2040454
2742
Wouter Nuijten
145682
Supervised Classification
area_under_roc_curve
5921
weka.Bagging_J48(9)
181175
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 100 -W weka.classifiers.trees.J48 -- -C 0.5 -M 3
C
0.5
5886
M
3
5886
P
100
5921
S
1
5921
num-slots
1
5921
I
100
5921
W
weka.classifiers.trees.J48
5921
weka
weka_3.8.1
313
spectrometer
https://www.openml.org/data/download/52217/phpHNcI2h
-1
5030781
description
https://api.openml.org/data/download/5030781/weka_generated_run6765789216259928558.xml
-1
5030783
model_readable
https://api.openml.org/data/download/5030783/WekaModel_weka.classifiers.meta.Bagging2629262568305730519.model
-1
5030782
model_serialized
https://api.openml.org/data/download/5030782/WekaSerialized_weka.classifiers.meta.Bagging4162415968411828501.model
-1
5030784
predictions
https://api.openml.org/data/download/5030784/weka_generated_predictions3612646593277890141.arff
area_under_roc_curve
0.946229 [0.699811,0.424528,0.806025,0.403774,0.983932,0.926768,0.98714,0.987015,0.967478,0.990848,0.999315,0.917054,0.949074,0.951032,0.961349,0.928351,0.957818,0.940092,0.950044,0.990336,0.975521,0.976775,0.976755,0.99241,0.972854,0.438679,0.427358,0.995581,0.993056,0.884321,0.974851,0.9318,0.985705,0.995817,0.430189,0.688563,0.361321,0.382075,0.421698,0.992424,0.994318,0.91966,0.427358,0.428302,0.987374,0.421698,0.424528,0.433962]
average_cost
0
f_measure
0.543817 [0,0,0,0,0,0,0.526316,0.830189,0.75,0.769231,0.943396,0.466667,0.566667,0.492308,0.444444,0.363636,0.508475,0.434783,0.516129,0.8,0.545455,0.416667,0,0.363636,0,0,0,0.571429,0,0,0.764706,0.473684,0.648649,0,0,0,0,0,0,0.333333,0.4,0,0,0,0.333333,0,0,0]
kappa
0.543758
kb_relative_information_score
305.061175
mean_absolute_error
0.024982
mean_prior_absolute_error
0.039641
number_of_instances
531 [3,1,7,1,2,3,10,24,13,12,26,15,27,31,19,19,30,35,42,55,9,10,4,4,3,1,1,3,3,8,45,20,18,5,1,2,1,1,1,3,3,2,1,1,3,1,1,1]
precision
0.527385 [0,0,0,0,0,0,0.555556,0.758621,0.818182,0.714286,0.925926,0.466667,0.515152,0.470588,0.470588,0.428571,0.517241,0.441176,0.470588,0.8,0.461538,0.357143,0,0.285714,0,0,0,0.5,0,0,0.684211,0.5,0.631579,0,0,0,0,0,0,0.333333,0.5,0,0,0,0.222222,0,0,0]
predictive_accuracy
0.568738
prior_entropy
4.846691
recall
0.568738 [0,0,0,0,0,0,0.5,0.916667,0.692308,0.833333,0.961538,0.466667,0.62963,0.516129,0.421053,0.315789,0.5,0.428571,0.571429,0.8,0.666667,0.5,0,0.5,0,0,0,0.666667,0,0,0.866667,0.45,0.666667,0,0,0,0,0,0,0.333333,0.333333,0,0,0,0.666667,0,0,0]
relative_absolute_error
0.630204
root_mean_prior_squared_error
0.140616
root_mean_squared_error
0.108606
root_relative_squared_error
0.772359
total_cost
0
area_under_roc_curve
0.949487 [0.0,0.0,0.943396,0.0,0.0,1,0.981132,1,0.924528,1,1,0.961538,0.986928,0.960784,0.971154,0.980769,1,0.955,0.93,1,0.981132,1,0.0,1,0.0,0.0,0.0,0.0,0.0,0.811321,0.991837,0.980769,1,0.0,0.5,0.0,0.0,0.0,0.5,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5]
area_under_roc_curve
