 [0.85,1,0.85]
area_under_roc_curve
0.9 [0.8,1,0.9]
area_under_roc_curve
0.9 [0.9,0.9,0.9]
area_under_roc_curve
0.8 [0.7,0.85,0.85]
area_under_roc_curve
0.75 [0.7,0.7,0.85]
area_under_roc_curve
0.85 [0.85,0.85,0.85]
area_under_roc_curve
0.89899 [0.954545,0.8,0.944444]
area_under_roc_curve
0.8 [0.75,0.85,0.8]
area_under_roc_curve
0.85 [0.85,0.85,0.85]
area_under_roc_curve
0.85 [0.9,0.85,0.8]
area_under_roc_curve
0.8 [0.7,1,0.7]
area_under_roc_curve
0.854545 [0.829545,0.9,0.833333]
area_under_roc_curve
0.75 [0.75,0.6,0.9]
area_under_roc_curve
0.854545 [0.829545,0.9,0.833333]
area_under_roc_curve
0.904545 [0.829545,0.95,0.916667]
area_under_roc_curve
0.95 [0.9,0.95,1]
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average_cost
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f_measure
0.6875 [0.6,0.8,0.666667]
f_measure
0.75 [0.727273,0.8,0.727273]
f_measure
0.679545 [0.727273,0.727273,0.6]
f_measure
0.936869 [0.909091,0.888889,1]
f_measure
0.630682 [0.6,0.545455,0.727273]
f_measure
0.818182 [0.727273,0.8,0.909091]
f_measure
0.6875 [0.8,0.6,0.666667]
f_measure
0.811364 [0.727273,0.909091,0.8]
f_measure
0.936869 [0.888889,0.909091,1]
f_measure
0.86462 [0.909091,0.75,0.923077]
f_measure
0.79798 [0.727273,1,0.666667]
f_measure
0.934007 [0.888889,1,0.909091]
f_measure
0.651515 [0.727273,0.5,0.727273]
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f_measure
0.797258 [0.857143,0.833333,0.727273]
f_measure
0.734848 [0.75,0.727273,0.727273]
f_measure
0.932194 [1,0.888889,0.923077]
f_measure
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f_measure
0.727778 [0.6,0.75,0.833333]
f_measure
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f_measure
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f_measure
0.93266 [0.888889,0.909091,1]
f_measure
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f_measure
0.791919 [0.8,0.909091,0.666667]
f_measure
0.861111 [1,0.75,0.833333]
f_measure
0.795455 [0.909091,0.727273,0.75]
f_measure
0.731313 [0.666667,0.727273,0.8]
f_measure
0.861111 [0.75,1,0.833333]
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f_measure
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f_measure
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0.87037 [0.888889,0.833333,0.888889]
f_measure
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f_measure
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f_measure
0.87037 [0.888889,0.888889,0.833333]
f_measure
0.794444 [0.833333,0.8,0.75]
f_measure
0.794444 [0.75,0.833333,0.8]
f_measure
0.866667 [0.8,1,0.8]
f_measure
0.796296 [0.666667,0.833333,0.888889]
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kappa
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kappa
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0.719298
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0.72093
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0.810651
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kappa
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kappa
0.506579
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0.602649
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0.695946
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0.6
kappa
0.897959
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0.5
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0.6
kappa
0.605263
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0.8
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0.9
