578716
1
Jan van Rijn
14
Supervised Classification
2264
weka.LADTree(7)
2900
weka.classifiers.trees.LADTree -- -B 10
B
10
2264
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
1997637
description
https://api.openml.org/data/download/1997637/weka_generated_run7713170359364953649.xml
-1
1997639
model_readable
https://api.openml.org/data/download/1997639/WekaModel_weka.classifiers.trees.LADTree9215897063133217965.model
-1
1997638
model_serialized
https://api.openml.org/data/download/1997638/WekaSerialized_weka.classifiers.trees.LADTree4791440975159265392.model
-1
1997640
predictions
https://api.openml.org/data/download/1997640/weka_generated_predictions3705373741679148200.arff
area_under_roc_curve
0.956073 [0.999872,0.904651,0.982286,0.963511,0.935224,0.972757,0.932981,0.974714,0.983407,0.911326]
average_cost
0
f_measure
0.734896 [0.985149,0.630728,0.893827,0.786571,0.680412,0.818627,0.519824,0.825175,0.896725,0.311927]
kappa
0.713333
kb_relative_information_score
1438.129106
mean_absolute_error
0.075413
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
0.734602 [0.97549,0.684211,0.882927,0.75576,0.702128,0.802885,0.464567,0.772926,0.903553,0.401575]
predictive_accuracy
0.742
prior_entropy
3.321928
recall
0.742 [0.995,0.585,0.905,0.82,0.66,0.835,0.59,0.885,0.89,0.255]
relative_absolute_error
0.41896
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.188641
root_relative_squared_error
0.628805
scimark_benchmark
1316.83104 [756.7204292769896, 927.982159410278, 523.5210931695227, 1254.2775634715342, 3121.6539538930647]
total_cost
0
usercpu_time_millis
6110
usercpu_time_millis_testing
0
usercpu_time_millis_training
6110
area_under_roc_curve
0.948861 [1,0.871806,0.973056,0.975694,0.907639,0.999167,0.889722,0.965972,0.99125,0.914306]
area_under_roc_curve
0.957111 [1,0.9325,0.991806,0.974028,0.883056,0.953472,0.948611,0.974306,0.993611,0.919722]
area_under_roc_curve
0.951861 [1,0.884861,0.993889,0.926389,0.972222,0.971528,0.93125,0.931111,0.998889,0.908472]
area_under_roc_curve
0.951417 [0.998611,0.872222,0.983056,0.954167,0.964028,0.96875,0.959306,0.975833,0.97625,0.861944]
area_under_roc_curve
0.955389 [1,0.885417,0.956944,0.976111,0.933472,0.98125,0.936111,0.987083,0.994583,0.902917]
area_under_roc_curve
0.96425 [1,0.945417,0.996667,0.938611,0.950556,0.965972,0.94125,0.985972,0.984306,0.93375]
area_under_roc_curve
0.96375 [1,0.919306,0.967778,0.979583,0.979028,0.96,0.964444,0.978056,0.998333,0.890972]
area_under_roc_curve
0.958694 [1,0.892639,0.996528,0.976389,0.941111,0.972222,0.94125,0.988889,0.942778,0.935139]
area_under_roc_curve
0.964056 [1,0.915694,0.997778,0.988889,0.922361,0.969861,0.940278,0.988056,0.996944,0.920694]
area_under_roc_curve
0.957083 [1,0.945556,0.966389,0.964583,0.93,0.985694,0.898056,0.995556,0.947917,0.937083]
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
0.674663 [0.97561,0.512821,0.844444,0.717949,0.682927,0.947368,0.27907,0.756757,0.871795,0.157895]
f_measure
0.713487 [1,0.705882,0.871795,0.772727,0.611111,0.75,0.592593,0.782609,0.9,0.148148]
f_measure
0.772535 [0.97561,0.684211,0.894737,0.780488,0.790698,0.780488,0.622222,0.8,0.930233,0.466667]
f_measure
0.72556 [0.974359,0.5625,0.85,0.755556,0.680851,0.789474,0.457143,0.857143,0.9,0.428571]
f_measure
0.693895 [1,0.6,0.923077,0.8,0.424242,0.755556,0.421053,0.790698,0.9,0.324324]
f_measure
0.702874 [1,0.514286,0.95,0.7,0.634146,0.837209,0.342857,0.818182,0.863636,0.368421]
f_measure
0.764817 [1,0.631579,0.85,0.9,0.810811,0.837209,0.64,0.761905,0.95,0.266667]
f_measure
0.739428 [1,0.619048,0.952381,0.761905,0.722222,0.8,0.62963,0.909091,0.833333,0.166667]
f_measure
0.775242 [1,0.742857,0.95,0.863636,0.588235,0.8,0.6,0.833333,0.974359,0.4]
f_measure
0.760117 [0.930233,0.736842,0.857143,0.810811,0.8,0.9,0.48,0.930233,0.833333,0.322581]
kappa
0.638889
kappa
0.7
kappa
0.755556
kappa
0.7
kappa
0.672222
kappa
0.683333
kappa
0.75
kappa
0.733333
kappa
0.761111
kappa
0.738889
kb_relative_information_score
139.273322
kb_relative_information_score
143.155257
kb_relative_information_score
143.424104
kb_relative_information_score
140.974521
