2341362
1856
Miguel Cachada
14
Supervised Classification
6680
weka.AttributeSelectedClassifier_SMO_RBFKernel(2)
419645
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 0.1 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.RBFKernel -G 0.01 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4"
C
0.1
5907
N
0
5907
L
0.001
5907
P
1.0E-12
5907
V
-1
5907
W
1
5907
K
weka.classifiers.functions.supportVector.RBFKernel
5907
calibrator
true
5907
G
0.01
5908
C
250007
5908
E
weka.attributeSelection.CfsSubsetEval -P 1 -E 1
6680
S
weka.attributeSelection.BestFirst -D 1 -N 5
6680
W
weka.classifiers.functions.SMO
6680
study_70
weka
weka_3.8.1
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
5640741
description
https://www.openml.org/data/download/5640741/weka_generated_run6707163462779723024.xml
-1
5640743
model_readable
https://www.openml.org/data/download/5640743/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier8333691484292936113.model
-1
5640742
model_serialized
https://www.openml.org/data/download/5640742/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier3554149686017986963.model
-1
5640744
predictions
https://www.openml.org/data/download/5640744/weka_generated_predictions2589453645784536093.arff
area_under_roc_curve
0.87058 [0.996643,0.818471,0.881537,0.815349,0.823949,0.960133,0.777639,0.887925,0.944915,0.799242]
average_cost
0
f_measure
0.508001 [0.897098,0.449275,0.544118,0.394984,0.360544,0.737089,0.407323,0.455331,0.51505,0.319202]
kappa
0.454444
kb_relative_information_score
409.098905
mean_absolute_error
0.16754
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.559676 [0.949721,0.316327,0.533654,0.529412,0.56383,0.69469,0.375527,0.537415,0.777778,0.318408]
predictive_accuracy
0.509
prior_entropy
3.321928
recall
0.509 [0.85,0.775,0.555,0.315,0.265,0.785,0.445,0.395,0.385,0.32]
relative_absolute_error
0.930778
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.283389
root_relative_squared_error
0.944631
total_cost
0
area_under_roc_curve
0.916569 [0.997639,0.883472,0.945556,0.935833,0.89,0.982639,0.803194,0.918472,0.963889,0.845]
area_under_roc_curve
0.936208 [1,0.927361,0.952778,0.9775,0.859167,0.963056,0.9325,0.945,0.924722,0.88]
area_under_roc_curve
0.92025 [0.99625,0.883611,0.961806,0.88,0.895833,0.974167,0.882222,0.931528,0.991667,0.805417]
area_under_roc_curve
0.919722 [0.998056,0.835278,0.967222,0.986111,0.890833,0.986111,0.799861,0.928333,0.940139,0.865278]
area_under_roc_curve
0.918403 [0.999583,0.746944,0.971667,0.956944,0.912222,0.972222,0.797222,0.965833,0.988889,0.8725]
area_under_roc_curve
0.876681 [0.999167,0.865556,0.911111,0.666667,0.809444,0.97,0.826944,0.9375,0.991667,0.78875]
area_under_roc_curve
0.927375 [1,0.8425,0.978472,0.942083,0.870139,0.955278,0.92375,0.969444,0.983333,0.80875]
area_under_roc_curve
0.936042 [0.999722,0.928611,0.965278,0.945556,0.828056,0.97875,0.862778,0.97625,0.987778,0.887639]
area_under_roc_curve
0.913972 [0.996944,0.798333,0.94,0.955139,0.889722,0.955278,0.819167,0.921667,0.986111,0.877361]
area_under_roc_curve
0.892181 [0.995972,0.901389,0.938333,0.797222,0.863333,0.995417,0.768333,0.966667,0.907917,0.787222]
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
0.408373 [0.9,0.459459,0.590164,0,0.611111,0.816327,0,0.266667,0,0.44]
f_measure
0.32987 [0.869565,0.392157,0,0.666667,0.090909,0.744186,0.535211,0,0,0]
f_measure
0.571831 [0.918919,0.666667,0.714286,0.25,0.32,0.883721,0.585366,0.090909,0.930233,0.358209]
f_measure
0.306417 [0.787879,0.528302,0.481013,0.24,0.576271,0,0.450704,0,0,0]
f_measure
0.55705 [0.974359,0.409091,0.926829,0.611111,0,0.714286,0.4375,0.588235,0.909091,0]
f_measure
0.364836 [0.95,0.467532,0,0,0,0.76,0.472222,0.690909,0.307692,0]
f_measure
0.535276 [0.787879,0.47619,0.833333,0,0.4,0.8,0.514286,0.784314,0.756757,0]