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kb_relative_information_score
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kb_relative_information_score
7.760574
kb_relative_information_score
11.869889
kb_relative_information_score
9.142224
kb_relative_information_score
11.887058
kb_relative_information_score
14.597553
kb_relative_information_score
13.234369
kb_relative_information_score
10.915882
kb_relative_information_score
13.599727
kb_relative_information_score
8.127227
kb_relative_information_score
9.490412
kb_relative_information_score
10.862829
kb_relative_information_score
9.517062
kb_relative_information_score
13.582557
kb_relative_information_score
8.135412
kb_relative_information_score
9.499892
kb_relative_information_score
9.499645
kb_relative_information_score
12.297532
kb_relative_information_score
13.626377
kb_relative_information_score
9.534232
kb_relative_information_score
10.915882
kb_relative_information_score
12.263193
kb_relative_information_score
10.925115
kb_relative_information_score
9.517062
kb_relative_information_score
12.244727
kb_relative_information_score
10.925115
kb_relative_information_score
12.271129
kb_relative_information_score
12.271129
kb_relative_information_score
13.626377
kb_relative_information_score
10.889479
kb_relative_information_score
9.499892
kb_relative_information_score
12.244727
kb_relative_information_score
12.271129
kb_relative_information_score
10.889479
kb_relative_information_score
12.297532
kb_relative_information_score
10.915882
kb_relative_information_score
9.517062
kb_relative_information_score
8.153878
kb_relative_information_score
10.915882
kb_relative_information_score
12.280362
kb_relative_information_score
10.863076
kb_relative_information_score
10.898712
kb_relative_information_score
10.872309
kb_relative_information_score
9.569867
kb_relative_information_score
9.509125
kb_relative_information_score
13.65278
kb_relative_information_score
12.25396
kb_relative_information_score
10.925115
kb_relative_information_score
10.889479
kb_relative_information_score
12.271129
kb_relative_information_score
10.889479
kb_relative_information_score
6.79863
kb_relative_information_score
8.18028
kb_relative_information_score
12.271129
kb_relative_information_score
10.898712
kb_relative_information_score
9.517062
kb_relative_information_score
8.161814
kb_relative_information_score
9.517062
kb_relative_information_score
10.872309
kb_relative_information_score
9.517062
kb_relative_information_score
12.271129
kb_relative_information_score
12.271129
kb_relative_information_score
12.25396
kb_relative_information_score
12.271129
kb_relative_information_score
13.63561
kb_relative_information_score
12.271129
kb_relative_information_score
10.925115
kb_relative_information_score
9.517062
kb_relative_information_score
8.171047
kb_relative_information_score
10.898712
kb_relative_information_score
12.271129
kb_relative_information_score
13.626377
kb_relative_information_score
9.543465
kb_relative_information_score
9.534232
kb_relative_information_score
12.297532
kb_relative_information_score
10.925115
kb_relative_information_score
10.889479
kb_relative_information_score
12.244727
kb_relative_information_score
9.490659
kb_relative_information_score
12.25396
kb_relative_information_score
13.65278
kb_relative_information_score
12.271129
kb_relative_information_score
12.244727
kb_relative_information_score
12.271129
kb_relative_information_score
9.490659
kb_relative_information_score
8.127475
kb_relative_information_score
