593752
2
Joaquin Vanschoren
14
Supervised Classification
4002
weka.FilteredClassifier_MultiSearch_IBk(1)
6408
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.MultiFilter -F \"weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate \" -F \"weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\\\'T\\\'HH:mm:ss\" -F \"weka.filters.unsupervised.attribute.RemoveUseless -M 99.0\"" -W weka.classifiers.meta.MultiSearch -- -E ACC -search "weka.core.setupgenerator.MathParameter -property KNN -min 1.0 -max 50.0 -step 1.0 -base 10.0 -expression I" -class-label 1 -algorithm "weka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1 -num-slots 1" -log-file /home/rijnjnvan/apps/weka-3-7-13 -S 1 -W weka.classifiers.lazy.IBk -- -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
K
1
1721
W
0
1721
A
true
1721
F
weka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate " -F "weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\'T\'HH:mm:ss" -F "weka.filters.unsupervised.attribute.RemoveUseless -M 99.0"
4002
W
weka.classifiers.meta.MultiSearch
4002
E
ACC
4003
search
[weka.core.setupgenerator.MathParameter -property KNN -min 1.0 -max 50.0 -step 1.0 -base 10.0 -expression I]
4003
algorithm
weka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1 -num-slots 1
4003
log-file
/home/rijnjnvan/apps/weka-3-7-13
4003
S
1
4003
W
weka.classifiers.lazy.IBk
4003
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
2057935
description
https://www.openml.org/data/download/2057935/weka_generated_run4929784561681998989.xml
-1
2057939
model_readable
https://www.openml.org/data/download/2057939/WekaModel_weka.classifiers.meta.FilteredClassifier69017010814759561.model
-1
2057937
model_serialized
https://www.openml.org/data/download/2057937/WekaSerialized_weka.classifiers.meta.FilteredClassifier3518750499696280859.model
-1
2057936
predictions
https://www.openml.org/data/download/2057936/weka_generated_predictions5063457037371726268.arff
-1
2057938
trace
https://www.openml.org/data/download/2057938/optimization_trace1241194285075282530.arff
area_under_roc_curve
0.966379 [1,0.955021,0.994681,0.97606,0.956738,0.984157,0.912081,0.988371,0.99546,0.901228]
average_cost
0
f_measure
0.810498 [0.995025,0.738739,0.948454,0.876289,0.848329,0.906667,0.481865,0.869767,0.970149,0.469697]
kappa
0.789444
kb_relative_information_score
1641.258345
mean_absolute_error
0.046566
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.814253 [0.990099,0.672131,0.978723,0.904255,0.873016,0.971429,0.5,0.813043,0.965347,0.47449]
predictive_accuracy
0.8105
prior_entropy
3.321928
recall
0.8105 [1,0.82,0.92,0.85,0.825,0.85,0.465,0.935,0.975,0.465]
relative_absolute_error
0.258701
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.167529
root_relative_squared_error
0.558429
scimark_benchmark
928.049428 [527.5985006106905, 990.7224031557098, 468.269442668285, 899.2933222316699, 1754.3634695038145]
total_cost
0
usercpu_time_millis
3970
usercpu_time_millis_testing
3880
usercpu_time_millis_training
90
area_under_roc_curve
0.977583 [1,0.988056,0.999028,0.968611,0.989028,0.999722,0.92,0.997083,1,0.914306]
area_under_roc_curve
