2337659
1856
Miguel Cachada
14
Supervised Classification
6007
weka.AttributeSelectedClassifier_RandomForest(2)
417242
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 250 -M 10.0 -V 0.001 -S 1
P
80
5923
I
100
5923
num-slots
1
5923
K
250
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
5632078
description
https://www.openml.org/data/download/5632078/weka_generated_run6802050314045486559.xml
-1
5632080
model_readable
https://www.openml.org/data/download/5632080/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier8893304367273869988.model
-1
5632079
model_serialized
https://www.openml.org/data/download/5632079/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier4116788331943479237.model
-1
5632081
predictions
https://www.openml.org/data/download/5632081/weka_generated_predictions1707842690185457247.arff
area_under_roc_curve
0.981425 [0.999721,0.971446,0.991685,0.988114,0.980256,0.990578,0.949033,0.990422,0.997449,0.955547]
average_cost
0
f_measure
0.821704 [0.977556,0.735294,0.919598,0.869565,0.793893,0.88491,0.592965,0.881119,0.954545,0.607595]
kappa
0.802222
kb_relative_information_score
1601.809198
mean_absolute_error
0.056606
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.822558 [0.975124,0.721154,0.924242,0.890052,0.80829,0.905759,0.59596,0.825328,0.964286,0.615385]
predictive_accuracy
0.822
prior_entropy
3.321928
recall
0.822 [0.98,0.75,0.915,0.85,0.78,0.865,0.59,0.945,0.945,0.6]
relative_absolute_error
0.314479
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.158771
root_relative_squared_error
0.529236
total_cost
0
area_under_roc_curve
0.982389 [1,0.980833,0.992778,0.989444,0.977778,1,0.933889,0.996944,0.998889,0.953333]
area_under_roc_curve
0.981833 [0.998889,0.978333,0.990556,0.983889,0.973889,0.984444,0.959722,0.993333,0.999722,0.955556]
area_under_roc_curve
0.977458 [1,0.973611,0.9975,0.97,0.986944,0.989722,0.919861,0.981944,1,0.955]
area_under_roc_curve
0.985 [0.999722,0.968611,0.995278,0.995,0.980556,0.992778,0.971389,0.996389,0.999444,0.950833]
area_under_roc_curve
0.982528 [1,0.970278,0.996389,0.996389,0.988333,0.991389,0.960833,0.981944,0.998889,0.940833]
area_under_roc_curve
0.983611 [1,0.972222,0.999444,0.992222,0.987222,0.979722,0.954444,0.992778,0.999722,0.958333]
area_under_roc_curve
0.984208 [1,0.983333,0.962917,0.996389,0.983056,0.988889,0.978889,0.989722,1,0.958889]
area_under_roc_curve
0.981319 [0.998333,0.970278,0.999722,0.986111,0.976944,0.996111,0.940833,0.993333,0.982083,0.969444]
area_under_roc_curve
0.984444 [1,0.973056,0.999444,0.997778,0.983889,0.986389,0.946944,0.996667,1,0.960278]
area_under_roc_curve
0.975792 [1,0.959583,0.988056,0.979444,0.973333,0.996389,0.916944,0.993611,0.997778,0.952778]
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
0.825134 [1,0.772727,0.9,0.894737,0.809524,0.947368,0.571429,0.9,0.9,0.555556]
f_measure
0.800478 [0.974359,0.780488,0.864865,0.8,0.742857,0.809524,0.6,0.863636,0.95,0.619048]
f_measure
0.809881 [1,0.681818,0.918919,0.777778,0.844444,0.894737,0.457143,0.871795,1,0.652174]
f_measure
0.828034 [0.95,0.722222,0.926829,0.930233,0.75,0.8,0.7,0.878049,0.974359,0.648649]
f_measure
0.781077 [0.97561,0.65,0.947368,0.926829,0.705882,0.85,0.5,0.791667,0.97561,0.487805]
f_measure
0.84827 [1,0.755556,0.95,0.789474,0.833333,0.926829,0.684211,0.909091,0.95,0.684211]
f_measure
0.859711 [0.974359,0.780488,0.9,0.947368,0.842105,0.857143,0.772727,0.837209,1,0.685714]
f_measure
0.82016 [0.95,0.682927,0.952381,0.871795,0.756757,0.894737,0.619048,0.909091,0.864865,0.7]
f_measure
0.841795 [0.97561,0.787879,0.95,0.909091,0.85,0.923077,0.514286,0.930233,1,0.577778]
f_measure
0.79526 [0.97561,0.744186,0.883721,0.823529,0.789474,0.947368,0.478261,0.930233,0.923077,0.457143]
kappa
