2335737
1856
Miguel Cachada
14
Supervised Classification
6007
weka.AttributeSelectedClassifier_RandomForest(2)
415971
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 1.0 -V 0.001 -S 1
P
80
5923
I
100
5923
num-slots
1
5923
K
250
5923
M
1.0
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
5627938
description
https://api.openml.org/data/download/5627938/weka_generated_run3030918722482801243.xml
-1
5627940
model_readable
https://api.openml.org/data/download/5627940/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier455407309290313339.model
-1
5627939
model_serialized
https://api.openml.org/data/download/5627939/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier8564330844497142896.model
-1
5627941
predictions
https://api.openml.org/data/download/5627941/weka_generated_predictions5228649842435082049.arff
area_under_roc_curve
0.981861 [0.999797,0.973321,0.991094,0.991682,0.981579,0.990531,0.947779,0.989757,0.996403,0.956669]
average_cost
0
f_measure
0.833936 [0.982544,0.778055,0.935323,0.897436,0.80916,0.888889,0.594595,0.897196,0.957179,0.598985]
kappa
0.815556
kb_relative_information_score
1638.104296
mean_absolute_error
0.052135
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.835095 [0.9801,0.776119,0.930693,0.921053,0.823834,0.919786,0.584541,0.842105,0.964467,0.608247]
predictive_accuracy
0.834
prior_entropy
3.321928
recall
0.834 [0.985,0.78,0.94,0.875,0.795,0.86,0.605,0.96,0.95,0.59]
relative_absolute_error
0.289639
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.153306
root_relative_squared_error
0.511018
total_cost
0
area_under_roc_curve
0.983417 [1,0.982361,0.994722,0.993611,0.983333,1,0.931389,0.9975,0.999722,0.951528]
area_under_roc_curve
0.983833 [0.999306,0.982778,0.992917,0.988472,0.976944,0.985833,0.957917,0.995,1,0.959167]
area_under_roc_curve
0.977361 [1,0.975,0.997361,0.9725,0.989722,0.989722,0.929028,0.96375,1,0.956528]
area_under_roc_curve
0.987528 [0.999722,0.974583,0.996806,0.997778,0.985972,0.994306,0.974722,0.997083,0.99875,0.955556]
area_under_roc_curve
0.982792 [1,0.972083,0.998611,0.997778,0.98625,0.988333,0.956111,0.984444,0.998889,0.945417]
area_under_roc_curve
0.984028 [1,0.973056,0.999722,0.994583,0.991389,0.96625,0.959722,0.993194,0.999722,0.962639]
area_under_roc_curve
0.985319 [1,0.984167,0.969167,0.998333,0.983333,0.989583,0.982222,0.989861,1,0.956528]
area_under_roc_curve
0.979944 [0.99875,0.9725,0.999722,0.995139,0.97375,0.998889,0.933889,0.992639,0.968056,0.966111]
area_under_roc_curve
0.985375 [1,0.966667,1,0.998056,0.985694,0.992222,0.950694,0.996389,1,0.964028]
area_under_roc_curve
0.971556 [1,0.955139,0.964861,0.982222,0.971389,0.999444,0.899306,0.99375,0.997917,0.951528]
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
0.825651 [1,0.829268,0.9,0.894737,0.809524,0.947368,0.5,0.9,0.97561,0.5]
f_measure
0.825105 [0.974359,0.809524,0.894737,0.894737,0.756757,0.8,0.615385,0.888889,0.95,0.666667]
f_measure
0.823546 [1,0.681818,0.923077,0.823529,0.883721,0.871795,0.484848,0.9,1,0.666667]
f_measure
0.843465 [0.95,0.777778,0.95,0.930233,0.782609,0.833333,0.682927,0.904762,0.974359,0.648649]
f_measure
0.817304 [0.97561,0.769231,0.974359,0.926829,0.742857,0.85,0.564103,0.844444,0.97561,0.55]
f_measure
0.8575 [1,0.790698,0.952381,0.842105,0.833333,0.95,0.697674,0.930233,0.95,0.628571]
f_measure
0.874608 [1,0.780488,0.947368,0.923077,0.894737,0.904762,0.772727,0.837209,1,0.685714]
f_measure
0.819681 [0.95,0.717949,0.952381,0.9,0.736842,0.864865,0.652174,0.909091,0.864865,0.648649]
f_measure
0.852981 [0.97561,0.857143,0.97561,0.930233,0.85,0.918919,0.514286,0.930233,1,0.577778]
f_measure
0.79175 [1,0.780488,0.883721,0.888889,0.789474,0.947368,0.425532,0.930233,0.871795,0.4]
