575733
1
Jan van Rijn
14
Supervised Classification
3904
weka.AttributeSelectedClassifier_BayesNet(1)
6251
weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
E
weka.attributeSelection.CfsSubsetEval -P 1 -E 1
3904
S
weka.attributeSelection.BestFirst -D 1 -N 5
3904
W
weka.classifiers.bayes.BayesNet
3904
D
true
3905
Q
weka.classifiers.bayes.net.search.local.K2
3905
study_70
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
1985784
description
https://api.openml.org/data/download/1985784/weka_generated_run6049768078567309502.xml
-1
1985786
model_readable
https://api.openml.org/data/download/1985786/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier6843727521398359736.model
-1
1985785
model_serialized
https://api.openml.org/data/download/1985785/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier8537239109942948369.model
-1
1985787
predictions
https://api.openml.org/data/download/1985787/weka_generated_predictions2230016871868293858.arff
area_under_roc_curve
0.969409 [0.997493,0.937208,0.989636,0.984447,0.941294,0.990171,0.944183,0.980496,0.99129,0.937868]
average_cost
0
f_measure
0.782836 [0.976982,0.711316,0.903896,0.843501,0.726343,0.867299,0.526042,0.794457,0.960199,0.518325]
kappa
0.76
kb_relative_information_score
1593.22239
mean_absolute_error
0.045386
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
precision
0.785408 [1,0.660944,0.940541,0.898305,0.743455,0.824324,0.548913,0.738197,0.955446,0.543956]
predictive_accuracy
0.784
prior_entropy
3.321928
recall
0.784 [0.955,0.77,0.87,0.795,0.71,0.915,0.505,0.86,0.965,0.495]
relative_absolute_error
0.252144
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.18471
root_relative_squared_error
0.615699
scimark_benchmark
1573.236735 [874.0870295708412, 1196.1234854093211, 516.9676220670322, 1461.2262858419435, 3817.7792497895534]
total_cost
0
usercpu_time_millis
220
usercpu_time_millis_testing
30
usercpu_time_millis_training
190
area_under_roc_curve
0.964833 [0.974861,0.945417,0.991389,0.989444,0.913056,0.999722,0.906111,0.9825,0.998333,0.9475]
area_under_roc_curve
0.957639 [1,0.927222,0.99,0.959444,0.889861,0.991389,0.951944,0.95125,0.973611,0.941667]
area_under_roc_curve
0.978181 [1,0.965278,0.997778,0.977778,0.975278,0.990278,0.928611,0.987083,1,0.959722]
area_under_roc_curve
0.974208 [1,0.945278,0.996389,0.997222,0.976667,0.9975,0.9625,0.953611,0.973889,0.939028]
area_under_roc_curve
0.963625 [1,0.886667,0.994167,0.969444,0.936944,0.98625,0.948611,0.984583,0.999722,0.929861]
area_under_roc_curve
0.975069 [1,0.923333,0.999167,0.986389,0.965278,0.989306,0.954444,0.990278,1,0.9425]
area_under_roc_curve
0.967486 [1,0.915972,0.970278,0.978194,0.944722,0.963472,0.970833,0.987778,0.998611,0.945]
area_under_roc_curve
0.980806 [1,0.943194,0.996389,0.995556,0.956111,0.993333,0.965,0.991806,1,0.966667]
area_under_roc_curve
0.976319 [1,0.953194,1,0.998889,0.956389,0.991111,0.949722,0.993611,1,0.920278]
area_under_roc_curve
0.960083 [1,0.969861,0.961389,0.989444,0.895833,0.998056,0.927222,0.987083,0.969167,0.902778]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.765724 [0.974359,0.765957,0.842105,0.857143,0.761905,0.97561,0.277778,0.75,0.952381,0.5]
f_measure
0.768967 [1,0.697674,0.871795,0.871795,0.666667,0.837209,0.55,0.731707,0.95,0.512821]
f_measure
0.774703 [0.918919,0.723404,0.918919,0.810811,0.790698,0.829268,0.526316,0.75,0.952381,0.526316]
f_measure
0.789491 [0.947368,0.714286,0.918919,0.926829,0.761905,0.904762,0.526316,0.731707,0.95,0.512821]
f_measure
0.740472 [1,0.578947,0.888889,0.769231,0.631579,0.808511,0.512821,0.73913,0.97561,0.5]
f_measure
0.821086 [1,0.829268,0.923077,0.864865,0.717949,0.863636,0.634146,0.863636,1,0.514286]
f_measure
0.803371 [0.974359,0.651163,0.947368,0.829268,0.764706,0.837209,0.628571,0.851064,0.95,0.6]
f_measure
0.825053 [1,0.761905,0.9,0.894737,0.736842,0.85,0.682927,0.818182,0.974359,0.631579]
f_measure
0.806189 [0.974359,0.736842,0.97561,0.864865,0.65,0.857143,0.578947,0.869565,0.97561,0.578947]
f_measure
0.725837 [0.974359,0.653846,0.85,0.727273,0.769231,0.923077,0.315789,0.818182,0.918919,0.307692]
kappa
0.744444
kappa
0.744444
kappa
0.75
kappa
0.766667
kappa
0.716667
kappa
0.805556
kappa
0.783333
kappa
0.805556
kappa
0.788889
kappa
0.694444
