3883229
1856
Miguel Cachada
14
Supervised Classification
6886
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_IBk(1)
1919470
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.unsupervised.attribute.Standardize " -W weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.lazy.IBk -- -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
K
1
5918
W
0
5918
A
true
5918
P
100
6816
S
1
6816
I
10
6816
W
weka.classifiers.lazy.IBk
6816
F
weka.filters.unsupervised.attribute.Standardize
6886
W
weka.classifiers.meta.AttributeSelectedClassifier
6886
E
weka.attributeSelection.CfsSubsetEval -P 1 -E 1
6887
S
weka.attributeSelection.BestFirst -D 1 -N 5
6887
W
weka.classifiers.meta.AdaBoostM1
6887
study_70
weka
weka_3.8.1
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
8737635
description
https://api.openml.org/data/download/8737635/weka_generated_run7020575326721343785.xml
-1
8737637
model_readable
https://api.openml.org/data/download/8737637/WekaModel_weka.classifiers.meta.FilteredClassifier2452060236660333350.model
-1
8737636
model_serialized
https://api.openml.org/data/download/8737636/WekaSerialized_weka.classifiers.meta.FilteredClassifier2993296097891774043.model
-1
8737638
predictions
https://api.openml.org/data/download/8737638/weka_generated_predictions7849058745341052342.arff
area_under_roc_curve
0.906298 [1,0.908511,0.975883,0.947872,0.933744,0.943433,0.698106,0.946767,0.988633,0.720028]
average_cost
0
f_measure
0.832385 [1,0.819512,0.962217,0.927835,0.882206,0.927083,0.45614,0.883495,0.977556,0.487805]
kappa
0.812222
kb_relative_information_score
1643.021614
mean_absolute_error
0.034606
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
precision
0.83459 [1,0.8,0.969543,0.957447,0.884422,0.967391,0.457286,0.858491,0.975124,0.47619]
predictive_accuracy
0.831
prior_entropy
3.321928
recall
0.831 [1,0.84,0.955,0.9,0.88,0.89,0.455,0.91,0.98,0.5]
relative_absolute_error
0.192257
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.183347
root_relative_squared_error
0.611156
scimark_benchmark
1428.975561402504 [860.9282429886063, 1015.2555353338006, 604.4142032478469, 1253.0783893115536, 3411.201436130711]
total_cost
0
usercpu_time_millis
1190
usercpu_time_millis_testing
590
usercpu_time_millis_training
600
area_under_roc_curve
0.894444 [1,0.958333,0.994444,0.9,0.913889,0.95,0.619444,0.922222,1,0.686111]
area_under_roc_curve
0.906014 [1,0.919861,0.9475,0.975,0.933611,0.922639,0.69875,0.941944,0.975139,0.745694]
area_under_roc_curve
0.917069 [1,0.917083,1,0.950278,0.988889,0.947361,0.695972,0.972361,1,0.69875]
area_under_roc_curve
0.925 [1,0.922222,0.975,0.991667,0.975,0.925,0.747222,0.991667,0.975,0.747222]
area_under_roc_curve
0.883333 [1,0.808333,0.975,0.869444,0.944444,0.944444,0.647222,0.911111,0.994444,0.738889]
area_under_roc_curve
0.916667 [1,0.911111,1,0.894444,0.919444,0.947222,0.752778,0.941667,1,0.8]
area_under_roc_curve
0.908333 [1,0.908333,0.95,0.997222,0.922222,0.925,0.766667,0.936111,1,0.677778]
area_under_roc_curve
0.925 [1,0.908333,0.972222,0.975,0.922222,0.975,0.780556,0.941667,0.972222,0.802778]
area_under_roc_curve
0.911583 [1,0.914306,1,1,0.919861,0.900556,0.693194,0.969583,1,0.718333]
area_under_roc_curve
0.875625 [1,0.917083,0.944722,0.925417,0.897778,0.997222,0.579861,0.939167,0.969583,0.585417]
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
0.810002 [1,0.844444,0.952381,0.888889,0.829268,0.947368,0.324324,0.894737,1,0.418605]
f_measure
0.831991 [1,0.871795,0.923077,0.974359,0.818182,0.894737,0.461538,0.878049,0.974359,0.52381]
f_measure
0.849107 [1,0.85,1,0.947368,0.909091,0.923077,0.45,0.95,1,0.461538]
f_measure
0.867037 [1,0.894737,0.974359,0.930233,0.974359,0.918919,0.536585,0.930233,0.974359,0.536585]
f_measure
0.789212 [1,0.666667,0.974359,0.810811,0.9,0.9,0.378378,0.809524,0.952381,0.5]
f_measure
0.85077 [1,0.809524,1,0.842105,0.871795,0.923077,0.564103,0.878049,1,0.619048]
f_measure
0.835444 [1,0.790698,0.947368,0.97561,0.894737,0.918919,0.545455,0.837209,1,0.444444]
f_measure
0.866173 [1,0.790698,0.95,0.974359,0.894737,0.974359,0.615385,0.878049,0.95,0.634146]
f_measure
0.8432 [1,0.829268,1,1,0.871795,0.888889,0.439024,0.926829,1,0.47619]
f_measure
0.778146 [1,0.85,0.9,0.918919,0.864865,0.97561,0.238095,0.857143,0.926829,0.25]
kappa
0.788889
kappa
0.811111
kappa
0.833333
kappa
0.85
kappa
0.766667
kappa
0.833333
