2189908
1856
Miguel Cachada
14
Supervised Classification
5886
weka.J48(38)
302898
weka.classifiers.trees.J48 -- -C 0.01 -M 20
C
0.01
5886
M
20
5886
study_70
weka
weka_3.8.1
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
5333445
description
https://api.openml.org/data/download/5333445/weka_generated_run8986306896255299290.xml
-1
5333447
model_readable
https://api.openml.org/data/download/5333447/WekaModel_weka.classifiers.trees.J487005393459836132957.model
-1
5333446
model_serialized
https://api.openml.org/data/download/5333446/WekaSerialized_weka.classifiers.trees.J48146213667757949738.model
-1
5333448
predictions
https://api.openml.org/data/download/5333448/weka_generated_predictions9076696191852651498.arff
area_under_roc_curve
0.941401 [0.989061,0.906221,0.968476,0.921922,0.900787,0.959731,0.903528,0.969767,0.978501,0.916019]
average_cost
0
f_measure
0.728841 [0.958231,0.622951,0.895,0.703297,0.665,0.787879,0.432432,0.819599,0.927835,0.47619]
kappa
0.701667
kb_relative_information_score
1439.385093
mean_absolute_error
0.068971
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.730872 [0.942029,0.585903,0.895,0.780488,0.665,0.795918,0.470588,0.738956,0.957447,0.477387]
predictive_accuracy
0.7315
prior_entropy
3.321928
recall
0.7315 [0.975,0.665,0.895,0.64,0.665,0.78,0.4,0.92,0.9,0.475]
relative_absolute_error
0.383171
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.196717
root_relative_squared_error
0.655723
total_cost
0
area_under_roc_curve
0.945569 [0.994444,0.880139,0.974861,0.966111,0.875833,0.997361,0.890833,0.9575,0.986806,0.931806]
area_under_roc_curve
0.947903 [0.972083,0.921667,0.940278,0.940139,0.888333,0.965556,0.938056,0.97625,0.999167,0.9375]
area_under_roc_curve
0.94175 [1,0.919167,0.951806,0.856944,0.939861,0.975556,0.911528,0.927778,0.998056,0.936806]
area_under_roc_curve
0.943514 [0.983194,0.898333,0.989861,0.970556,0.91125,0.909167,0.92625,0.984028,0.970972,0.891528]
area_under_roc_curve
0.944819 [0.997222,0.899583,0.948333,0.958056,0.947222,0.935833,0.933472,0.916667,0.995833,0.915972]
area_under_roc_curve
0.938431 [0.997222,0.905139,0.983333,0.879861,0.887361,0.952917,0.890833,0.987639,0.996389,0.903611]
area_under_roc_curve
0.937806 [0.9975,0.966806,0.954028,0.935278,0.866667,0.934583,0.914306,0.987083,0.939722,0.882083]
area_under_roc_curve
0.925458 [0.968611,0.890694,0.994444,0.832917,0.851528,0.978056,0.906389,0.985139,0.934583,0.912222]
area_under_roc_curve
0.947167 [0.992917,0.859861,0.987222,0.976528,0.897361,0.953194,0.887917,0.976944,1,0.939722]
area_under_roc_curve
0.947028 [0.991667,0.923194,0.958333,0.907361,0.930139,0.987778,0.846528,0.992222,0.985833,0.947222]
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
0.722254 [0.952381,0.612245,0.842105,0.777778,0.697674,0.923077,0.390244,0.829268,0.894737,0.30303]
f_measure
0.711325 [0.974359,0.590909,0.864865,0.619048,0.666667,0.727273,0.487805,0.818182,0.952381,0.411765]
f_measure
0.732057 [1,0.651163,0.894737,0.518519,0.791667,0.772727,0.461538,0.857143,0.923077,0.45]
f_measure
0.750805 [0.904762,0.666667,0.926829,0.809524,0.651163,0.789474,0.540541,0.809524,0.923077,0.486486]
f_measure
0.686846 [0.97561,0.526316,0.85,0.772727,0.648649,0.722222,0.352941,0.72,0.95,0.35]
f_measure
0.733799 [0.97561,0.583333,0.926829,0.628571,0.594595,0.894737,0.457143,0.816327,0.974359,0.486486]
f_measure
0.711138 [0.974359,0.736842,0.871795,0.6875,0.545455,0.714286,0.307692,0.826087,0.947368,0.5]
f_measure
0.726961 [0.95,0.619048,0.952381,0.702703,0.594595,0.736842,0.511628,0.851064,0.864865,0.486486]
f_measure
0.778997 [0.95,0.615385,0.926829,0.85,0.75,0.810811,0.411765,0.808511,1,0.666667]
f_measure
0.710771 [0.930233,0.638298,0.883721,0.551724,0.684211,0.8,0.35,0.878049,0.833333,0.55814]
kappa
0.694444
kappa
0.683333
kappa
0.711111
kappa
0.727778
