2338450
1856
Miguel Cachada
14
Supervised Classification
5978
weka.AttributeSelectedClassifier_J48(2)
417957
weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.trees.J48 -- -C 0.01 -M 20
C
0.01
5886
M
20
5886
E
weka.attributeSelection.CfsSubsetEval -P 1 -E 1
5978
S
weka.attributeSelection.BestFirst -D 1 -N 5
5978
W
weka.classifiers.trees.J48
5978
study_70
weka
weka_3.8.1
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
5633966
description
https://api.openml.org/data/download/5633966/weka_generated_run6407334448853582087.xml
-1
5633968
model_readable
https://api.openml.org/data/download/5633968/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier4703745143426183192.model
-1
5633967
model_serialized
https://api.openml.org/data/download/5633967/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier5321076099704731351.model
-1
5633969
predictions
https://api.openml.org/data/download/5633969/weka_generated_predictions36854131306708237.arff
area_under_roc_curve
0.940235 [0.989117,0.902908,0.968522,0.925781,0.9021,0.957056,0.900524,0.969743,0.976236,0.910364]
average_cost
0
f_measure
0.725416 [0.958231,0.616471,0.895,0.703297,0.664975,0.794045,0.419098,0.819599,0.928205,0.455243]
kappa
0.698333
kb_relative_information_score
1433.42128
mean_absolute_error
0.069476
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.726706 [0.942029,0.582222,0.895,0.780488,0.675258,0.788177,0.446328,0.738956,0.952632,0.465969]
predictive_accuracy
0.7285
prior_entropy
3.321928
recall
0.7285 [0.975,0.655,0.895,0.64,0.655,0.8,0.395,0.92,0.905,0.445]
relative_absolute_error
0.38598
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.197743
root_relative_squared_error
0.659143
total_cost
0
area_under_roc_curve
0.942819 [0.994444,0.880139,0.974861,0.9625,0.875139,0.997361,0.885833,0.9575,0.986806,0.913611]
area_under_roc_curve
0.944958 [0.972083,0.921667,0.940278,0.940139,0.888333,0.965556,0.921528,0.97625,0.999167,0.924583]
area_under_roc_curve
0.940208 [1,0.919167,0.951806,0.855833,0.939861,0.976667,0.910417,0.927778,0.998056,0.9225]
area_under_roc_curve
0.933014 [0.983194,0.848611,0.990417,0.969444,0.904583,0.908056,0.903611,0.982361,0.970972,0.868889]
area_under_roc_curve
0.946847 [0.997222,0.899583,0.948333,0.955417,0.949861,0.940278,0.937083,0.916667,0.995833,0.928194]
area_under_roc_curve
0.941889 [0.997222,0.905139,0.983333,0.879861,0.905139,0.953611,0.896111,0.987639,0.993889,0.916944]
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
0.928472 [0.968611,0.888611,0.994444,0.871389,0.850694,0.976667,0.900556,0.985139,0.932083,0.916528]
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
0.940278 [0.991667,0.923194,0.958333,0.909306,0.929861,0.959167,0.849861,0.992222,0.964722,0.924444]
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
0.706728 [0.952381,0.612245,0.842105,0.777778,0.697674,0.923077,0.222222,0.829268,0.894737,0.315789]
f_measure
0.701588 [0.974359,0.590909,0.864865,0.619048,0.666667,0.727273,0.571429,0.818182,0.952381,0.230769]
f_measure
0.73651 [1,0.651163,0.894737,0.518519,0.791667,0.772727,0.444444,0.857143,0.923077,0.511628]
f_measure
0.702913 [0.904762,0.594595,0.926829,0.809524,0.622222,0.789474,0.333333,0.809524,0.923077,0.315789]
f_measure
0.70059 [0.97561,0.526316,0.85,0.772727,0.666667,0.790698,0.363636,0.72,0.95,0.390244]
f_measure
0.749586 [0.97561,0.583333,0.926829,0.628571,0.594595,0.894737,0.585366,0.816327,0.974359,0.516129]
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
0.717456 [0.95,0.619048,0.952381,0.702703,0.594595,0.736842,0.390244,0.851064,0.864865,0.512821]
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
0.715776 [0.930233,0.638298,0.883721,0.551724,0.702703,0.8,0.444444,0.878049,0.842105,0.486486]
kappa
0.677778
kappa
0.683333
kappa
0.716667
kappa
0.677778