10.898712
kb_relative_information_score
12.21014
kb_relative_information_score
9.543465
kb_relative_information_score
10.898712
kb_relative_information_score
10.925115
kb_relative_information_score
9.534232
kb_relative_information_score
10.862829
kb_relative_information_score
8.136708
kb_relative_information_score
10.862829
kb_relative_information_score
12.218076
kb_relative_information_score
13.626377
mean_absolute_error
0.208333
mean_absolute_error
0.166667
mean_absolute_error
0.208333
mean_absolute_error
0.041667
mean_absolute_error
0.25
mean_absolute_error
0.125
mean_absolute_error
0.208333
mean_absolute_error
0.125
mean_absolute_error
0.041667
mean_absolute_error
0.083333
mean_absolute_error
0.133333
mean_absolute_error
0.044444
mean_absolute_error
0.222222
mean_absolute_error
0.177778
mean_absolute_error
0.133333
mean_absolute_error
0.177778
mean_absolute_error
0.044444
mean_absolute_error
0.222222
mean_absolute_error
0.177778
mean_absolute_error
0.177778
mean_absolute_error
0.088889
mean_absolute_error
0.044444
mean_absolute_error
0.177778
mean_absolute_error
0.133333
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.177778
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.088889
mean_absolute_error
0.088889
mean_absolute_error
0.044444
mean_absolute_error
0.133333
mean_absolute_error
0.177778
mean_absolute_error
0.088889
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.177778
mean_absolute_error
0.222222
mean_absolute_error
0.133333
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.133333
mean_absolute_error
0.133333
mean_absolute_error
0.177778
mean_absolute_error
0.177778
mean_absolute_error
0.044444
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.133333
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.266667
mean_absolute_error
0.222222
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.177778
mean_absolute_error
0.222222
mean_absolute_error
0.177778
mean_absolute_error
0.133333
mean_absolute_error
0.177778
mean_absolute_error
0.088889
mean_absolute_error
0.088889
mean_absolute_error
0.088889
mean_absolute_error
0.088889
mean_absolute_error
0.044444
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.177778
mean_absolute_error
0.222222
mean_absolute_error
0.133333
mean_absolute_error
0.088889
mean_absolute_error
0.044444
mean_absolute_error
0.177778
mean_absolute_error
0.177778
mean_absolute_error
0.088889
mean_absolute_error
0.133333
mean_absolute_error
0.133333
mean_absolute_error
0.088889
mean_absolute_error
0.177778
mean_absolute_error
0.088889
mean_absolute_error
0.044444
mean_absolute_error
0.088889
mean_absolute_error
0.088889
mean_absolute_error
0.088889
mean_absolute_error
0.177778
mean_absolute_error
0.222222
mean_absolute_error
0.133333
mean_absolute_error
0.088889
mean_absolute_error
0.177778
mean_absolute_error
0.133333
mean_absolute_error
0.133333
mean_absolute_error
0.177778
mean_absolute_error
0.133333
mean_absolute_error
0.222222
mean_absolute_error
0.133333
mean_absolute_error
0.088889
mean_absolute_error
0.044444
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
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0.444444
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0.444444
mean_prior_absolute_error
0.444444
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0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
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0.444444
mean_prior_absolute_error
0.444444
