2337261
1856
Miguel Cachada
14
Supervised Classification
6007
weka.AttributeSelectedClassifier_RandomForest(2)
416937
weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.trees.RandomForest -- -P 80 -I 100 -num-slots 1 -K 0 -M 10.0 -V 0.001 -S 1
P
80
5923
I
100
5923
num-slots
1
5923
K
0
5923
M
10.0
5923
V
0.001
5923
S
1
5923
E
weka.attributeSelection.CfsSubsetEval -P 1 -E 1
6007
S
weka.attributeSelection.BestFirst -D 1 -N 5
6007
W
weka.classifiers.trees.RandomForest
6007
study_70
weka
weka_3.8.1
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
5631134
description
https://www.openml.org/data/download/5631134/weka_generated_run3626291002656252980.xml
-1
5631136
model_readable
https://www.openml.org/data/download/5631136/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier1323514459494775062.model
-1
5631135
model_serialized
https://www.openml.org/data/download/5631135/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier910391094199534501.model
-1
5631137
predictions
https://www.openml.org/data/download/5631137/weka_generated_predictions2397372339068675758.arff
area_under_roc_curve
0.983443 [1,0.976472,0.997131,0.994525,0.979853,0.993825,0.949097,0.993408,0.999478,0.950642]
average_cost
0
f_measure
0.839746 [1,0.8,0.945274,0.917706,0.830287,0.924205,0.557545,0.887324,0.977099,0.558025]
kappa
0.822778
kb_relative_information_score
1524.192734
mean_absolute_error
0.071162
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.840323 [1,0.821053,0.940594,0.915423,0.868852,0.904306,0.570681,0.836283,0.994819,0.55122]
predictive_accuracy
0.8405
prior_entropy
3.321928
recall
0.8405 [1,0.78,0.95,0.92,0.795,0.945,0.545,0.945,0.96,0.565]
relative_absolute_error
0.395346
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.163021
root_relative_squared_error
0.543404
total_cost
0
area_under_roc_curve
0.982722 [1,0.986111,0.994722,0.995278,0.9775,1,0.921667,0.994722,1,0.957222]
area_under_roc_curve
0.984389 [1,0.973333,0.9975,0.991944,0.972778,0.991389,0.965,0.991667,0.999444,0.960833]
area_under_roc_curve
0.982111 [1,0.981944,1,0.984722,0.994444,0.992778,0.920556,0.991111,1,0.955556]
area_under_roc_curve
0.9875 [1,0.985278,0.995,0.998333,0.993056,0.994167,0.967778,0.994722,0.999167,0.9475]
area_under_roc_curve
0.982028 [1,0.961111,0.998056,0.994722,0.986944,0.993333,0.952222,0.993333,1,0.940556]
area_under_roc_curve
0.985389 [1,0.976667,0.999722,0.996111,0.988333,0.9925,0.953333,0.995,0.999444,0.952778]
area_under_roc_curve
0.984944 [1,0.978611,0.998889,0.998889,0.984167,0.984444,0.972778,0.991111,1,0.940556]
area_under_roc_curve
0.986389 [1,0.961944,0.998611,0.998056,0.983056,0.998056,0.960833,0.996111,0.999167,0.968056]
area_under_roc_curve
0.984778 [1,0.985,1,0.998056,0.981944,0.986667,0.951667,0.997778,1,0.946667]
area_under_roc_curve
0.978917 [1,0.975278,0.991111,0.996111,0.951389,0.999444,0.936667,0.993056,0.998333,0.947778]
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
0.82407 [1,0.809524,0.926829,0.947368,0.85,1,0.378378,0.878049,0.974359,0.47619]
f_measure
0.823224 [1,0.810811,0.926829,0.9,0.722222,0.837209,0.571429,0.837209,0.974359,0.652174]
f_measure
0.848605 [1,0.780488,0.974359,0.780488,0.857143,0.923077,0.571429,0.871795,1,0.727273]
f_measure
0.844373 [1,0.820513,0.974359,0.97561,0.772727,0.878049,0.65,0.871795,0.974359,0.526316]
f_measure
0.801531 [1,0.666667,0.947368,0.926829,0.777778,0.909091,0.473684,0.826087,1,0.487805]
f_measure
0.8622 [1,0.871795,0.97561,0.9,0.894737,0.926829,0.636364,0.952381,0.95,0.514286]
f_measure
0.867754 [1,0.820513,0.947368,0.926829,0.833333,0.904762,0.727273,0.888889,1,0.628571]
f_measure
0.855003 [1,0.780488,0.95,0.97561,0.842105,0.947368,0.619048,0.909091,0.947368,0.578947]
f_measure
0.853132 [1,0.857143,0.952381,0.952381,0.864865,0.95,0.5,0.909091,1,0.545455]
