2347121
1856
Miguel Cachada
14
Supervised Classification
6073
weka.AttributeSelectedClassifier_IBk(2)
423849
weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.lazy.IBk -- -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
I
true
5918
K
5
5918
W
0
5918
A
true
5918
E
weka.attributeSelection.CfsSubsetEval -P 1 -E 1
6073
S
weka.attributeSelection.BestFirst -D 1 -N 5
6073
W
weka.classifiers.lazy.IBk
6073
study_70
weka
weka_3.8.1
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
5653215
description
https://www.openml.org/data/download/5653215/weka_generated_run6835342180606199999.xml
-1
5653217
model_readable
https://www.openml.org/data/download/5653217/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier3698943135772127283.model
-1
5653216
model_serialized
https://www.openml.org/data/download/5653216/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier4215333634314454371.model
-1
5653218
predictions
https://www.openml.org/data/download/5653218/weka_generated_predictions1487251861090514400.arff
area_under_roc_curve
0.973116 [1,0.949903,0.991803,0.98754,0.975817,0.997999,0.907767,0.991768,0.999194,0.929371]
average_cost
0
f_measure
0.840082 [1,0.808824,0.964646,0.927835,0.888889,0.938144,0.478723,0.883178,0.982544,0.528037]
kappa
0.821667
kb_relative_information_score
1708.620619
mean_absolute_error
0.040203
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.84291 [1,0.793269,0.97449,0.957447,0.919786,0.968085,0.511364,0.828947,0.9801,0.495614]
predictive_accuracy
0.8395
prior_entropy
3.321928
recall
0.8395 [1,0.825,0.955,0.9,0.86,0.91,0.45,0.945,0.985,0.565]
relative_absolute_error
0.223351
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.150774
root_relative_squared_error
0.502579
total_cost
0
area_under_roc_curve
0.974736 [1,0.992222,1,0.962778,0.995,0.999722,0.906806,0.995556,1,0.895278]
area_under_roc_curve
0.978 [1,0.940278,0.999444,0.969028,0.992778,0.993889,0.936806,0.992639,0.997083,0.958056]
area_under_roc_curve
0.974028 [1,0.949167,1,0.990556,0.996944,0.999444,0.851667,0.994167,1,0.958333]
area_under_roc_curve
0.979458 [1,0.984167,0.97625,1,1,1,0.895278,0.994167,0.999167,0.945556]
area_under_roc_curve
0.964597 [1,0.854722,1,0.978333,0.9925,0.999444,0.918333,0.98125,1,0.921389]
area_under_roc_curve
0.981375 [1,0.937361,0.999722,0.998056,0.987917,1,0.94625,0.993333,1,0.951111]
area_under_roc_curve
0.971542 [1,0.942917,0.941389,0.998056,0.979444,0.997222,0.949167,0.986944,1,0.920278]
area_under_roc_curve
0.973028 [1,0.951806,0.998611,1,0.900694,0.999722,0.936111,0.993056,0.999722,0.950556]
area_under_roc_curve
0.98125 [1,0.964861,1,0.999444,0.993611,0.99625,0.947778,0.9975,1,0.913056]
area_under_roc_curve
0.954361 [1,0.984028,0.991944,0.984444,0.911806,0.999722,0.800694,0.991667,0.995833,0.883472]
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
0.811303 [1,0.863636,0.974359,0.918919,0.871795,0.974359,0.242424,0.857143,0.97561,0.434783]
f_measure
0.841727 [1,0.8,0.974359,0.894737,0.842105,0.842105,0.615385,0.869565,0.974359,0.604651]
f_measure
0.854143 [1,0.780488,1,0.894737,0.863636,0.923077,0.564103,0.9,1,0.615385]
f_measure
0.871992 [1,0.85,0.974359,0.952381,0.974359,0.947368,0.619048,0.878049,0.974359,0.55]
f_measure
0.804763 [1,0.736842,0.974359,0.871795,0.894737,0.97561,0.410256,0.818182,0.97561,0.390244]
f_measure
0.861233 [1,0.829268,0.97561,0.918919,0.923077,0.974359,0.486486,0.926829,1,0.577778]
f_measure
0.824504 [1,0.780488,0.947368,0.95,0.820513,0.894737,0.5,0.818182,0.97561,0.55814]
f_measure
0.867602 [1,0.871795,0.95,1,0.894737,0.974359,0.470588,0.930233,0.97561,0.608696]
f_measure
0.849037 [1,0.744186,1,0.95,0.888889,0.918919,0.470588,0.909091,1,0.608696]
f_measure
