593848
2
Joaquin Vanschoren
14
Supervised Classification
4027
weka.FilteredClassifier_NaiveBayes(1)
6409
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.MultiFilter -F \"weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate \" -F \"weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\\\'T\\\'HH:mm:ss\" -F \"weka.filters.unsupervised.attribute.RemoveUseless -M 99.0\"" -W weka.classifiers.bayes.NaiveBayes
F
weka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate " -F "weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\'T\'HH:mm:ss" -F "weka.filters.unsupervised.attribute.RemoveUseless -M 99.0"
4027
W
weka.classifiers.bayes.NaiveBayes
4027
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
2058410
description
https://api.openml.org/data/download/2058410/weka_generated_run7060362611284883093.xml
-1
2058413
model_readable
https://api.openml.org/data/download/2058413/WekaModel_weka.classifiers.meta.FilteredClassifier573468664695819108.model
-1
2058412
model_serialized
https://api.openml.org/data/download/2058412/WekaSerialized_weka.classifiers.meta.FilteredClassifier1287676995212875394.model
-1
2058411
predictions
https://api.openml.org/data/download/2058411/weka_generated_predictions4894890055024936291.arff
area_under_roc_curve
0.955128 [0.99,0.925317,0.982214,0.965435,0.928899,0.984131,0.911981,0.962383,0.988931,0.911987]
average_cost
0
f_measure
0.760337 [0.966408,0.656904,0.904762,0.832,0.717557,0.868486,0.45953,0.801932,0.953086,0.442708]
kappa
0.732778
kb_relative_information_score
1546.169681
mean_absolute_error
0.048256
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.766949 [1,0.564748,0.960674,0.891429,0.73057,0.862069,0.480874,0.775701,0.941463,0.461957]
predictive_accuracy
0.7595
prior_entropy
3.321928
recall
0.7595 [0.935,0.785,0.855,0.78,0.705,0.875,0.44,0.83,0.965,0.425]
relative_absolute_error
0.268087
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.199245
root_relative_squared_error
0.664149
scimark_benchmark
901.457988 [561.3905944076963, 1011.2594872886406, 485.85602057287946, 908.6447170417716, 1540.1391222386262]
total_cost
0
usercpu_time_millis
410
usercpu_time_millis_testing
350
usercpu_time_millis_training
60
area_under_roc_curve
0.950042 [0.975,0.941111,0.994167,0.936667,0.930278,0.998889,0.851389,0.962222,0.995972,0.914722]
area_under_roc_curve
0.953556 [1,0.931944,0.971389,0.968056,0.888611,0.9925,0.939167,0.936111,0.974306,0.933472]
area_under_roc_curve
0.950153 [0.95,0.930833,0.997917,0.920972,0.948194,0.966667,0.906111,0.93875,0.996806,0.945278]
area_under_roc_curve
0.965319 [1,0.921111,0.997222,0.989722,0.978889,0.995833,0.929028,0.914444,0.973889,0.953056]
area_under_roc_curve
0.939292 [1,0.861389,0.970556,0.919167,0.926389,0.984583,0.889444,0.935833,1,0.905556]
area_under_roc_curve
0.960292 [1,0.923472,1,0.962639,0.937778,0.970694,0.912222,0.990833,1,0.905278]
area_under_roc_curve
0.958306 [1,0.901806,0.973056,0.990417,0.917222,0.965833,0.939167,0.986667,0.999722,0.909167]
area_under_roc_curve
0.975681 [1,0.957361,0.998611,0.993889,0.951389,0.994444,0.935278,0.989028,0.999722,0.937083]
area_under_roc_curve
0.965583 [1,0.92125,1,0.990278,0.927639,0.966111,0.955833,0.990556,1,0.904167]
area_under_roc_curve
0.938097 [0.975,0.964722,0.916944,0.985833,0.889861,0.999722,0.885278,0.983889,0.948889,0.830833]
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
0.71083 [0.947368,0.641509,0.820513,0.842105,0.810811,0.95,0.157895,0.685714,0.952381,0.3]
f_measure
0.75719 [1,0.638298,0.894737,0.923077,0.685714,0.829268,0.47619,0.780488,0.923077,0.421053]
f_measure
0.769997 [0.918919,0.576923,0.888889,0.702703,0.772727,0.894737,0.631579,0.75,0.952381,0.611111]
f_measure
0.779933 [0.918919,0.636364,0.888889,0.878049,0.744186,0.904762,0.611111,0.769231,0.883721,0.564103]
f_measure
0.726843 [1,0.595745,0.864865,0.777778,0.604651,0.790698,0.461538,0.809524,1,0.363636]
f_measure
0.748843 [0.974359,0.727273,1,0.8,0.65,0.878049,0.368421,0.844444,0.97561,0.27027]
f_measure
0.778326 [0.947368,0.697674,0.918919,0.857143,0.702703,0.809524,0.594595,0.818182,0.97561,0.461538]
f_measure
0.795391 [1,0.693878,0.923077,0.9,0.742857,0.842105,0.577778,0.829268,0.974359,0.470588]
f_measure
0.789867 [0.974359,0.666667,0.947368,0.857143,0.731707,0.842105,0.424242,0.883721,0.97561,0.595745]
f_measure
0.735848 [0.974359,0.703704,0.894737,0.75,0.736842,0.95,0.27027,0.818182,0.918919,0.341463]