f_measure
0.812377 [1,0.780488,0.883721,0.888889,0.888889,0.97561,0.4,0.930233,0.947368,0.428571]
kappa
0.805556
kappa
0.805556
kappa
0.833333
kappa
0.827778
kappa
0.783333
kappa
0.85
kappa
0.855556
kappa
0.838889
kappa
0.838889
kappa
0.788889
kb_relative_information_score
152.245808
kb_relative_information_score
153.76384
kb_relative_information_score
151.710307
kb_relative_information_score
153.125139
kb_relative_information_score
148.967191
kb_relative_information_score
153.100553
kb_relative_information_score
152.656004
kb_relative_information_score
154.38865
kb_relative_information_score
155.444902
kb_relative_information_score
148.79034
mean_absolute_error
0.072063
mean_absolute_error
0.068942
mean_absolute_error
0.071165
mean_absolute_error
0.071465
mean_absolute_error
0.074395
mean_absolute_error
0.07113
mean_absolute_error
0.07136
mean_absolute_error
0.069757
mean_absolute_error
0.068117
mean_absolute_error
0.073229
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
0.825094 [1,0.772727,0.904762,1,0.85,1,0.411765,0.857143,1,0.454545]
precision
0.830842 [1,0.882353,0.904762,0.9,0.8125,0.782609,0.666667,0.782609,1,0.576923]
precision
0.851743 [1,0.761905,1,0.761905,0.818182,0.947368,0.666667,0.894737,1,0.666667]
precision
0.846025 [1,0.842105,1,0.952381,0.708333,0.857143,0.65,0.894737,1,0.555556]
precision
0.807005 [1,0.75,1,0.904762,0.875,0.833333,0.5,0.730769,1,0.47619]
precision
0.863875 [1,0.894737,0.952381,0.9,0.944444,0.904762,0.583333,0.909091,0.95,0.6]
precision
0.8748 [1,0.842105,1,0.904762,0.9375,0.863636,0.666667,0.8,1,0.733333]
precision
0.858853 [1,0.761905,0.95,0.952381,0.888889,1,0.590909,0.833333,1,0.611111]
precision
0.860519 [1,1,0.909091,0.909091,0.941176,0.95,0.5625,0.833333,1,0.5]
precision
0.821903 [1,0.761905,0.826087,1,1,0.952381,0.4,0.869565,1,0.409091]
predictive_accuracy
0.825
predictive_accuracy
0.825
predictive_accuracy
0.85
predictive_accuracy
0.845
predictive_accuracy
0.805
predictive_accuracy
0.865
predictive_accuracy
0.87
predictive_accuracy
0.855
predictive_accuracy
0.855
predictive_accuracy
0.81
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
0.825 [1,0.85,0.95,0.9,0.85,1,0.35,0.9,0.95,0.5]
recall
0.825 [1,0.75,0.95,0.9,0.65,0.9,0.5,0.9,0.95,0.75]
recall
0.85 [1,0.8,0.95,0.8,0.9,0.9,0.5,0.85,1,0.8]
recall
0.845 [1,0.8,0.95,1,0.85,0.9,0.65,0.85,0.95,0.5]
recall
0.805 [1,0.6,0.9,0.95,0.7,1,0.45,0.95,1,0.5]
recall
0.865 [1,0.85,1,0.9,0.85,0.95,0.7,1,0.95,0.45]
recall
0.87 [1,0.8,0.9,0.95,0.75,0.95,0.8,1,1,0.55]
recall
0.855 [1,0.8,0.95,1,0.8,0.9,0.65,1,0.9,0.55]
recall
0.855 [1,0.75,1,1,0.8,0.95,0.45,1,1,0.6]
recall
0.81 [1,0.8,0.95,0.8,0.8,1,0.4,1,0.9,0.45]
relative_absolute_error
0.400353
relative_absolute_error
0.383012
relative_absolute_error
0.395362
relative_absolute_error
0.397025
relative_absolute_error
0.413307
relative_absolute_error
0.395169
relative_absolute_error
0.396444
relative_absolute_error
0.387541
relative_absolute_error
0.378426
relative_absolute_error
0.406826
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
0.164442
root_mean_squared_error
0.164277
root_mean_squared_error
0.163383
root_mean_squared_error
0.160789
root_mean_squared_error
0.170005
root_mean_squared_error
0.159524
root_mean_squared_error
0.162581
root_mean_squared_error
0.159504
root_mean_squared_error
0.15567
root_mean_squared_error
0.169491
root_relative_squared_error
0.54814
root_relative_squared_error
0.547589
root_relative_squared_error
0.544609
root_relative_squared_error
0.535964
root_relative_squared_error
0.566685
root_relative_squared_error
0.531745
root_relative_squared_error
0.541937
root_relative_squared_error
0.53168
root_relative_squared_error
0.518901
root_relative_squared_error
0.56497
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