0.807953 [1,0.829268,0.878049,0.918919,0.918919,0.95,0.372093,0.930233,0.974359,0.307692]
kappa
0.794444
kappa
0.822222
kappa
0.838889
kappa
0.855556
kappa
0.783333
kappa
0.844444
kappa
0.805556
kappa
0.855556
kappa
0.833333
kappa
0.783333
kb_relative_information_score
170.336853
kb_relative_information_score
172.501286
kb_relative_information_score
171.333151
kb_relative_information_score
175.515114
kb_relative_information_score
165.125414
kb_relative_information_score
174.842928
kb_relative_information_score
168.244258
kb_relative_information_score
174.03467
kb_relative_information_score
173.458505
kb_relative_information_score
163.22844
mean_absolute_error
0.040476
mean_absolute_error
0.038695
mean_absolute_error
0.040202
mean_absolute_error
0.034388
mean_absolute_error
0.047199
mean_absolute_error
0.036162
mean_absolute_error
0.043021
mean_absolute_error
0.037306
mean_absolute_error
0.037445
mean_absolute_error
0.047137
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
0.814927 [1,0.791667,1,1,0.894737,1,0.307692,0.818182,0.952381,0.384615]
precision
0.848825 [1,0.8,1,0.944444,0.888889,0.888889,0.631579,0.769231,1,0.565217]
precision
0.855591 [1,0.761905,1,0.944444,0.791667,0.947368,0.578947,0.9,1,0.631579]
precision
0.875714 [1,0.85,1,0.909091,1,1,0.590909,0.857143,1,0.55]
precision
0.807373 [1,0.777778,1,0.894737,0.944444,0.952381,0.421053,0.75,0.952381,0.380952]
precision
0.866345 [1,0.809524,0.952381,1,0.947368,1,0.529412,0.904762,1,0.52]
precision
0.828507 [1,0.761905,1,0.95,0.842105,0.944444,0.5625,0.75,0.952381,0.521739]
precision
0.872102 [1,0.894737,0.95,1,0.944444,1,0.571429,0.869565,0.952381,0.538462]
precision
0.858888 [1,0.695652,1,0.95,1,1,0.571429,0.833333,1,0.538462]
precision
0.814985 [1,0.809524,0.857143,1,1,0.95,0.347826,0.869565,1,0.315789]
predictive_accuracy
0.815
predictive_accuracy
0.84
predictive_accuracy
0.855
predictive_accuracy
0.87
predictive_accuracy
0.805
predictive_accuracy
0.86
predictive_accuracy
0.825
predictive_accuracy
0.87
predictive_accuracy
0.85
predictive_accuracy
0.805
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
0.815 [1,0.95,0.95,0.85,0.85,0.95,0.2,0.9,1,0.5]
recall
0.84 [1,0.8,0.95,0.85,0.8,0.8,0.6,1,0.95,0.65]
recall
0.855 [1,0.8,1,0.85,0.95,0.9,0.55,0.9,1,0.6]
recall
0.87 [1,0.85,0.95,1,0.95,0.9,0.65,0.9,0.95,0.55]
recall
0.805 [1,0.7,0.95,0.85,0.85,1,0.4,0.9,1,0.4]
recall
0.86 [1,0.85,1,0.85,0.9,0.95,0.45,0.95,1,0.65]
recall
0.825 [1,0.8,0.9,0.95,0.8,0.85,0.45,0.9,1,0.6]
recall
0.87 [1,0.85,0.95,1,0.85,0.95,0.4,1,1,0.7]
recall
0.85 [1,0.8,1,0.95,0.8,0.85,0.4,1,1,0.7]
recall
0.805 [1,0.85,0.9,0.85,0.85,0.95,0.4,1,0.95,0.3]
relative_absolute_error
0.224869
relative_absolute_error
0.214973
relative_absolute_error
0.223347
relative_absolute_error
0.191044
relative_absolute_error
0.262216
relative_absolute_error
0.200902
relative_absolute_error
0.239005
relative_absolute_error
0.207255
relative_absolute_error
0.20803
relative_absolute_error
0.26187
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
0.153035
root_mean_squared_error
0.147024
root_mean_squared_error
0.148843
root_mean_squared_error
0.136943
root_mean_squared_error
0.165941
root_mean_squared_error
0.138448
root_mean_squared_error
0.158804
root_mean_squared_error
0.142364
root_mean_squared_error
0.141041
root_mean_squared_error
0.171175
root_relative_squared_error
0.510115
root_relative_squared_error
0.49008
root_relative_squared_error
0.496144
root_relative_squared_error
0.456478
root_relative_squared_error
0.553136
root_relative_squared_error
0.461495
root_relative_squared_error
0.529347
root_relative_squared_error
0.474545
root_relative_squared_error
0.470137
root_relative_squared_error
0.570583
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