0.886722 [1,0.914306,0.975139,0.900556,0.867361,0.897778,0.693194,0.96125,0.969583,0.688056]
area_under_roc_curve
0.9 [1,0.886111,0.975,0.875,0.955556,0.95,0.675,0.966667,1,0.716667]
area_under_roc_curve
0.959806 [1,0.935556,0.999583,0.992917,0.999583,0.925,0.858333,0.993333,0.999861,0.893889]
area_under_roc_curve
0.964778 [1,0.916111,0.999167,0.940417,0.968472,0.996528,0.955139,0.988472,1,0.883472]
area_under_roc_curve
0.970639 [1,0.939028,1,0.971667,0.969028,0.997639,0.910694,0.990278,1,0.928056]
area_under_roc_curve
0.965375 [1,0.948889,0.949722,0.999306,0.93625,0.995417,0.952361,0.985139,0.997222,0.889444]
area_under_roc_curve
0.982819 [1,0.977361,0.999444,0.999861,0.938611,0.9975,0.9625,0.986806,0.998889,0.967222]
area_under_roc_curve
0.978444 [1,0.968056,1,0.996111,0.999444,0.970694,0.945694,0.994444,1,0.91]
area_under_roc_curve
0.956083 [1,0.958333,0.991528,0.995556,0.913333,0.973889,0.863889,0.989583,0.969583,0.905139]
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
0.807293 [1,0.77551,0.923077,0.918919,0.871795,0.974359,0.193548,0.926829,1,0.488889]
f_measure
0.804187 [1,0.829268,0.974359,0.888889,0.789474,0.864865,0.45,0.863636,0.926829,0.454545]
f_measure
0.819883 [1,0.780488,0.974359,0.857143,0.826087,0.947368,0.432432,0.904762,1,0.47619]
f_measure
0.817581 [1,0.755556,0.918919,0.833333,0.952381,0.857143,0.571429,0.842105,0.974359,0.470588]
f_measure
0.773834 [1,0.511628,0.974359,0.769231,0.789474,0.833333,0.555556,0.816327,0.97561,0.512821]
f_measure
0.834749 [0.97561,0.782609,0.974359,0.871795,0.918919,0.923077,0.486486,0.926829,1,0.487805]
f_measure
0.796078 [1,0.711111,0.918919,0.952381,0.780488,0.833333,0.526316,0.818182,0.97561,0.444444]
f_measure
0.844547 [0.97561,0.744186,0.97561,0.947368,0.833333,0.974359,0.636364,0.837209,0.95,0.571429]
f_measure
0.825109 [1,0.711111,1,0.894737,0.888889,0.864865,0.457143,0.888889,1,0.545455]
f_measure
0.770647 [1,0.782609,0.842105,0.833333,0.833333,0.974359,0.434783,0.883721,0.9,0.222222]
kappa
0.794444
kappa
0.777778
kappa
0.8
kappa
0.8
kappa
0.75
kappa
0.816667
kappa
0.777778
kappa
0.827778
kappa
0.805556
kappa
0.744444
kb_relative_information_score
165.615064
kb_relative_information_score
157.832821
kb_relative_information_score
162.006353
kb_relative_information_score
168.792986
kb_relative_information_score
160.08117
kb_relative_information_score
167.779768
kb_relative_information_score
165.429141
kb_relative_information_score
168.601535
kb_relative_information_score
167.308777
kb_relative_information_score
157.810729
mean_absolute_error
0.048818
mean_absolute_error
0.040773
mean_absolute_error
0.036795
mean_absolute_error
0.041923
mean_absolute_error
0.054777
mean_absolute_error
0.045392
mean_absolute_error
0.046948
mean_absolute_error
0.048174
mean_absolute_error
0.047391
mean_absolute_error
0.054671
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
0.811477 [1,0.655172,0.947368,1,0.894737,1,0.272727,0.904762,1,0.44]
precision
0.814713 [1,0.809524,1,1,0.833333,0.941176,0.45,0.791667,0.904762,0.416667]
precision
0.828144 [1,0.761905,1,1,0.730769,1,0.470588,0.863636,1,0.454545]
precision
0.830915 [1,0.68,1,0.714286,0.909091,1,0.545455,0.888889,1,0.571429]
precision
