2338543
1856
Miguel Cachada
14
Supervised Classification
5988
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)
418013
weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.functions.SMO -- -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4"
C
1.0
5926
N
0
5926
L
0.001
5926
P
1.0E-12
5926
V
-1
5926
W
1
5926
K
weka.classifiers.functions.supportVector.PolyKernel
5926
calibrator
true
5926
E
1.0
5927
C
250007
5927
E
weka.attributeSelection.CfsSubsetEval -P 1 -E 1
5988
S
weka.attributeSelection.BestFirst -D 1 -N 5
5988
W
weka.classifiers.functions.SMO
5988
weka
weka_3.8.1
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
5634234
description
https://api.openml.org/data/download/5634234/weka_generated_run2697016003263339376.xml
-1
5634236
model_readable
https://api.openml.org/data/download/5634236/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier5903701702643896579.model
-1
5634235
model_serialized
https://api.openml.org/data/download/5634235/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier8215461602702307800.model
-1
5634237
predictions
https://api.openml.org/data/download/5634237/weka_generated_predictions2797063193879731325.arff
area_under_roc_curve
0.971357 [0.999821,0.945265,0.993193,0.985878,0.948,0.989861,0.939833,0.985285,0.992401,0.934036]
average_cost
0
f_measure
0.838819 [0.997494,0.765432,0.952854,0.894057,0.798982,0.925373,0.597468,0.886792,0.97733,0.592405]
kappa
0.821667
kb_relative_information_score
577.266674
mean_absolute_error
0.161027
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.839049 [1,0.756098,0.945813,0.925134,0.813472,0.920792,0.605128,0.839286,0.984772,0.6]
predictive_accuracy
0.8395
prior_entropy
3.321928
recall
0.8395 [0.995,0.775,0.96,0.865,0.785,0.93,0.59,0.94,0.97,0.585]
relative_absolute_error
0.894593
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.273819
root_relative_squared_error
0.912729
total_cost
0
area_under_roc_curve
0.976194 [0.998333,0.952222,0.997083,0.994444,0.955556,1,0.93125,0.990972,0.997222,0.944861]
area_under_roc_curve
0.969389 [1,0.928333,0.994444,0.989444,0.940278,0.983056,0.940278,0.984861,0.99375,0.939444]
area_under_roc_curve
0.966514 [1,0.935417,1,0.949167,0.965,0.989028,0.906944,0.964028,1,0.955556]
area_under_roc_curve
0.981847 [1,0.956944,0.997917,0.994444,0.975,0.992222,0.974167,0.990556,0.983611,0.953611]
area_under_roc_curve
0.967778 [1,0.9275,0.988056,0.984722,0.953611,0.988333,0.945556,0.976667,0.997222,0.916111]
area_under_roc_curve
0.972736 [1,0.958056,0.994444,0.993611,0.945417,0.994444,0.943056,0.994444,0.997222,0.906667]
area_under_roc_curve
0.9705 [1,0.950278,0.997083,0.986389,0.942778,0.981389,0.948889,0.983333,1,0.914861]
area_under_roc_curve
0.971569 [1,0.945,0.997083,0.991389,0.933056,0.995694,0.914167,0.991667,0.991389,0.95625]
area_under_roc_curve
0.972 [1,0.943333,0.997222,0.997222,0.946528,0.973333,0.958889,0.986111,1,0.917361]
area_under_roc_curve
0.967403 [1,0.957778,0.970833,0.986806,0.930833,1,0.931111,0.994444,0.968333,0.933889]
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
0.843133 [0.974359,0.8,0.95,0.888889,0.837209,1,0.526316,0.9,0.97561,0.578947]
f_measure
0.808094 [1,0.75,0.952381,0.842105,0.722222,0.878049,0.512821,0.863636,0.974359,0.585366]
f_measure
0.849026 [1,0.744186,1,0.820513,0.883721,0.923077,0.615385,0.871795,1,0.631579]
f_measure
0.868798 [1,0.769231,0.974359,0.952381,0.818182,0.9,0.790698,0.842105,0.974359,0.666667]
f_measure
0.812165 [1,0.666667,0.974359,0.85,0.731707,0.878049,0.611111,0.8,0.97561,0.634146]
f_measure
0.840211 [1,0.820513,0.952381,0.918919,0.871795,0.952381,0.595745,0.952381,0.974359,0.363636]
f_measure
0.820291 [1,0.780488,0.918919,0.9,0.722222,0.904762,0.636364,0.869565,1,0.470588]
f_measure
0.850198 [1,0.744186,0.95,0.894737,0.833333,0.95,0.594595,0.930233,0.923077,0.681818]
f_measure