kappa
0.816667
kappa
0.85
kappa
0.822222
kappa
0.75
kb_relative_information_score
159.919647
kb_relative_information_score
164.094139
kb_relative_information_score
168.267551
kb_relative_information_score
171.39653
kb_relative_information_score
155.746235
kb_relative_information_score
168.266471
kb_relative_information_score
165.136412
kb_relative_information_score
171.39653
kb_relative_information_score
166.180845
kb_relative_information_score
152.617256
mean_absolute_error
0.038784
mean_absolute_error
0.034804
mean_absolute_error
0.030826
mean_absolute_error
0.027845
mean_absolute_error
0.042762
mean_absolute_error
0.030828
mean_absolute_error
0.033812
mean_absolute_error
0.027845
mean_absolute_error
0.032815
mean_absolute_error
0.045743
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
0.81673 [1,0.76,0.909091,1,0.809524,1,0.352941,0.944444,1,0.391304]
precision
0.836738 [1,0.894737,0.947368,1,0.75,0.944444,0.473684,0.857143,1,0.5]
precision
0.850439 [1,0.85,1,1,0.833333,0.947368,0.45,0.95,1,0.473684]
precision
0.873119 [1,0.944444,1,0.869565,1,1,0.52381,0.869565,1,0.52381]
precision
0.791848 [1,0.684211,1,0.882353,0.9,0.9,0.411765,0.772727,0.909091,0.458333]
precision
0.853072 [1,0.772727,1,0.888889,0.894737,0.947368,0.578947,0.857143,1,0.590909]
precision
0.841856 [1,0.73913,1,0.952381,0.944444,1,0.5,0.782609,1,0.5]
precision
0.869134 [1,0.73913,0.95,1,0.944444,1,0.631579,0.857143,0.95,0.619048]
precision
0.849214 [1,0.809524,1,1,0.894737,1,0.428571,0.904762,1,0.454545]
precision
0.784377 [1,0.85,0.9,1,0.941176,0.952381,0.227273,0.818182,0.904762,0.25]
predictive_accuracy
0.81
predictive_accuracy
0.83
predictive_accuracy
0.85
predictive_accuracy
0.865
predictive_accuracy
0.79
predictive_accuracy
0.85
predictive_accuracy
0.835
predictive_accuracy
0.865
predictive_accuracy
0.84
predictive_accuracy
0.775
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
0.81 [1,0.95,1,0.8,0.85,0.9,0.3,0.85,1,0.45]
recall
0.83 [1,0.85,0.9,0.95,0.9,0.85,0.45,0.9,0.95,0.55]
recall
0.85 [1,0.85,1,0.9,1,0.9,0.45,0.95,1,0.45]
recall
0.865 [1,0.85,0.95,1,0.95,0.85,0.55,1,0.95,0.55]
recall
0.79 [1,0.65,0.95,0.75,0.9,0.9,0.35,0.85,1,0.55]
recall
0.85 [1,0.85,1,0.8,0.85,0.9,0.55,0.9,1,0.65]
recall
0.835 [1,0.85,0.9,1,0.85,0.85,0.6,0.9,1,0.4]
recall
0.865 [1,0.85,0.95,0.95,0.85,0.95,0.6,0.9,0.95,0.65]
recall
0.84 [1,0.85,1,1,0.85,0.8,0.45,0.95,1,0.5]
recall
0.775 [1,0.85,0.9,0.85,0.8,1,0.25,0.9,0.95,0.25]
relative_absolute_error
0.215467
relative_absolute_error
0.193354
relative_absolute_error
0.171254
relative_absolute_error
0.154694
relative_absolute_error
0.237567
relative_absolute_error
0.171268
relative_absolute_error
0.187843
relative_absolute_error
0.154694
relative_absolute_error
0.182304
relative_absolute_error
0.254127
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
0.194404
root_mean_squared_error
0.183888
root_mean_squared_error
0.172734
root_mean_squared_error
0.163871
root_mean_squared_error
0.204379
root_mean_squared_error
0.172734
root_mean_squared_error
0.181164
root_mean_squared_error
0.163871
root_mean_squared_error
0.178398
root_mean_squared_error
0.211552
root_relative_squared_error
0.648013
root_relative_squared_error
0.612961
root_relative_squared_error
0.57578
root_relative_squared_error
0.546236
root_relative_squared_error
0.681263
root_relative_squared_error
0.57578
root_relative_squared_error
0.603881
root_relative_squared_error
0.546236
root_relative_squared_error
0.594661
root_relative_squared_error
0.705173
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
usercpu_time_millis
1200
usercpu_time_millis
600
usercpu_time_millis
500
usercpu_time_millis
460
usercpu_time_millis
470
usercpu_time_millis
430
usercpu_time_millis
590
usercpu_time_millis
440
usercpu_time_millis
460
usercpu_time_millis
450
usercpu_time_millis_testing
50
usercpu_time_millis_testing
70
usercpu_time_millis_testing
40
usercpu_time_millis_testing
50
usercpu_time_millis_testing
70
usercpu_time_millis_testing
70
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_training
1150
usercpu_time_millis_training
530
usercpu_time_millis_training
460
usercpu_time_millis_training
410
usercpu_time_millis_training
400
usercpu_time_millis_training
360
usercpu_time_millis_training
570
usercpu_time_millis_training
420
usercpu_time_millis_training
430
usercpu_time_millis_training
420