0.783192 [1,0.478261,1,0.789474,0.833333,0.9375,0.625,0.689655,0.952381,0.526316]
precision
0.839716 [0.952381,0.692308,1,0.894737,1,0.947368,0.529412,0.904762,1,0.47619]
precision
0.800643 [1,0.64,1,0.909091,0.761905,0.9375,0.555556,0.75,0.952381,0.5]
precision
0.852052 [0.952381,0.695652,0.952381,1,0.9375,1,0.583333,0.782609,0.95,0.666667]
precision
0.835895 [1,0.64,1,0.944444,1,0.941176,0.533333,0.8,1,0.5]
precision
0.78169 [1,0.692308,0.888889,0.9375,0.9375,1,0.384615,0.826087,0.9,0.25]
predictive_accuracy
0.815
predictive_accuracy
0.8
predictive_accuracy
0.82
predictive_accuracy
0.82
predictive_accuracy
0.775
predictive_accuracy
0.835
predictive_accuracy
0.8
predictive_accuracy
0.845
predictive_accuracy
0.825
predictive_accuracy
0.77
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 [1,0.95,0.9,0.85,0.85,0.95,0.15,0.95,1,0.55]
recall
0.8 [1,0.85,0.95,0.8,0.75,0.8,0.45,0.95,0.95,0.5]
recall
0.82 [1,0.8,0.95,0.75,0.95,0.9,0.4,0.95,1,0.5]
recall
0.82 [1,0.85,0.85,1,1,0.75,0.6,0.8,0.95,0.4]
recall
0.775 [1,0.55,0.95,0.75,0.75,0.75,0.5,1,1,0.5]
recall
0.835 [1,0.9,0.95,0.85,0.85,0.9,0.45,0.95,1,0.5]
recall
0.8 [1,0.8,0.85,1,0.8,0.75,0.5,0.9,1,0.4]
recall
0.845 [1,0.8,1,0.9,0.75,0.95,0.7,0.9,0.95,0.5]
recall
0.825 [1,0.8,1,0.85,0.8,0.8,0.4,1,1,0.6]
recall
0.77 [1,0.9,0.8,0.75,0.75,0.95,0.5,0.95,0.9,0.2]
relative_absolute_error
0.271212
relative_absolute_error
0.226518
relative_absolute_error
0.204417
relative_absolute_error
0.232903
relative_absolute_error
0.304319
relative_absolute_error
0.252179
relative_absolute_error
0.260821
relative_absolute_error
0.267631
relative_absolute_error
0.263282
relative_absolute_error
0.303726
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
0.157336
root_mean_squared_error
0.199461
root_mean_squared_error
0.189219
root_mean_squared_error
0.157715
root_mean_squared_error
0.169015
root_mean_squared_error
0.152058
root_mean_squared_error
0.163318
root_mean_squared_error
0.146058
root_mean_squared_error
0.154391
root_mean_squared_error
0.178637
root_relative_squared_error
0.524452
root_relative_squared_error
0.664869
root_relative_squared_error
0.63073
root_relative_squared_error
0.525718
root_relative_squared_error
0.563383
root_relative_squared_error
0.506861
root_relative_squared_error
0.544394
root_relative_squared_error
0.486861
root_relative_squared_error
0.514635
root_relative_squared_error
0.595456
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
660
usercpu_time_millis
280
usercpu_time_millis
260
usercpu_time_millis
450
usercpu_time_millis
430
usercpu_time_millis
390
usercpu_time_millis
370
usercpu_time_millis
390
usercpu_time_millis
500
usercpu_time_millis
390
usercpu_time_millis_testing
570
usercpu_time_millis_testing
190
usercpu_time_millis_testing
210
usercpu_time_millis_testing
400
usercpu_time_millis_testing
320
usercpu_time_millis_testing
330
usercpu_time_millis_testing
280
usercpu_time_millis_testing
320
usercpu_time_millis_testing
440
usercpu_time_millis_testing
300
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
110
usercpu_time_millis_training
60
usercpu_time_millis_training
90
usercpu_time_millis_training
70
usercpu_time_millis_training
60
usercpu_time_millis_training
90