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0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
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mean_prior_absolute_error
0.444444
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0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
precision
0.6875 [0.6,0.8,0.666667]
precision
0.758333 [0.666667,0.8,0.8]
precision
0.697917 [0.666667,0.666667,0.75]
precision
0.947917 [0.833333,1,1]
precision
0.64375 [0.6,0.5,0.8]
precision
0.833333 [0.666667,0.8,1]
precision
0.6875 [0.8,0.6,0.666667]
precision
0.84375 [0.666667,0.833333,1]
precision
0.947917 [1,0.833333,1]
precision
0.894345 [0.833333,1,0.857143]
precision
0.805556 [0.666667,1,0.75]
precision
0.946667 [0.8,1,1]
precision
0.694603 [0.571429,0.666667,0.8]
precision
0.786667 [0.5,1,0.8]
precision
0.824762 [1,0.714286,0.8]
precision
0.777778 [1,0.666667,0.666667]
precision
0.942857 [1,1,0.857143]
precision
0.690476 [0.5,1,0.571429]
precision
0.771429 [0.6,1,0.714286]
precision
0.777778 [0.666667,0.6,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [1,0.833333,1]
precision
0.738095 [0.75,0.714286,0.75]
precision
0.794444 [0.8,0.833333,0.75]
precision
0.904762 [1,1,0.714286]
precision
0.833333 [0.833333,0.666667,1]
precision
0.738889 [0.75,0.666667,0.8]
precision
0.904762 [1,1,0.714286]
precision
0.838095 [0.714286,0.8,1]
precision
0.866667 [0.8,1,0.8]
precision
0.866667 [0.8,1,0.8]
precision
0.944444 [1,1,0.833333]
precision
0.794444 [0.75,0.833333,0.8]
precision
0.738095 [0.75,0.75,0.714286]
precision
0.888889 [1,0.833333,0.833333]
precision
0.904762 [1,0.714286,1]
precision
0.838095 [1,0.714286,0.8]
precision
0.888889 [0.833333,0.833333,1]
precision
0.805556 [0.666667,1,0.75]
precision
0.790476 [1,0.8,0.571429]
precision
0.666667 [0.666667,0.666667,0.666667]
precision
0.838095 [0.8,0.714286,1]
precision
0.904762 [0.714286,1,1]
precision
0.849206 [1,0.833333,0.714286]
precision
0.822222 [0.666667,1,0.8]
precision
0.794444 [0.75,0.8,0.833333]
precision
0.851852 [0.555556,1,1]
precision
0.722222 [0.666667,0.666667,0.833333]
precision
0.944444 [0.833333,1,1]
precision
0.904762 [1,1,0.714286]
precision
0.838095 [0.714286,0.8,1]
precision
0.838095 [1,0.714286,0.8]
precision
0.866667 [0.8,1,0.8]
precision
0.821429 [0.75,0.714286,1]
precision
0.638889 [0.5,0.666667,0.75]
precision
0.833333 [0.5,1,1]
precision
0.866667 [0.8,1,0.8]
precision
0.8 [0.8,0.8,0.8]
precision
0.738889 [0.75,0.666667,0.8]
precision
0.672222 [0.6,0.666667,0.75]
precision
0.738889 [0.75,0.666667,0.8]
precision
0.821429 [0.75,1,0.714286]
precision
0.738889 [0.75,0.666667,0.8]
precision
0.877778 [1,0.833333,0.8]
precision
0.877778 [1,0.833333,0.8]
precision
0.904762 [1,1,0.714286]
precision
0.866667 [0.8,1,0.8]
precision
0.944444 [0.833333,1,1]
precision
0.877778 [1,0.833333,0.8]
precision
0.875 [0.625,1,1]
precision
0.738889 [0.75,0.666667,0.8]
precision
0.72381 [0.571429,0.6,1]
precision
0.8 [0.8,0.8,0.8]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [1,0.833333,1]
precision
0.77381 [0.571429,1,0.75]
precision
0.727778 [0.6,0.833333,0.75]
precision
0.904762 [1,0.714286,1]
precision
0.805556 [1,0.666667,0.75]
precision
0.821429 [0.75,0.714286,1]
precision
0.888889 [1,0.833333,0.833333]
precision
0.851852 [1,1,0.555556]
precision
0.877778 [0.8,1,0.833333]
precision
0.944444 [1,0.833333,1]
precision
0.866667 [0.8,1,0.8]
precision
0.904762 [1,1,0.714286]
precision
0.904762 [1,0.714286,1]
precision
0.808333 [1,0.8,0.625]
precision
0.741667 [0.6,1,0.625]
precision
0.8 [0.8,0.8,0.8]