0.852457 [1,0.810811,0.97561,0.97561,0.7,0.864865,0.611111,0.888889,1,0.697674]
f_measure
0.831603 [1,0.761905,0.883721,0.888889,0.857143,1,0.444444,0.952381,0.974359,0.553191]
kappa
0.827778
kappa
0.788889
kappa
0.833333
kappa
0.855556
kappa
0.794444
kappa
0.827778
kappa
0.805556
kappa
0.833333
kappa
0.838889
kappa
0.811111
kb_relative_information_score
58.126211
kb_relative_information_score
57.561907
kb_relative_information_score
56.996747
kb_relative_information_score
58.494393
kb_relative_information_score
57.467114
kb_relative_information_score
58.017067
kb_relative_information_score
57.504403
kb_relative_information_score
57.962231
kb_relative_information_score
57.793975
kb_relative_information_score
57.342626
mean_absolute_error
0.160867
mean_absolute_error
0.161089
mean_absolute_error
0.161311
mean_absolute_error
0.160733
mean_absolute_error
0.161133
mean_absolute_error
0.160911
mean_absolute_error
0.161089
mean_absolute_error
0.160911
mean_absolute_error
0.161022
mean_absolute_error
0.1612
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
0.847166 [1,0.72,0.95,1,0.782609,1,0.555556,0.9,0.952381,0.611111]
precision
0.810703 [1,0.75,0.909091,0.888889,0.8125,0.857143,0.526316,0.791667,1,0.571429]
precision
0.85042 [1,0.695652,1,0.842105,0.826087,0.947368,0.631579,0.894737,1,0.666667]
precision
0.872658 [1,0.789474,1,0.909091,0.75,0.9,0.73913,0.888889,1,0.75]
precision
0.815036 [1,0.75,1,0.85,0.714286,0.857143,0.6875,0.72,0.952381,0.619048]
precision
0.844417 [1,0.842105,0.909091,1,0.894737,0.909091,0.518519,0.909091,1,0.461538]
precision
0.826203 [1,0.761905,1,0.9,0.8125,0.863636,0.583333,0.769231,1,0.571429]
precision
0.856659 [1,0.695652,0.95,0.944444,0.9375,0.95,0.647059,0.869565,0.947368,0.625]
precision
0.856797 [1,0.882353,0.952381,0.952381,0.7,0.941176,0.6875,0.8,1,0.652174]
precision
0.844393 [1,0.727273,0.826087,1,1,1,0.5,0.909091,1,0.481481]
predictive_accuracy
0.845
predictive_accuracy
0.81
predictive_accuracy
0.85
predictive_accuracy
0.87
predictive_accuracy
0.815
predictive_accuracy
0.845
predictive_accuracy
0.825
predictive_accuracy
0.85
predictive_accuracy
0.855
predictive_accuracy
0.83
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
0.845 [0.95,0.9,0.95,0.8,0.9,1,0.5,0.9,1,0.55]
recall
0.81 [1,0.75,1,0.8,0.65,0.9,0.5,0.95,0.95,0.6]
recall
0.85 [1,0.8,1,0.8,0.95,0.9,0.6,0.85,1,0.6]
recall
0.87 [1,0.75,0.95,1,0.9,0.9,0.85,0.8,0.95,0.6]
recall
0.815 [1,0.6,0.95,0.85,0.75,0.9,0.55,0.9,1,0.65]
recall
0.845 [1,0.8,1,0.85,0.85,1,0.7,1,0.95,0.3]
recall
0.825 [1,0.8,0.85,0.9,0.65,0.95,0.7,1,1,0.4]
recall
0.85 [1,0.8,0.95,0.85,0.75,0.95,0.55,1,0.9,0.75]
recall
0.855 [1,0.75,1,1,0.7,0.8,0.55,1,1,0.75]
recall
0.83 [1,0.8,0.95,0.8,0.75,1,0.4,1,0.95,0.65]
relative_absolute_error
0.893704
relative_absolute_error
0.894938
relative_absolute_error
0.896173
relative_absolute_error
0.892963
relative_absolute_error
0.895185
relative_absolute_error
0.893951
relative_absolute_error
0.894938
relative_absolute_error
0.893951
relative_absolute_error
0.894568
relative_absolute_error
0.895556
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
0.273505
root_mean_squared_error
0.273932
root_mean_squared_error
0.274328
root_mean_squared_error
0.273286
root_mean_squared_error
0.274029
root_mean_squared_error
0.273566
root_mean_squared_error
0.273943
root_mean_squared_error
0.273655
root_mean_squared_error
0.273795
root_mean_squared_error
0.274146
root_relative_squared_error
0.911683
root_relative_squared_error
0.913105
root_relative_squared_error
0.914426
root_relative_squared_error
0.910955
root_relative_squared_error
0.91343
root_relative_squared_error
0.911888
root_relative_squared_error
0.913144
root_relative_squared_error
0.912182
root_relative_squared_error
0.912652
root_relative_squared_error
0.91382
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