0.934477 [0.0,0.0,0.788462,0.5,1,0.923077,1,1,1,1,1,0.980392,0.98,0.913333,0.872549,1,0.96,0.943878,0.959184,0.975,0.923077,1,0.0,0.980769,0.0,0.5,0.0,0.0,0.0,0.903846,1,0.627451,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.956651 [0.0,0.0,0.923077,0.0,0.980769,0.0,0.980769,1,1,1,1,0.607843,0.806667,0.98,1,0.970588,0.966667,0.973333,0.97449,0.985816,0.980769,0.980769,0.0,1,0.0,0.0,0.0,1,0.0,1,1,0.901961,0.970588,0.980769,0.0,0.0,0.0,0.0,0.0,0.0,0.980769,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.981518 [0.0,0.0,1,0.0,0.0,0.0,1,1,1,1,1,1,0.993333,0.953333,0.960784,0.95098,0.953333,0.946667,0.943878,0.996454,1,1,1,0.980769,0.0,0.0,0.0,1,0.0,0.942308,0.994898,1,1,1,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.944328 [0.0,0.5,0.163462,0.0,0.0,0.0,0.980769,1,0.921569,1,1,0.931373,0.980392,0.98,0.960784,0.923077,0.94,0.96,0.994898,0.996454,1,0.923077,1,0.0,0.0,0.0,0.0,1,0.0,0.615385,0.94898,0.990196,0.980769,1,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0]
area_under_roc_curve
0.963657 [0.0,0.0,1,0.0,0.0,0.0,0.980769,1,1,1,1,1,1,0.973333,0.980392,0.941176,0.966667,0.886667,0.908163,0.978723,0.942308,1,1,0.0,0.0,0.0,0.0,0.0,1,0.923077,0.959184,0.911765,0.970588,0.961538,0.0,0.836538,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0]
area_under_roc_curve
0.964773 [0.0,0.0,0.980769,0.0,0.0,0.0,1,1,0.843137,1,1,1,0.990196,0.96,1,0.852941,0.94,0.933333,0.908163,0.992908,0.0,0.961538,0.980769,0.0,0.0,0.0,0.0,0.0,1,0.0,0.995833,0.980392,0.990196,1,0.0,0.865385,0.0,0.0,0.0,0.0,0.0,0.961538,0.0,0.0,1,0.0,0.0,0.0]
area_under_roc_curve
0.943184 [1,0.0,0.0,0.0,0.0,0.0,1,0.892157,1,1,1,0.961538,0.973333,0.918367,0.901961,0.95098,0.946667,0.887755,0.9625,1,1,0.980769,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.975,1,0.990196,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.903846,0.5,0.0,0.0,0.0,0.5,0.0]
area_under_roc_curve
0.940853 [0.942308,0.0,0.0,0.0,0.0,0.0,1,1,1,0.980392,1,0.980769,0.96,0.893333,1,0.970588,0.92,0.954082,0.975,0.9875,1,1,0.0,0.0,1,0.0,0.0,0.0,0.0,0.903846,0.9375,1,1,0.0,0.0,0.0,0.5,0.0,0.0,1,0.0,0.0,0.0,0.5,0.0,0.5,0.0,0.0]
area_under_roc_curve
0.932532 [0.336538,0.0,0.0,0.0,0.0,0.942308,0.980769,0.970588,1,1,1,0.923077,0.92,0.973333,0.990196,0.803922,0.953333,0.938776,0.964286,0.9875,1,0.980769,0.0,0.0,0.961538,0.0,0.5,0.0,0.0,0.942308,0.975,0.941176,0.990196,0.0,0.0,0.0,0.0,0.5,0.0,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
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
average_cost
0
f_measure
0.499267 [0,0,0,0,0,0,0.666667,0.666667,0,0.666667,1,0,0.666667,0.571429,0,0.666667,0.8,0.444444,0.444444,0.888889,0.666667,0,0,0,0,0,0,0,0,0,0.769231,0,0.666667,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
f_measure
0.460108 [0,0,0,0,0,0,0,0.666667,0,1,1,0.5,0.666667,0.5,0,0.8,0.4,0.571429,0.6,0.666667,0,0,0,0,0,0,0,0,0,0,0.6,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.56917 [0,0,0,0,0,0,0.666667,0.8,1,1,0.857143,0,0.333333,0.571429,1,0.5,0.666667,0.75,0.5,0.727273,0,0,0,1,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