f_measure
0.511628 [0.918919,0.64,0.181818,0.435897,0.181818,0.818182,0,0.731707,0.77551,0.432432]
f_measure
0.329445 [0.857143,0.395604,0,0.85,0,0.782609,0,0,0,0.409091]
f_measure
0.363773 [0.974359,0.297872,0.679245,0,0.577778,0.6,0,0,0,0.508475]
kappa
0.438889
kappa
0.377778
kappa
0.566667
kappa
0.344444
kappa
0.583333
kappa
0.422222
kappa
0.544444
kappa
0.522222
kappa
0.366667
kappa
0.377778
kb_relative_information_score
41.274296
kb_relative_information_score
43.030028
kb_relative_information_score
42.422958
kb_relative_information_score
40.480866
kb_relative_information_score
40.311794
kb_relative_information_score
36.00988
kb_relative_information_score
40.871204
kb_relative_information_score
47.346741
kb_relative_information_score
37.169409
kb_relative_information_score
40.181728
mean_absolute_error
0.1674
mean_absolute_error
0.166689
mean_absolute_error
0.167155
mean_absolute_error
0.167867
mean_absolute_error
0.167778
mean_absolute_error
0.169089
mean_absolute_error
0.167578
mean_absolute_error
0.165133
mean_absolute_error
0.168844
mean_absolute_error
0.167867
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
0.379766 [0.9,0.314815,0.439024,0,0.6875,0.689655,0,0.4,0,0.366667]
precision
0.333133 [0.769231,0.243902,0,0.75,0.5,0.695652,0.372549,0,0,0]
precision
0.676432 [1,0.636364,0.555556,0.75,0.8,0.826087,0.571429,0.5,0.869565,0.255319]
precision
0.30959 [1,0.424242,0.322034,0.6,0.435897,0,0.313725,0,0,0]
precision
0.535615 [1,0.375,0.904762,0.6875,0,0.555556,0.583333,0.416667,0.833333,0]
precision
0.343557 [0.95,0.315789,0,0,0,0.633333,0.326923,0.542857,0.666667,0]
precision
0.583503 [1,0.348837,0.9375,0,1,0.72,0.36,0.645161,0.823529,0]
precision
0.641648 [1,0.533333,1,0.293103,1,0.75,0,0.714286,0.655172,0.470588]
precision
0.306053 [1,0.253521,0,0.85,0,0.692308,0,0,0,0.264706]
precision
0.353926 [1,0.189189,0.545455,0,0.52,0.9,0,0,0,0.384615]
predictive_accuracy
0.495
predictive_accuracy
0.44
predictive_accuracy
0.61
predictive_accuracy
0.41
predictive_accuracy
0.625
predictive_accuracy
0.48
predictive_accuracy
0.59
predictive_accuracy
0.57
predictive_accuracy
0.43
predictive_accuracy
0.44
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
0.495 [0.9,0.85,0.9,0,0.55,1,0,0.2,0,0.55]
recall
0.44 [1,1,0,0.6,0.05,0.8,0.95,0,0,0]
recall
0.61 [0.85,0.7,1,0.15,0.2,0.95,0.6,0.05,1,0.6]
recall
0.41 [0.65,0.7,0.95,0.15,0.85,0,0.8,0,0,0]
recall
0.625 [0.95,0.45,0.95,0.55,0,1,0.35,1,1,0]
recall
0.48 [0.95,0.9,0,0,0,0.95,0.85,0.95,0.2,0]
recall
0.59 [0.65,0.75,0.75,0,0.25,0.9,0.9,1,0.7,0]
recall
0.57 [0.85,0.8,0.1,0.85,0.1,0.9,0,0.75,0.95,0.4]
recall
0.43 [0.75,0.9,0,0.85,0,0.9,0,0,0,0.9]
recall
0.44 [0.95,0.7,0.9,0,0.65,0.45,0,0,0,0.75]
relative_absolute_error
0.93
relative_absolute_error
0.926049
relative_absolute_error
0.928642
relative_absolute_error
0.932592
relative_absolute_error
0.932099
relative_absolute_error
0.939383
relative_absolute_error
0.930988
relative_absolute_error
0.917407
relative_absolute_error
0.938024
relative_absolute_error
0.932592
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
0.283133
root_mean_squared_error
0.282202
root_mean_squared_error
0.282002
root_mean_squared_error
0.284113
root_mean_squared_error
0.282909
root_mean_squared_error
0.285596
root_mean_squared_error
0.283622
root_mean_squared_error
0.280149
root_mean_squared_error
0.285988
root_mean_squared_error
0.284133
root_relative_squared_error
0.943777
root_relative_squared_error
0.940674
root_relative_squared_error
0.940005
root_relative_squared_error
0.947045
root_relative_squared_error
0.94303
root_relative_squared_error
0.951986
root_relative_squared_error
0.945407
root_relative_squared_error
0.93383
root_relative_squared_error
0.953293
root_relative_squared_error
0.947109
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