precision
0.889524 [0.8,1,0.857143]
precision
0.790476 [0.571429,0.8,1]
precision
0.8 [0.8,0.8,0.8]
precision
0.838095 [0.714286,0.8,1]
precision
0.733333 [0.6,1,0.6]
precision
0.838095 [0.75,0.714286,1]
precision
0.761905 [0.571429,1,0.714286]
precision
0.838095 [0.75,0.714286,1]
precision
0.877778 [0.75,0.833333,1]
precision
0.944444 [1,0.833333,1]
predictive_accuracy
0.6875
predictive_accuracy
0.75
predictive_accuracy
0.6875
predictive_accuracy
0.9375
predictive_accuracy
0.625
predictive_accuracy
0.8125
predictive_accuracy
0.6875
predictive_accuracy
0.8125
predictive_accuracy
0.9375
predictive_accuracy
0.875
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.933333
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
recall
0.6875 [0.6,0.8,0.666667]
recall
0.75 [0.8,0.8,0.666667]
recall
0.6875 [0.8,0.8,0.5]
recall
0.9375 [1,0.8,1]
recall
0.625 [0.6,0.6,0.666667]
recall
0.8125 [0.8,0.8,0.833333]
recall
0.6875 [0.8,0.6,0.666667]
recall
0.8125 [0.8,1,0.666667]
recall
0.9375 [0.8,1,1]
recall
0.875 [1,0.6,1]
recall
0.8 [0.8,1,0.6]
recall
0.933333 [1,1,0.833333]
recall
0.666667 [1,0.4,0.666667]
recall
0.733333 [0.75,0.8,0.666667]
recall
0.8 [0.75,1,0.666667]
recall
0.733333 [0.6,0.8,0.8]
recall
0.933333 [1,0.8,1]
recall
0.666667 [0.4,0.8,0.8]
recall
0.733333 [0.6,0.6,1]
recall
0.733333 [1,0.6,0.666667]
recall
0.866667 [1,1,0.6]
recall
0.933333 [0.8,1,1]
recall
0.733333 [0.6,1,0.6]
recall
0.8 [0.8,1,0.6]
recall
0.866667 [1,0.6,1]
recall
0.8 [1,0.8,0.6]
recall
0.733333 [0.6,0.8,0.8]
recall
0.866667 [0.6,1,1]
recall
0.8 [1,0.8,0.6]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.933333 [0.8,1,1]
recall
0.8 [0.6,1,0.8]
recall
0.733333 [0.6,0.6,1]
recall
0.866667 [0.6,1,1]
recall
0.866667 [0.8,1,0.8]
recall
0.8 [0.6,1,0.8]
recall
0.866667 [1,1,0.6]
recall
0.8 [0.8,1,0.6]
recall
0.733333 [0.6,0.8,0.8]
recall
0.666667 [0.8,0.4,0.8]
recall
0.8 [0.8,1,0.6]
recall
0.866667 [1,0.8,0.8]
recall
0.8 [0.4,1,1]
recall
0.8 [0.8,0.8,0.8]
recall
0.8 [0.6,0.8,1]
recall
0.733333 [1,0.8,0.4]
recall
0.733333 [0.8,0.4,1]
recall
0.933333 [1,1,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.8 [1,0.8,0.6]
recall
0.8 [0.6,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.8 [0.6,1,0.8]
recall
0.6 [0.8,0.4,0.6]
recall
0.666667 [1,0.4,0.6]
recall
0.866667 [0.8,1,0.8]
recall
0.8 [0.8,0.8,0.8]
recall
0.733333 [0.6,0.8,0.8]
recall
0.666667 [0.6,0.8,0.6]
recall
0.733333 [0.6,0.8,0.8]
recall
0.8 [0.6,0.8,1]
recall
0.733333 [0.6,0.8,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.866667 [0.8,1,0.8]
recall
0.933333 [1,0.8,1]
recall
0.866667 [0.8,1,0.8]
recall
0.8 [1,0.8,0.6]
recall
0.733333 [0.6,0.8,0.8]
recall
0.666667 [0.8,0.6,0.6]
recall
0.8 [0.8,0.8,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.933333 [0.8,1,1]
recall
0.733333 [0.8,0.8,0.6]
recall
0.733333 [0.6,1,0.6]
recall
0.866667 [1,1,0.6]
recall
0.8 [1,0.8,0.6]
recall
0.8 [0.6,1,0.8]
recall
0.866667 [0.6,1,1]
recall
0.733333 [0.4,0.8,1]
recall
0.866667 [0.8,0.8,1]
recall
0.933333 [1,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [0.6,1,1]
recall
0.866667 [0.8,1,0.8]
recall
0.733333 [0.4,0.8,1]
recall
0.666667 [0.6,0.4,1]
recall
0.8 [0.8,0.8,0.8]
recall
0.866667 [1,0.6,1]
recall
0.733333 [0.8,0.8,0.6]
recall
0.8 [0.8,0.8,0.8]
recall
0.8 [1,0.8,0.6]
recall
0.733333 [0.6,1,0.6]
recall
0.8 [0.75,1,0.666667]
recall
0.666667 [0.8,0.2,1]
recall
0.8 [0.75,1,0.666667]
recall
0.866667 [0.75,1,0.833333]
recall
0.933333 [0.8,1,1]
relative_absolute_error
0.469226
relative_absolute_error