kappa
0.805556
kappa
0.805556
kappa
0.805556
kappa
0.827778
kappa
0.8
kappa
0.844444
kappa
0.861111
kappa
0.8
kappa
0.838889
kappa
0.766667
kb_relative_information_score
164.855891
kb_relative_information_score
160.720025
kb_relative_information_score
161.466776
kb_relative_information_score
164.188032
kb_relative_information_score
162.580968
kb_relative_information_score
166.014697
kb_relative_information_score
166.373072
kb_relative_information_score
163.767136
kb_relative_information_score
167.723707
kb_relative_information_score
160.413992
mean_absolute_error
0.05115
mean_absolute_error
0.05565
mean_absolute_error
0.05364
mean_absolute_error
0.05181
mean_absolute_error
0.05351
mean_absolute_error
0.05044
mean_absolute_error
0.04937
mean_absolute_error
0.05271
mean_absolute_error
0.04807
mean_absolute_error
0.055
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
0.827908 [1,0.809524,0.9,0.944444,0.772727,1,0.5,0.9,0.952381,0.5]
precision
0.830309 [1,0.772727,0.944444,0.944444,0.823529,0.8,0.631579,0.8,0.95,0.636364]
precision
0.838001 [1,0.625,0.947368,1,0.826087,0.894737,0.615385,0.9,1,0.571429]
precision
0.851056 [0.95,0.875,0.95,0.869565,0.692308,0.9375,0.666667,0.863636,1,0.705882]
precision
0.820461 [0.952381,0.789474,1,0.904762,0.866667,0.85,0.578947,0.76,0.952381,0.55]
precision
0.862968 [1,0.73913,0.909091,0.888889,0.9375,0.95,0.652174,0.869565,0.95,0.733333]
precision
0.88083 [1,0.761905,1,0.947368,0.944444,0.863636,0.708333,0.782609,1,0.8]
precision
0.82722 [0.95,0.736842,0.909091,0.9,0.777778,0.941176,0.576923,0.833333,0.941176,0.705882]
precision
0.861389 [0.952381,1,0.952381,0.869565,0.85,1,0.6,0.869565,1,0.52]
precision
0.802266 [1,0.761905,0.826087,1,0.833333,1,0.37037,0.869565,0.894737,0.466667]
predictive_accuracy
0.825
predictive_accuracy
0.825
predictive_accuracy
0.825
predictive_accuracy
0.845
predictive_accuracy
0.82
predictive_accuracy
0.86
predictive_accuracy
0.875
predictive_accuracy
0.82
predictive_accuracy
0.855
predictive_accuracy
0.79
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 [1,0.85,0.9,0.85,0.85,0.9,0.5,0.9,1,0.5]
recall
0.825 [0.95,0.85,0.85,0.85,0.7,0.8,0.6,1,0.95,0.7]
recall
0.825 [1,0.75,0.9,0.7,0.95,0.85,0.4,0.9,1,0.8]
recall
0.845 [0.95,0.7,0.95,1,0.9,0.75,0.7,0.95,0.95,0.6]
recall
0.82 [1,0.75,0.95,0.95,0.65,0.85,0.55,0.95,1,0.55]
recall
0.86 [1,0.85,1,0.8,0.75,0.95,0.75,1,0.95,0.55]
recall
0.875 [1,0.8,0.9,0.9,0.85,0.95,0.85,0.9,1,0.6]
recall
0.82 [0.95,0.7,1,0.9,0.7,0.8,0.75,1,0.8,0.6]
recall
0.855 [1,0.75,1,1,0.85,0.85,0.45,1,1,0.65]
recall
0.79 [1,0.8,0.95,0.8,0.75,0.9,0.5,1,0.85,0.35]
relative_absolute_error
0.284167
relative_absolute_error
0.309167
relative_absolute_error
0.298
relative_absolute_error
0.287833
relative_absolute_error
0.297278
relative_absolute_error
0.280222
relative_absolute_error
0.274278
relative_absolute_error
0.292833
relative_absolute_error
0.267056
relative_absolute_error
0.305556
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
0.152407
root_mean_squared_error
0.161576
root_mean_squared_error
0.158442
root_mean_squared_error
0.15095
root_mean_squared_error
0.157946
root_mean_squared_error
0.146699
root_mean_squared_error
0.144739
root_mean_squared_error
0.155798
root_mean_squared_error
0.142047
root_mean_squared_error
0.16104
root_relative_squared_error
0.508022
root_relative_squared_error
0.538586
root_relative_squared_error
0.528139
root_relative_squared_error
0.503168
root_relative_squared_error
0.526487
root_relative_squared_error
0.488998
root_relative_squared_error
0.482464
root_relative_squared_error
0.519328
root_relative_squared_error
0.473489
root_relative_squared_error
0.536801
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