0.805556
kappa
0.777778
kappa
0.788889
kappa
0.811111
kappa
0.761111
kappa
0.833333
kappa
0.844444
kappa
0.8
kappa
0.827778
kappa
0.772222
kb_relative_information_score
161.893498
kb_relative_information_score
157.043763
kb_relative_information_score
158.095152
kb_relative_information_score
160.086724
kb_relative_information_score
159.597209
kb_relative_information_score
161.991291
kb_relative_information_score
162.534243
kb_relative_information_score
158.917261
kb_relative_information_score
163.957112
kb_relative_information_score
157.692944
mean_absolute_error
0.055075
mean_absolute_error
0.060208
mean_absolute_error
0.058134
mean_absolute_error
0.05627
mean_absolute_error
0.057097
mean_absolute_error
0.055147
mean_absolute_error
0.054383
mean_absolute_error
0.057688
mean_absolute_error
0.052839
mean_absolute_error
0.059222
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
0.829596 [1,0.708333,0.9,0.944444,0.772727,1,0.545455,0.9,0.9,0.625]
precision
0.807505 [1,0.761905,0.941176,0.8,0.866667,0.772727,0.6,0.791667,0.95,0.590909]
precision
0.820944 [1,0.625,1,0.875,0.76,0.944444,0.533333,0.894737,1,0.576923]
precision
0.837604 [0.95,0.8125,0.904762,0.869565,0.642857,0.933333,0.7,0.857143,1,0.705882]
precision
0.788393 [0.952381,0.65,1,0.904762,0.857143,0.85,0.5625,0.678571,0.952381,0.47619]
precision
0.853337 [1,0.68,0.95,0.833333,0.9375,0.904762,0.722222,0.833333,0.95,0.722222]
precision
0.865992 [1,0.761905,0.9,1,0.888889,0.818182,0.708333,0.782609,1,0.8]
precision
0.825389 [0.95,0.666667,0.909091,0.894737,0.823529,0.944444,0.590909,0.833333,0.941176,0.7]
precision
0.852265 [0.952381,1,0.95,0.833333,0.85,0.947368,0.6,0.869565,1,0.52]
precision
0.80808 [0.952381,0.695652,0.826087,1,0.833333,1,0.423077,0.869565,0.947368,0.533333]
predictive_accuracy
0.825
predictive_accuracy
0.8
predictive_accuracy
0.81
predictive_accuracy
0.83
predictive_accuracy
0.785
predictive_accuracy
0.85
predictive_accuracy
0.86
predictive_accuracy
0.82
predictive_accuracy
0.845
predictive_accuracy
0.795
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 [1,0.85,0.9,0.85,0.85,0.9,0.6,0.9,0.9,0.5]
recall
0.8 [0.95,0.8,0.8,0.8,0.65,0.85,0.6,0.95,0.95,0.65]
recall
0.81 [1,0.75,0.85,0.7,0.95,0.85,0.4,0.85,1,0.75]
recall
0.83 [0.95,0.65,0.95,1,0.9,0.7,0.7,0.9,0.95,0.6]
recall
0.785 [1,0.65,0.9,0.95,0.6,0.85,0.45,0.95,1,0.5]
recall
0.85 [1,0.85,0.95,0.75,0.75,0.95,0.65,1,0.95,0.65]
recall
0.86 [0.95,0.8,0.9,0.9,0.8,0.9,0.85,0.9,1,0.6]
recall
0.82 [0.95,0.7,1,0.85,0.7,0.85,0.65,1,0.8,0.7]
recall
0.845 [1,0.65,0.95,1,0.85,0.9,0.45,1,1,0.65]
recall
0.795 [1,0.8,0.95,0.7,0.75,0.9,0.55,1,0.9,0.4]
relative_absolute_error
0.305973
relative_absolute_error
0.334491
relative_absolute_error
0.322968
relative_absolute_error
0.312609
relative_absolute_error
0.317203
relative_absolute_error
0.30637
relative_absolute_error
0.302127
relative_absolute_error
0.320487
relative_absolute_error
0.29355
relative_absolute_error
0.32901
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
0.15685
root_mean_squared_error
0.167046
root_mean_squared_error
0.16268
root_mean_squared_error
0.158547
root_mean_squared_error
0.161781
root_mean_squared_error
0.152915
root_mean_squared_error
0.151404
root_mean_squared_error
0.161974
root_mean_squared_error
0.148637
root_mean_squared_error
0.164821
root_relative_squared_error
0.522834
root_relative_squared_error
0.556821
root_relative_squared_error
0.542266
root_relative_squared_error
0.528491
root_relative_squared_error
0.539271
root_relative_squared_error
0.509716
root_relative_squared_error
0.504682
root_relative_squared_error
0.539912
root_relative_squared_error
0.495456
root_relative_squared_error
0.549402
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