0.375381
relative_absolute_error
0.469226
relative_absolute_error
0.093845
relative_absolute_error
0.563071
relative_absolute_error
0.281536
relative_absolute_error
0.469226
relative_absolute_error
0.281536
relative_absolute_error
0.093845
relative_absolute_error
0.18769
relative_absolute_error
0.3
relative_absolute_error
0.100195
relative_absolute_error
0.500976
relative_absolute_error
0.400781
relative_absolute_error
0.300586
relative_absolute_error
0.4
relative_absolute_error
0.100195
relative_absolute_error
0.5
relative_absolute_error
0.4
relative_absolute_error
0.400781
relative_absolute_error
0.2
relative_absolute_error
0.1
relative_absolute_error
0.4
relative_absolute_error
0.3
relative_absolute_error
0.2
relative_absolute_error
0.3
relative_absolute_error
0.4
relative_absolute_error
0.2
relative_absolute_error
0.3
relative_absolute_error
0.2
relative_absolute_error
0.2
relative_absolute_error
0.1
relative_absolute_error
0.3
relative_absolute_error
0.4
relative_absolute_error
0.2
relative_absolute_error
0.2
relative_absolute_error
0.3
relative_absolute_error
0.2
relative_absolute_error
0.3
relative_absolute_error
0.4
relative_absolute_error
0.5
relative_absolute_error
0.3
relative_absolute_error
0.2
relative_absolute_error
0.3
relative_absolute_error
0.3
relative_absolute_error
0.3
relative_absolute_error
0.4
relative_absolute_error
0.4
relative_absolute_error
0.1
relative_absolute_error
0.2
relative_absolute_error
0.3
relative_absolute_error
0.3
relative_absolute_error
0.2
relative_absolute_error
0.3
relative_absolute_error
0.6
relative_absolute_error
0.5
relative_absolute_error
0.2
relative_absolute_error
0.3
relative_absolute_error
0.4
relative_absolute_error
0.5
relative_absolute_error
0.4
relative_absolute_error
0.3
relative_absolute_error
0.4
relative_absolute_error
0.2
relative_absolute_error
0.2
relative_absolute_error
0.2
relative_absolute_error
0.2
relative_absolute_error
0.1
relative_absolute_error
0.2
relative_absolute_error
0.3
relative_absolute_error
0.4
relative_absolute_error
0.5
relative_absolute_error
0.3
relative_absolute_error
0.2
relative_absolute_error
0.1
relative_absolute_error
0.4
relative_absolute_error
0.4
relative_absolute_error
0.2
relative_absolute_error
0.3
relative_absolute_error
0.3
relative_absolute_error
0.2
relative_absolute_error
0.4
relative_absolute_error
0.2
relative_absolute_error
0.1
relative_absolute_error
0.2
relative_absolute_error
0.2
relative_absolute_error
0.2
relative_absolute_error
0.4
relative_absolute_error
0.5
relative_absolute_error
0.3
relative_absolute_error
0.20039
relative_absolute_error
0.4
relative_absolute_error
0.3
relative_absolute_error
0.3
relative_absolute_error
0.4
relative_absolute_error
0.300586
relative_absolute_error
0.5
relative_absolute_error
0.300586
relative_absolute_error
0.20039
relative_absolute_error
0.1
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_squared_error
0.456435
root_mean_squared_error
0.408248
root_mean_squared_error
0.456435
root_mean_squared_error
0.204124
root_mean_squared_error
0.5
root_mean_squared_error
0.353553
root_mean_squared_error
0.456435
root_mean_squared_error
0.353553
root_mean_squared_error
0.204124
root_mean_squared_error
0.288675
root_mean_squared_error
0.365148
root_mean_squared_error
0.210819
root_mean_squared_error
0.471405
root_mean_squared_error
0.421637
root_mean_squared_error
0.365148
root_mean_squared_error
0.421637
root_mean_squared_error
0.210819
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