kappa
0.677778
kappa
0.727778
kappa
0.683333
kappa
0.688889
kappa
0.761111
kappa
0.688889
kb_relative_information_score
142.104887
kb_relative_information_score
141.168307
kb_relative_information_score
146.19968
kb_relative_information_score
139.934852
kb_relative_information_score
141.41531
kb_relative_information_score
146.055907
kb_relative_information_score
142.366438
kb_relative_information_score
142.728082
kb_relative_information_score
149.425394
kb_relative_information_score
142.022423
mean_absolute_error
0.069525
mean_absolute_error
0.072121
mean_absolute_error
0.068403
mean_absolute_error
0.071076
mean_absolute_error
0.069564
mean_absolute_error
0.067499
mean_absolute_error
0.071079
mean_absolute_error
0.069915
mean_absolute_error
0.065216
mean_absolute_error
0.070366
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
0.712707 [0.909091,0.517241,0.888889,0.875,0.652174,0.947368,0.25,0.809524,0.944444,0.333333]
precision
0.722842 [1,0.541667,0.941176,0.590909,0.846154,0.666667,0.482759,0.75,0.909091,0.5]
precision
0.768386 [1,0.608696,0.944444,1,0.678571,0.708333,0.5,0.818182,0.947368,0.478261]
precision
0.700995 [0.863636,0.647059,0.904762,0.772727,0.56,0.833333,0.375,0.772727,0.947368,0.333333]
precision
0.719789 [0.952381,0.555556,0.85,0.708333,1,0.73913,0.461538,0.6,0.95,0.380952]
precision
0.767034 [0.952381,0.5,0.904762,0.733333,0.647059,0.944444,0.571429,0.689655,1,0.727273]
precision
0.755732 [1,0.777778,0.894737,0.916667,0.5,0.681818,0.666667,0.730769,1,0.388889]
precision
0.722873 [0.95,0.590909,0.909091,0.764706,0.647059,0.777778,0.380952,0.740741,0.941176,0.526316]
precision
0.780876 [0.95,0.631579,0.904762,0.85,0.75,0.882353,0.5,0.703704,1,0.636364]
precision
0.738025 [0.869565,0.555556,0.826087,0.888889,0.764706,0.8,0.4,0.857143,0.888889,0.529412]
predictive_accuracy
0.71
predictive_accuracy
0.715
predictive_accuracy
0.745
predictive_accuracy
0.71
predictive_accuracy
0.71
predictive_accuracy
0.755
predictive_accuracy
0.715
predictive_accuracy
0.72
predictive_accuracy
0.785
predictive_accuracy
0.72
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 [1,0.75,0.8,0.7,0.75,0.9,0.2,0.85,0.85,0.3]
recall
0.715 [0.95,0.65,0.8,0.65,0.55,0.8,0.7,0.9,1,0.15]
recall
0.745 [1,0.7,0.85,0.35,0.95,0.85,0.4,0.9,0.9,0.55]
recall
0.71 [0.95,0.55,0.95,0.85,0.7,0.75,0.3,0.85,0.9,0.3]
recall
0.71 [1,0.5,0.85,0.85,0.5,0.85,0.3,0.9,0.95,0.4]
recall
0.755 [1,0.7,0.95,0.55,0.55,0.85,0.6,1,0.95,0.4]
recall
0.715 [0.95,0.7,0.85,0.55,0.6,0.75,0.2,0.95,0.9,0.7]
recall
0.72 [0.95,0.65,1,0.65,0.55,0.7,0.4,1,0.8,0.5]
recall
0.785 [0.95,0.6,0.95,0.85,0.75,0.75,0.35,0.95,1,0.7]
recall
0.72 [1,0.75,0.95,0.4,0.65,0.8,0.5,0.9,0.8,0.45]
relative_absolute_error
0.386249
relative_absolute_error
0.400673
relative_absolute_error
0.380018
relative_absolute_error
0.394866
relative_absolute_error
0.386468
relative_absolute_error
0.374993
relative_absolute_error
0.394881
relative_absolute_error
0.388418
relative_absolute_error
0.362312
relative_absolute_error
0.390921
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
0.20138
root_mean_squared_error
0.200647
root_mean_squared_error
0.192773
root_mean_squared_error
0.204533
root_mean_squared_error
0.203135
root_mean_squared_error
0.18949
root_mean_squared_error
0.200001
root_mean_squared_error
0.200666
root_mean_squared_error
0.182429
root_mean_squared_error
0.201237
root_relative_squared_error
0.671265
root_relative_squared_error
0.668823
root_relative_squared_error
0.642577
root_relative_squared_error
0.681776
root_relative_squared_error
0.677115
root_relative_squared_error
0.631634
root_relative_squared_error
0.66667
root_relative_squared_error
0.668886
root_relative_squared_error
0.608098
root_relative_squared_error
0.67079
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