kb_relative_information_score
155.864999
kb_relative_information_score
158.355409
kb_relative_information_score
160.465143
kb_relative_information_score
160.762066
kb_relative_information_score
150.403096
kb_relative_information_score
165.603592
kb_relative_information_score
162.278344
kb_relative_information_score
165.446555
kb_relative_information_score
164.994551
kb_relative_information_score
149.048635
mean_absolute_error
0.047288
mean_absolute_error
0.047048
mean_absolute_error
0.045775
mean_absolute_error
0.044246
mean_absolute_error
0.053506
mean_absolute_error
0.038897
mean_absolute_error
0.042672
mean_absolute_error
0.040126
mean_absolute_error
0.040977
mean_absolute_error
0.053323
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.77068 [1,0.666667,0.888889,1,0.727273,0.952381,0.3125,0.75,0.909091,0.5]
precision
0.771486 [1,0.652174,0.894737,0.894737,0.75,0.782609,0.55,0.714286,0.95,0.526316]
precision
0.783084 [1,0.62963,1,0.882353,0.73913,0.809524,0.555556,0.75,0.909091,0.555556]
precision
0.792365 [1,0.681818,1,0.904762,0.727273,0.863636,0.555556,0.714286,0.95,0.526316]
precision
0.7466 [1,0.611111,1,0.789474,0.666667,0.703704,0.526316,0.653846,0.952381,0.5625]
precision
0.823729 [1,0.809524,0.947368,0.941176,0.736842,0.791667,0.619048,0.791667,1,0.6]
precision
0.815347 [1,0.608696,1,0.809524,0.928571,0.782609,0.733333,0.740741,0.95,0.6]
precision
0.828283 [1,0.727273,0.9,0.944444,0.777778,0.85,0.666667,0.75,1,0.666667]
precision
0.808335 [1,0.777778,0.952381,0.941176,0.65,0.818182,0.611111,0.769231,0.952381,0.611111]
precision
0.744029 [1,0.53125,0.85,0.923077,0.789474,0.947368,0.333333,0.75,1,0.315789]
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.775
predictive_accuracy
0.79
predictive_accuracy
0.745
predictive_accuracy
0.825
predictive_accuracy
0.805
predictive_accuracy
0.825
predictive_accuracy
0.81
predictive_accuracy
0.725
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
recall
0.77 [0.95,0.9,0.8,0.75,0.8,1,0.25,0.75,1,0.5]
recall
0.77 [1,0.75,0.85,0.85,0.6,0.9,0.55,0.75,0.95,0.5]
recall
0.775 [0.85,0.85,0.85,0.75,0.85,0.85,0.5,0.75,1,0.5]
recall
0.79 [0.9,0.75,0.85,0.95,0.8,0.95,0.5,0.75,0.95,0.5]
recall
0.745 [1,0.55,0.8,0.75,0.6,0.95,0.5,0.85,1,0.45]
recall
0.825 [1,0.85,0.9,0.8,0.7,0.95,0.65,0.95,1,0.45]
recall
0.805 [0.95,0.7,0.9,0.85,0.65,0.9,0.55,1,0.95,0.6]
recall
0.825 [1,0.8,0.9,0.85,0.7,0.85,0.7,0.9,0.95,0.6]
recall
0.81 [0.95,0.7,1,0.8,0.65,0.9,0.55,1,1,0.55]
recall
0.725 [0.95,0.85,0.85,0.6,0.75,0.9,0.3,0.9,0.85,0.3]
relative_absolute_error
0.262713
relative_absolute_error
0.261378
relative_absolute_error
0.254306
relative_absolute_error
0.245814
relative_absolute_error
0.297254
relative_absolute_error
0.216096
relative_absolute_error
0.237068
relative_absolute_error
0.222923
relative_absolute_error
0.227651
relative_absolute_error
0.29624
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.194755
root_mean_squared_error
0.189062
root_mean_squared_error
0.178529
root_mean_squared_error
0.183018
root_mean_squared_error
0.203947
root_mean_squared_error
0.170149
root_mean_squared_error
0.179646
root_mean_squared_error
0.167311
root_mean_squared_error
0.169017
root_mean_squared_error
0.206778
root_relative_squared_error
0.649185
root_relative_squared_error
0.630207
root_relative_squared_error
0.595095
root_relative_squared_error
0.610061
root_relative_squared_error
0.679823
root_relative_squared_error
0.567163
root_relative_squared_error
0.598819
root_relative_squared_error
0.557704
root_relative_squared_error
0.563391
root_relative_squared_error
0.689259
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
760
usercpu_time_millis
410
usercpu_time_millis
210
usercpu_time_millis
230
usercpu_time_millis
220
usercpu_time_millis
240
usercpu_time_millis
330
usercpu_time_millis
220
usercpu_time_millis
190
usercpu_time_millis
190
usercpu_time_millis_testing
40
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
720
usercpu_time_millis_training
400
usercpu_time_millis_training
210
usercpu_time_millis_training
220
usercpu_time_millis_training
210
usercpu_time_millis_training
240
usercpu_time_millis_training
320
usercpu_time_millis_training
220
usercpu_time_millis_training
190
usercpu_time_millis_training
190