kb_relative_information_score
139.158601
kb_relative_information_score
147.041114
kb_relative_information_score
147.878748
kb_relative_information_score
144.916855
kb_relative_information_score
146.569861
kb_relative_information_score
145.736723
mean_absolute_error
0.080364
mean_absolute_error
0.077024
mean_absolute_error
0.076296
mean_absolute_error
0.077184
mean_absolute_error
0.077154
mean_absolute_error
0.070928
mean_absolute_error
0.070225
mean_absolute_error
0.075906
mean_absolute_error
0.074593
mean_absolute_error
0.074453
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
0.678801 [0.952381,0.526316,0.76,0.736842,0.666667,1,0.26087,0.823529,0.894737,0.166667]
precision
0.724632 [1,0.857143,0.894737,0.708333,0.6875,0.75,0.470588,0.692308,0.9,0.285714]
precision
0.781155 [0.952381,0.722222,0.944444,0.761905,0.73913,0.761905,0.56,0.8,0.869565,0.7]
precision
0.736653 [1,0.75,0.85,0.68,0.592593,0.833333,0.533333,0.818182,0.9,0.409091]
precision
0.692235 [1,0.6,0.947368,0.72,0.538462,0.68,0.444444,0.73913,0.9,0.352941]
precision
0.698221 [1,0.6,0.95,0.7,0.619048,0.782609,0.4,0.75,0.791667,0.388889]
precision
0.769223 [1,0.666667,0.85,0.9,0.882353,0.782609,0.533333,0.727273,0.95,0.4]
precision
0.761061 [1,0.590909,0.909091,0.727273,0.8125,0.8,0.5,0.833333,0.9375,0.5]
precision
0.79369 [1,0.866667,0.95,0.791667,0.714286,0.8,0.5,0.714286,1,0.6]
precision
0.770949 [0.869565,0.777778,0.818182,0.882353,0.8,0.9,0.4,0.869565,0.9375,0.454545]
predictive_accuracy
0.675
predictive_accuracy
0.73
predictive_accuracy
0.78
predictive_accuracy
0.73
predictive_accuracy
0.705
predictive_accuracy
0.715
predictive_accuracy
0.775
predictive_accuracy
0.76
predictive_accuracy
0.785
predictive_accuracy
0.765
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
0.675 [1,0.5,0.95,0.7,0.7,0.9,0.3,0.7,0.85,0.15]
recall
0.73 [1,0.6,0.85,0.85,0.55,0.75,0.8,0.9,0.9,0.1]
recall
0.78 [1,0.65,0.85,0.8,0.85,0.8,0.7,0.8,1,0.35]
recall
0.73 [0.95,0.45,0.85,0.85,0.8,0.75,0.4,0.9,0.9,0.45]
recall
0.705 [1,0.6,0.9,0.9,0.35,0.85,0.4,0.85,0.9,0.3]
recall
0.715 [1,0.45,0.95,0.7,0.65,0.9,0.3,0.9,0.95,0.35]
recall
0.775 [1,0.6,0.85,0.9,0.75,0.9,0.8,0.8,0.95,0.2]
recall
0.76 [1,0.65,1,0.8,0.65,0.8,0.85,1,0.75,0.1]
recall
0.785 [1,0.65,0.95,0.95,0.5,0.8,0.75,1,0.95,0.3]
recall
0.765 [1,0.7,0.9,0.75,0.8,0.9,0.6,1,0.75,0.25]
relative_absolute_error
0.446469
relative_absolute_error
0.427911
relative_absolute_error
0.423866
relative_absolute_error
0.428802
relative_absolute_error
0.428632
relative_absolute_error
0.394046
relative_absolute_error
0.390141
relative_absolute_error
0.4217
relative_absolute_error
0.414406
relative_absolute_error
0.413628
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
0.198773
root_mean_squared_error
0.193719
root_mean_squared_error
0.19075
root_mean_squared_error
0.193741
root_mean_squared_error
0.195687
root_mean_squared_error
0.182867
root_mean_squared_error
0.181549
root_mean_squared_error
0.186147
root_mean_squared_error
0.180672
root_mean_squared_error
0.181411
root_relative_squared_error
0.662577
root_relative_squared_error
0.64573
root_relative_squared_error
0.635835
root_relative_squared_error
0.645804
root_relative_squared_error
0.65229
root_relative_squared_error
0.609556
root_relative_squared_error
0.605163
root_relative_squared_error
0.620492
root_relative_squared_error
0.602238
root_relative_squared_error
0.604704
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
5760
usercpu_time_millis
6170
usercpu_time_millis
5930
usercpu_time_millis
5970
usercpu_time_millis
5980
usercpu_time_millis
6060
usercpu_time_millis
5990
usercpu_time_millis
5940
usercpu_time_millis
5810
usercpu_time_millis
5580
usercpu_time_millis_testing
0
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_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
5760
usercpu_time_millis_training
6170
usercpu_time_millis_training
5920
usercpu_time_millis_training
5970
usercpu_time_millis_training
5980
usercpu_time_millis_training
6060
usercpu_time_millis_training
5980
usercpu_time_millis_training
5940
usercpu_time_millis_training
5810
usercpu_time_millis_training
5580