f_measure
0.62956 [0,0,0,0,0,0,1,1,1,0.666667,0.8,0.8,0.857143,0.4,0.4,0,0.8,0.4,0.4,0.833333,1,0.5,0,1,0,0,0,1,0,0,0.857143,0.666667,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.567662 [0,0,0,0,0,0,1,1,0.666667,1,1,0,0.5,0.5,0,0,0.333333,0.571429,0.666667,0.923077,0.666667,0,0,0,0,0,0,1,0,0,0.666667,0.666667,0.666667,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0]
f_measure
0.449449 [0,0,0,0,0,0,0,1,0.8,0,1,1,0.8,0.444444,0,0,0.571429,0,0.5,0.727273,0,0.666667,0,0,0,0,0,0,0,0,0.6,0,0.571429,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.515813 [0,0,0,0,0,0,0,0.857143,0.666667,1,1,1,0.666667,0.333333,0.666667,0,0.571429,0,0.4,0.714286,0,0,0,0,0,0,0,0,0,0,0.833333,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0]
f_measure
0.504422 [0,0,0,0,0,0,0,0.666667,0.666667,1,1,0.5,0,0.285714,0.4,0.5,0.285714,0.222222,0.5,0.909091,1,1,0,0,0,0,0,0,0,0,0.833333,0.666667,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.5792 [0,0,0,0,0,0,0.666667,1,1,0.5,0.8,1,0.571429,0.4,1,0,0.333333,0.666667,0.6,0.8,1,0.5,0,0,0,0,0,0,0,0,0.75,0.8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.548068 [0,0,0,0,0,0,0,0.5,1,0.8,1,0,0.4,0.857143,0.8,0.666667,0.4,0.285714,0.6,0.8,0.666667,1,0,0,0,0,0,0,0,0,0.8,0.5,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
kappa
0.510515
kappa
0.461828
kappa
0.581736
kappa
0.641084
kappa
0.581107
kappa
0.499244
kappa
0.536854
kappa
0.500377
kappa
0.581893
kappa
0.542246
kb_relative_information_score
30.880864
kb_relative_information_score
27.369361
kb_relative_information_score
32.622955
kb_relative_information_score
35.377053
kb_relative_information_score
31.11008
kb_relative_information_score
31.111115
kb_relative_information_score
31.047959
kb_relative_information_score
28.56919
kb_relative_information_score
29.105135
kb_relative_information_score
27.867463
mean_absolute_error
0.025696
mean_absolute_error
0.026572
mean_absolute_error
0.024094
mean_absolute_error
0.022478
mean_absolute_error
0.023899
mean_absolute_error
0.024663
mean_absolute_error
0.02462
mean_absolute_error
0.026219
mean_absolute_error
0.024772
mean_absolute_error
0.026797
mean_prior_absolute_error
0.039681
mean_prior_absolute_error
0.039673
mean_prior_absolute_error
0.039638
mean_prior_absolute_error
0.039627
mean_prior_absolute_error
0.039672
mean_prior_absolute_error
0.039645
mean_prior_absolute_error
0.039604
mean_prior_absolute_error
0.039587
mean_prior_absolute_error
0.039629
mean_prior_absolute_error
0.039657
number_of_instances
54 [0,0,1,0,0,1,1,2,1,1,2,2,3,3,2,2,3,4,4,5,1,1,0,1,0,0,0,0,0,1,5,2,2,0,1,0,0,0,1,1,0,0,0,0,0,0,0,1]
number_of_instances
53 [0,0,1,1,1,1,1,2,1,1,3,2,3,3,2,2,3,4,4,5,1,1,0,1,0,1,0,0,0,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
number_of_instances
53 [0,0,1,0,1,0,1,2,1,1,3,2,3,3,2,2,3,3,4,6,1,1,0,1,0,0,0,1,0,1,4,2,2,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
number_of_instances
