575970
1
Jan van Rijn
14
Supervised Classification
3911
weka.AttributeSelectedClassifier_AdaBoostM1_J48(1)
6257
weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1720
M
2
1720
E
weka.attributeSelection.CfsSubsetEval -P 1 -E 1
3911
S
weka.attributeSelection.BestFirst -D 1 -N 5
3911
W
weka.classifiers.meta.AdaBoostM1
3911
P
100
3912
S
1
3912
I
10
3912
W
weka.classifiers.trees.J48
3912
study_70
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
1986742
description
https://www.openml.org/data/download/1986742/weka_generated_run9130567281348466339.xml
-1
1986744
model_readable
https://www.openml.org/data/download/1986744/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier561366771611247483.model
-1
1986743
model_serialized
https://www.openml.org/data/download/1986743/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier6567402183430028463.model
-1
1986745
predictions
https://www.openml.org/data/download/1986745/weka_generated_predictions4933793596732929193.arff
area_under_roc_curve
0.965492 [0.999935,0.946065,0.989751,0.975581,0.95951,0.984411,0.905618,0.986692,0.996032,0.911328]
average_cost
0
f_measure
0.834692 [0.995,0.809045,0.947631,0.882051,0.78866,0.898263,0.590571,0.885167,0.962594,0.58794]
kappa
0.816667
kb_relative_information_score
1671.614416
mean_absolute_error
0.033381
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
0.835006 [0.995,0.813131,0.945274,0.905263,0.81383,0.891626,0.586207,0.848624,0.960199,0.590909]
predictive_accuracy
0.835
prior_entropy
3.321928
recall
0.835 [0.995,0.805,0.95,0.86,0.765,0.905,0.595,0.925,0.965,0.585]
relative_absolute_error
0.185448
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.173323
root_relative_squared_error
0.577744
scimark_benchmark
1462.319312 [821.9794822199036, 990.7223424342134, 530.1119687265572, 1354.3994454054687, 3614.3833215767672]
total_cost
0
usercpu_time_millis
4740
usercpu_time_millis_testing
30
usercpu_time_millis_training
4710
area_under_roc_curve
0.964681 [1,0.988333,0.969028,0.990833,0.949306,1,0.845278,0.994722,0.999444,0.909861]
area_under_roc_curve
0.957056 [0.999722,0.955139,0.998611,0.968056,0.906528,0.989444,0.846667,0.966667,0.999722,0.94]
area_under_roc_curve
0.963944 [1,0.984028,0.998611,0.9675,0.962639,0.966944,0.87125,0.958472,1,0.93]
area_under_roc_curve
0.975625 [1,0.956528,0.971944,0.995833,0.983611,0.941667,0.963056,0.993611,1,0.95]
area_under_roc_curve
0.961347 [1,0.893611,0.995556,0.965694,0.960278,0.990833,0.921528,0.988056,1,0.897917]
area_under_roc_curve
0.97225 [1,0.962222,1,0.967361,0.987222,0.998056,0.935139,0.995556,0.998611,0.878333]
area_under_roc_curve
0.973597 [1,0.937222,0.972222,0.998333,0.962778,0.993056,0.955694,0.993056,1,0.923611]
area_under_roc_curve
0.959667 [1,0.901944,0.998889,0.940833,0.965278,0.996944,0.909167,0.991667,0.970417,0.921528]
area_under_roc_curve
0.975292 [1,0.94,1,0.995,0.988333,0.969028,0.952778,0.99625,1,0.911528]
area_under_roc_curve
0.949847 [1,0.938056,0.991528,0.969167,0.929861,0.999444,0.843194,0.992778,0.992222,0.842222]
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
0.837476 [1,0.829268,0.926829,0.888889,0.731707,1,0.585366,0.904762,0.952381,0.555556]
f_measure
0.799498 [0.974359,0.810811,0.952381,0.810811,0.717949,0.837209,0.55,0.878049,0.97561,0.487805]
f_measure
0.835112 [1,0.818182,0.923077,0.864865,0.829268,0.923077,0.5,0.864865,0.97561,0.652174]
f_measure
0.844636 [1,0.820513,0.947368,0.952381,0.772727,0.871795,0.631579,0.85,1,0.6]
f_measure
0.792116 [1,0.631579,0.947368,0.837209,0.756757,0.809524,0.540541,0.837209,0.97561,0.585366]
f_measure
0.822962 [1,0.85,0.952381,0.842105,0.769231,0.926829,0.612245,0.926829,0.95,0.4]
f_measure
0.879204 [1,0.829268,0.947368,0.9,0.857143,0.904762,0.761905,0.888889,1,0.702703]
f_measure
0.849213 [1,0.75,0.97561,0.871795,0.810811,0.9,0.684211,0.883721,0.871795,0.744186]
f_measure
0.866194 [1,0.864865,1,0.95,0.833333,0.9,0.604651,0.909091,1,0.6]
f_measure
0.812653 [0.97561,0.878049,0.904762,0.894737,0.820513,0.918919,0.410256,0.904762,0.918919,0.5]
kappa
0.822222
kappa
0.777778
kappa
0.816667
kappa
0.827778
kappa
0.772222
kappa
0.811111
kappa
0.866667
kappa
0.833333
kappa
0.85
kappa
0.788889
kb_relative_information_score
166.222336