kappa
0.661111
kappa
0.711111
kappa
0.683333
kappa
0.7
kappa
0.761111
kappa
0.683333
kb_relative_information_score
143.16936
kb_relative_information_score
141.192199
kb_relative_information_score
147.634234
kb_relative_information_score
145.508137
kb_relative_information_score
139.49374
kb_relative_information_score
144.832822
kb_relative_information_score
142.366438
kb_relative_information_score
143.596856
kb_relative_information_score
149.425394
kb_relative_information_score
142.165914
mean_absolute_error
0.068558
mean_absolute_error
0.070899
mean_absolute_error
0.067507
mean_absolute_error
0.066598
mean_absolute_error
0.071826
mean_absolute_error
0.067685
mean_absolute_error
0.071079
mean_absolute_error
0.069852
mean_absolute_error
0.065216
mean_absolute_error
0.070488
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
0.73093 [0.909091,0.517241,0.888889,0.875,0.652174,0.947368,0.380952,0.809524,0.944444,0.384615]
precision
0.722185 [1,0.541667,0.941176,0.590909,0.846154,0.666667,0.47619,0.75,0.909091,0.5]
precision
0.762928 [1,0.608696,0.944444,1,0.678571,0.708333,0.473684,0.818182,0.947368,0.45]
precision
0.750511 [0.863636,0.684211,0.904762,0.772727,0.608696,0.833333,0.588235,0.772727,0.947368,0.529412]
precision
0.691322 [0.952381,0.555556,0.85,0.708333,0.705882,0.8125,0.428571,0.6,0.95,0.35]
precision
0.743438 [0.952381,0.5,0.904762,0.733333,0.647059,0.944444,0.533333,0.689655,1,0.529412]
precision
0.755732 [1,0.777778,0.894737,0.916667,0.5,0.681818,0.666667,0.730769,1,0.388889]
precision
0.732913 [0.95,0.590909,0.909091,0.764706,0.647059,0.777778,0.478261,0.740741,0.941176,0.529412]
precision
0.780876 [0.95,0.631579,0.904762,0.85,0.75,0.882353,0.5,0.703704,1,0.636364]
precision
0.73287 [0.869565,0.555556,0.826087,0.888889,0.722222,0.8,0.35,0.857143,0.9375,0.521739]
predictive_accuracy
0.725
predictive_accuracy
0.715
predictive_accuracy
0.74
predictive_accuracy
0.755
predictive_accuracy
0.695
predictive_accuracy
0.74
predictive_accuracy
0.715
predictive_accuracy
0.73
predictive_accuracy
0.785
predictive_accuracy
0.715
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
0.725 [1,0.75,0.8,0.7,0.75,0.9,0.4,0.85,0.85,0.25]
recall
0.715 [0.95,0.65,0.8,0.65,0.55,0.8,0.5,0.9,1,0.35]
recall
0.74 [1,0.7,0.85,0.35,0.95,0.85,0.45,0.9,0.9,0.45]
recall
0.755 [0.95,0.65,0.95,0.85,0.7,0.75,0.5,0.85,0.9,0.45]
recall
0.695 [1,0.5,0.85,0.85,0.6,0.65,0.3,0.9,0.95,0.35]
recall
0.74 [1,0.7,0.95,0.55,0.55,0.85,0.4,1,0.95,0.45]
recall
0.715 [0.95,0.7,0.85,0.55,0.6,0.75,0.2,0.95,0.9,0.7]
recall
0.73 [0.95,0.65,1,0.65,0.55,0.7,0.55,1,0.8,0.45]
recall
0.785 [0.95,0.6,0.95,0.85,0.75,0.75,0.35,0.95,1,0.7]
recall
0.715 [1,0.75,0.95,0.4,0.65,0.8,0.35,0.9,0.75,0.6]
relative_absolute_error
0.380877
relative_absolute_error
0.393882
relative_absolute_error
0.37504
relative_absolute_error
0.369991
relative_absolute_error
0.399034
relative_absolute_error
0.37603
relative_absolute_error
0.394881
relative_absolute_error
0.388064
relative_absolute_error
0.362312
relative_absolute_error
0.391602
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
0.200259
root_mean_squared_error
0.200691
root_mean_squared_error
0.189942
root_mean_squared_error
0.194191
root_mean_squared_error
0.207271
root_mean_squared_error
0.192522
root_mean_squared_error
0.200001
root_mean_squared_error
0.199378
root_mean_squared_error
0.182429
root_mean_squared_error
0.19937
root_relative_squared_error
0.667531
root_relative_squared_error
0.66897
root_relative_squared_error
0.633141
root_relative_squared_error
0.647304
root_relative_squared_error
0.690904
root_relative_squared_error
0.641741
root_relative_squared_error
0.66667
root_relative_squared_error
0.664594
root_relative_squared_error
0.608098
root_relative_squared_error
0.664566
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