53 [0,0,1,0,0,0,1,3,1,1,3,2,3,3,2,2,3,3,4,6,1,1,1,1,0,0,0,1,0,1,4,2,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
number_of_instances
53 [0,1,1,0,0,0,1,3,2,1,3,2,2,3,2,1,3,3,4,6,1,1,1,0,0,0,0,1,0,1,4,2,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0]
number_of_instances
53 [0,0,1,0,0,0,1,3,2,1,3,1,2,3,2,2,3,3,4,6,1,1,1,0,0,0,0,0,1,1,4,2,2,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0]
number_of_instances
53 [0,0,1,0,0,0,1,3,2,1,3,1,2,3,2,2,3,3,4,6,0,1,1,0,0,0,0,0,1,0,5,2,2,1,0,1,0,0,0,0,0,1,0,0,1,0,0,0]
number_of_instances
53 [1,0,0,0,0,0,1,2,1,1,2,1,3,4,2,2,3,4,5,5,1,1,0,0,1,0,0,0,1,0,5,2,2,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0]
number_of_instances
53 [1,0,0,0,0,0,1,2,1,2,2,1,3,3,1,2,3,4,5,5,1,1,0,0,1,0,0,0,0,1,5,2,2,0,0,0,1,0,0,1,0,0,0,1,0,1,0,0]
number_of_instances
53 [1,0,0,0,0,1,1,2,1,2,2,1,3,3,2,2,3,4,4,5,1,1,0,0,1,0,1,0,0,1,5,2,2,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0]
precision
0.506019 [0,0,0,0,0,0,0.5,0.5,0,0.5,1,0,0.666667,0.5,0,1,1,0.4,0.4,1,0.5,0,0,0,0,0,0,0,0,0,0.625,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
precision
0.461321 [0,0,0,0,0,0,0,0.5,0,1,1,0.5,0.666667,0.4,0,0.666667,0.5,0.666667,0.5,0.75,0,0,0,0,0,0,0,0,0,0,0.5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.550629 [0,0,0,0,0,0,0.5,0.666667,1,1,0.75,0,0.333333,0.5,1,0.5,0.666667,0.6,0.5,0.8,0,0,0,1,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
precision
0.639937 [0,0,0,0,0,0,1,1,1,0.5,1,0.666667,0.75,0.5,0.333333,0,1,0.5,0.333333,0.833333,1,0.333333,0,1,0,0,0,1,0,0,1,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.609614 [0,0,0,0,0,0,1,1,1,1,1,0,0.333333,1,0,0,0.333333,0.5,1,0.857143,0.5,0,0,0,0,0,0,1,0,0,0.5,1,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0]
precision
0.410692 [0,0,0,0,0,0,0,1,0.666667,0,1,1,0.666667,0.333333,0,0,0.5,0,0.375,0.8,0,0.5,0,0,0,0,0,0,0,0,0.5,0,0.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.498203 [0,0,0,0,0,0,0,0.75,1,1,1,1,0.5,0.333333,1,0,0.5,0,0.333333,0.625,0,0,0,0,0,0,0,0,0,0,0.714286,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0]
precision
0.518014 [0,0,0,0,0,0,0,1,0.5,1,1,0.333333,0,0.333333,0.333333,0.5,0.25,0.2,0.666667,0.833333,1,1,0,0,0,0,0,0,0,0,0.714286,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.583019 [0,0,0,0,0,0,0.5,1,1,0.5,0.666667,1,0.5,0.5,1,0,0.333333,0.6,0.6,0.8,1,0.333333,0,0,0,0,0,0,0,0,1,0.666667,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.561321 [0,0,0,0,0,0,0,0.5,1,0.666667,1,0,0.5,0.75,0.666667,1,0.5,0.333333,0.5,0.8,0.5,1,0,0,0,0,0,0,0,0,0.8,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
predictive_accuracy
0.537037
predictive_accuracy
0.490566
predictive_accuracy
0.603774
predictive_accuracy
0.660377
predictive_accuracy
0.603774
predictive_accuracy
0.528302
predictive_accuracy
0.566038
predictive_accuracy
0.528302
predictive_accuracy
0.603774
predictive_accuracy
0.566038
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
recall