kappa
0.677778
kappa
0.727778
kappa
0.738889
kappa
0.755556
kappa
0.7
kappa
0.727778
kappa
0.755556
kappa
0.772222
kappa
0.766667
kappa
0.705556
kb_relative_information_score
146.569624
kb_relative_information_score
156.137975
kb_relative_information_score
153.208391
kb_relative_information_score
154.841813
kb_relative_information_score
146.281856
kb_relative_information_score
156.087063
kb_relative_information_score
158.82362
kb_relative_information_score
164.734578
kb_relative_information_score
161.610314
kb_relative_information_score
147.874445
mean_absolute_error
0.055051
mean_absolute_error
0.048119
mean_absolute_error
0.050391
mean_absolute_error
0.047814
mean_absolute_error
0.054815
mean_absolute_error
0.046533
mean_absolute_error
0.044745
mean_absolute_error
0.039255
mean_absolute_error
0.042662
mean_absolute_error
0.053174
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
0.725426 [1,0.515152,0.842105,0.888889,0.882353,0.95,0.166667,0.8,0.909091,0.3]
precision
0.766516 [1,0.555556,0.944444,0.947368,0.8,0.809524,0.454545,0.761905,0.947368,0.444444]
precision
0.789949 [1,0.46875,1,0.764706,0.708333,0.944444,0.666667,0.75,0.909091,0.6875]
precision
0.788177 [1,0.583333,1,0.857143,0.695652,0.863636,0.6875,0.789474,0.826087,0.578947]
precision
0.734699 [1,0.518519,0.941176,0.875,0.565217,0.73913,0.473684,0.772727,1,0.461538]
precision
0.750253 [1,0.666667,1,0.933333,0.65,0.857143,0.388889,0.76,0.952381,0.294118]
precision
0.783091 [1,0.652174,1,0.818182,0.764706,0.772727,0.647059,0.75,0.952381,0.473684]
precision
0.809008 [1,0.586207,0.947368,0.9,0.866667,0.888889,0.52,0.809524,1,0.571429]
precision
0.803862 [1,0.6,1,1,0.714286,0.888889,0.538462,0.826087,0.952381,0.518519]
precision
0.76085 [1,0.558824,0.944444,1,0.777778,0.95,0.294118,0.75,1,0.333333]
predictive_accuracy
0.71
predictive_accuracy
0.755
predictive_accuracy
0.765
predictive_accuracy
0.78
predictive_accuracy
0.73
predictive_accuracy
0.755
predictive_accuracy
0.78
predictive_accuracy
0.795
predictive_accuracy
0.79
predictive_accuracy
0.735
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
0.71 [0.9,0.85,0.8,0.8,0.75,0.95,0.15,0.6,1,0.3]
recall
0.755 [1,0.75,0.85,0.9,0.6,0.85,0.5,0.8,0.9,0.4]
recall
0.765 [0.85,0.75,0.8,0.65,0.85,0.85,0.6,0.75,1,0.55]
recall
0.78 [0.85,0.7,0.8,0.9,0.8,0.95,0.55,0.75,0.95,0.55]
recall
0.73 [1,0.7,0.8,0.7,0.65,0.85,0.45,0.85,1,0.3]
recall
0.755 [0.95,0.8,1,0.7,0.65,0.9,0.35,0.95,1,0.25]
recall
0.78 [0.9,0.75,0.85,0.9,0.65,0.85,0.55,0.9,1,0.45]
recall
0.795 [1,0.85,0.9,0.9,0.65,0.8,0.65,0.85,0.95,0.4]
recall
0.79 [0.95,0.75,0.9,0.75,0.75,0.8,0.35,0.95,1,0.7]
recall
0.735 [0.95,0.95,0.85,0.6,0.7,0.95,0.25,0.9,0.85,0.35]
relative_absolute_error
0.305839
relative_absolute_error
0.267329
relative_absolute_error
0.279949
relative_absolute_error
0.265631
relative_absolute_error
0.304526
relative_absolute_error
0.258514
relative_absolute_error
0.248585
relative_absolute_error
0.218082
relative_absolute_error
0.237009
relative_absolute_error
0.29541
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
0.216865
root_mean_squared_error
0.194945
root_mean_squared_error
0.201399
root_mean_squared_error
0.195948
root_mean_squared_error
0.218611
root_mean_squared_error
0.197053
root_mean_squared_error
0.189884
root_mean_squared_error
0.17636
root_mean_squared_error
0.181378
root_mean_squared_error
0.215212
root_relative_squared_error
0.722883
root_relative_squared_error
0.649817
root_relative_squared_error
0.671329
root_relative_squared_error
0.653161
root_relative_squared_error
0.728702
root_relative_squared_error
0.656842
root_relative_squared_error
0.632946
root_relative_squared_error
0.587867
root_relative_squared_error
0.604594
root_relative_squared_error
0.717375
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
90
usercpu_time_millis
150
usercpu_time_millis
150
usercpu_time_millis
150
usercpu_time_millis
150
usercpu_time_millis
110
usercpu_time_millis
100
usercpu_time_millis
100
usercpu_time_millis
90
usercpu_time_millis
100
usercpu_time_millis_testing
30
usercpu_time_millis_testing
60
usercpu_time_millis_testing
60
usercpu_time_millis_testing
60
usercpu_time_millis_testing
50
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_training
60
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
100
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
60