kb_relative_information_score
163.15609
kb_relative_information_score
166.641345
kb_relative_information_score
169.606059
kb_relative_information_score
161.18521
kb_relative_information_score
165.215851
kb_relative_information_score
175.077626
kb_relative_information_score
170.573291
kb_relative_information_score
173.443237
kb_relative_information_score
160.493372
mean_absolute_error
0.033868
mean_absolute_error
0.037987
mean_absolute_error
0.034203
mean_absolute_error
0.031601
mean_absolute_error
0.039037
mean_absolute_error
0.034656
mean_absolute_error
0.024963
mean_absolute_error
0.030517
mean_absolute_error
0.027529
mean_absolute_error
0.039446
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
0.839773 [1,0.809524,0.904762,1,0.714286,1,0.571429,0.863636,0.909091,0.625]
precision
0.802896 [1,0.882353,0.909091,0.882353,0.736842,0.782609,0.55,0.857143,0.952381,0.47619]
precision
0.842842 [1,0.75,0.947368,0.941176,0.809524,0.947368,0.5625,0.941176,0.952381,0.576923]
precision
0.847093 [1,0.842105,1,0.909091,0.708333,0.894737,0.666667,0.85,1,0.6]
precision
0.794019 [1,0.666667,1,0.782609,0.823529,0.772727,0.588235,0.782609,0.952381,0.571429]
precision
0.831422 [1,0.85,0.909091,0.888889,0.789474,0.904762,0.517241,0.904762,0.95,0.6]
precision
0.886514 [1,0.809524,1,0.9,1,0.863636,0.727273,0.8,1,0.764706]
precision
0.851817 [1,0.75,0.952381,0.894737,0.882353,0.9,0.722222,0.826087,0.894737,0.695652]
precision
0.872723 [1,0.941176,1,0.95,0.9375,0.9,0.565217,0.833333,1,0.6]
precision
0.820273 [0.952381,0.857143,0.863636,0.944444,0.842105,1,0.421053,0.863636,1,0.458333]
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.835
predictive_accuracy
0.845
predictive_accuracy
0.795
predictive_accuracy
0.83
predictive_accuracy
0.88
predictive_accuracy
0.85
predictive_accuracy
0.865
predictive_accuracy
0.81
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
0.84 [1,0.85,0.95,0.8,0.75,1,0.6,0.95,1,0.5]
recall
0.8 [0.95,0.75,1,0.75,0.7,0.9,0.55,0.9,1,0.5]
recall
0.835 [1,0.9,0.9,0.8,0.85,0.9,0.45,0.8,1,0.75]
recall
0.845 [1,0.8,0.9,1,0.85,0.85,0.6,0.85,1,0.6]
recall
0.795 [1,0.6,0.9,0.9,0.7,0.85,0.5,0.9,1,0.6]
recall
0.83 [1,0.85,1,0.8,0.75,0.95,0.75,0.95,0.95,0.3]
recall
0.88 [1,0.85,0.9,0.9,0.75,0.95,0.8,1,1,0.65]
recall
0.85 [1,0.75,1,0.85,0.75,0.9,0.65,0.95,0.85,0.8]
recall
0.865 [1,0.8,1,0.95,0.75,0.9,0.65,1,1,0.6]
recall
0.81 [1,0.9,0.95,0.85,0.8,0.85,0.4,0.95,0.85,0.55]
relative_absolute_error
0.188154
relative_absolute_error
0.21104
relative_absolute_error
0.190017
relative_absolute_error
0.175561
relative_absolute_error
0.216871
relative_absolute_error
0.192533
relative_absolute_error
0.138683
relative_absolute_error
0.169539
relative_absolute_error
0.15294
relative_absolute_error
0.219146
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
0.175847
root_mean_squared_error
0.184677
root_mean_squared_error
0.175074
root_mean_squared_error
0.166606
root_mean_squared_error
0.189322
root_mean_squared_error
0.177391
root_mean_squared_error
0.150852
root_mean_squared_error
0.163176
root_mean_squared_error
0.15514
root_mean_squared_error
0.190294
root_relative_squared_error
0.586155
root_relative_squared_error
0.615589
root_relative_squared_error
0.583579
root_relative_squared_error
0.555352
root_relative_squared_error
0.631074
root_relative_squared_error
0.591303
root_relative_squared_error
0.502839
root_relative_squared_error
0.543921
root_relative_squared_error
0.517132
root_relative_squared_error
0.634313
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
5010
usercpu_time_millis
4100
usercpu_time_millis
4740
usercpu_time_millis
4300
usercpu_time_millis
4060
usercpu_time_millis
4010
usercpu_time_millis
3830
usercpu_time_millis
3830
usercpu_time_millis
3990
usercpu_time_millis
4130
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
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_testing
10
usercpu_time_millis_training
5000
usercpu_time_millis_training
4090
usercpu_time_millis_training
4730
usercpu_time_millis_training
4290
usercpu_time_millis_training
4060
usercpu_time_millis_training
4000
usercpu_time_millis_training
3830
usercpu_time_millis_training
3830
usercpu_time_millis_training
3990
usercpu_time_millis_training
4120