0.537037 [0,0,0,0,0,0,1,1,0,1,1,0,0.666667,0.666667,0,0.5,0.666667,0.5,0.5,0.8,1,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
recall
0.490566 [0,0,0,0,0,0,0,1,0,1,1,0.5,0.666667,0.666667,0,1,0.333333,0.5,0.75,0.6,0,0,0,0,0,0,0,0,0,0,0.75,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.603774 [0,0,0,0,0,0,1,1,1,1,1,0,0.333333,0.666667,1,0.5,0.666667,1,0.5,0.666667,0,0,0,1,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
recall
0.660377 [0,0,0,0,0,0,1,1,1,1,0.666667,1,1,0.333333,0.5,0,0.666667,0.333333,0.5,0.833333,1,1,0,1,0,0,0,1,0,0,0.75,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.603774 [0,0,0,0,0,0,1,1,0.5,1,1,0,1,0.333333,0,0,0.333333,0.666667,0.5,1,1,0,0,0,0,0,0,1,0,0,1,0.5,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0]
recall
0.528302 [0,0,0,0,0,0,0,1,1,0,1,1,1,0.666667,0,0,0.666667,0,0.75,0.666667,0,1,0,0,0,0,0,0,0,0,0.75,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.566038 [0,0,0,0,0,0,0,1,0.5,1,1,1,1,0.333333,0.5,0,0.666667,0,0.5,0.833333,0,0,0,0,0,0,0,0,0,0,1,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0]
recall
0.528302 [0,0,0,0,0,0,0,0.5,1,1,1,1,0,0.25,0.5,0.5,0.333333,0.25,0.4,1,1,1,0,0,0,0,0,0,0,0,1,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.603774 [0,0,0,0,0,0,1,1,1,0.5,1,1,0.666667,0.333333,1,0,0.333333,0.75,0.6,0.8,1,1,0,0,0,0,0,0,0,0,0.6,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.566038 [0,0,0,0,0,0,0,0.5,1,1,1,0,0.333333,1,1,0.5,0.333333,0.25,0.75,0.8,1,1,0,0,0,0,0,0,0,0,0.8,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.647553
relative_absolute_error
0.669771
relative_absolute_error
0.607844
relative_absolute_error
0.567229
relative_absolute_error
0.602405
relative_absolute_error
0.622106
relative_absolute_error
0.621647
relative_absolute_error
0.662322
relative_absolute_error
0.625092
relative_absolute_error
0.67571
root_mean_prior_squared_error
0.140756
root_mean_prior_squared_error
0.140729
root_mean_prior_squared_error
0.140604
root_mean_prior_squared_error
0.140565
root_mean_prior_squared_error
0.140725
root_mean_prior_squared_error
0.140628
root_mean_prior_squared_error
0.140483
root_mean_prior_squared_error
0.14042
root_mean_prior_squared_error
0.14057
root_mean_prior_squared_error
0.140671
root_mean_squared_error
0.109003
root_mean_squared_error
0.113277
root_mean_squared_error
0.105724
root_mean_squared_error
0.098393
root_mean_squared_error
0.106906
root_mean_squared_error
0.110783
root_mean_squared_error
0.107183
root_mean_squared_error
0.111829
root_mean_squared_error
0.107977
root_mean_squared_error
0.11412
root_relative_squared_error
0.774406
root_relative_squared_error
0.804925
root_relative_squared_error
0.751929
root_relative_squared_error
0.699984
root_relative_squared_error
0.759685
root_relative_squared_error
0.787775
root_relative_squared_error
0.762962
root_relative_squared_error
0.796388
root_relative_squared_error
0.768138
root_relative_squared_error
0.811252
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