593985
1
Jan van Rijn
14
Supervised Classification
4028
weka.FilteredClassifier_MultiSearch_Logistic(1)
6410
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 ridge -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I)" -class-label 1 -algorithm "weka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 200 -num-slots 1 -S 1 -num-slots 1" -log-file /home/rijnjnvan/apps/weka-3-7-13 -S 1 -W weka.classifiers.functions.Logistic -- -R 1.0E-8 -M -1
R
1.0E-8
1805
M
-1
1805
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"
4028
W
weka.classifiers.meta.MultiSearch
4028
E
ACC
4029
class-label
1
4029
search
[weka.core.setupgenerator.MathParameter -property ridge -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I)]
4029
algorithm
weka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 200 -num-slots 1 -S 1 -num-slots 1
4029
log-file
/home/rijnjnvan/apps/weka-3-7-13
4029
S
1
4029
W
weka.classifiers.functions.Logistic
4029
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
2058974
description
https://api.openml.org/data/download/2058974/weka_generated_run3025348196136482212.xml
-1
2058977
model_readable
https://api.openml.org/data/download/2058977/WekaModel_weka.classifiers.meta.FilteredClassifier5844903316264450612.model
-1
2058976
model_serialized
https://api.openml.org/data/download/2058976/WekaSerialized_weka.classifiers.meta.FilteredClassifier3181964484512460404.model
-1
2058978
predictions
https://api.openml.org/data/download/2058978/weka_generated_predictions7789945656828532969.arff
-1
2058975
trace
https://api.openml.org/data/download/2058975/optimization_trace8883202364199349301.arff
area_under_roc_curve
0.978336 [0.999967,0.961036,0.995888,0.986783,0.965871,0.993517,0.949646,0.991958,0.994664,0.944031]
average_cost
0
f_measure
0.824536 [0.99,0.751918,0.936709,0.879397,0.8,0.932331,0.593301,0.859857,0.972431,0.529412]
kappa
0.806111
kb_relative_information_score
1624.940578
mean_absolute_error
0.051931
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_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
precision
0.824876 [0.99,0.769634,0.948718,0.883838,0.790244,0.934673,0.568807,0.819005,0.974874,0.568966]
predictive_accuracy
0.8255
prior_entropy
3.321928
recall
0.8255 [0.99,0.735,0.925,0.875,0.81,0.93,0.62,0.905,0.97,0.495]
relative_absolute_error
0.288507
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.156106
root_relative_squared_error
0.520354
scimark_benchmark
1369.366909 [799.7435325887984, 1040.7534951855516, 542.2938452810938, 1247.7106428773866, 3216.3330274236596]
total_cost
0
usercpu_time_millis
6780
usercpu_time_millis_testing
30
usercpu_time_millis_training
6750
area_under_roc_curve
0.981833 [0.999722,0.970556,0.999444,0.995833,0.971667,1,0.931944,0.991667,0.998889,0.958611]
area_under_roc_curve
0.978583 [1,0.955833,0.998333,0.990556,0.947222,0.990833,0.958333,0.990833,0.998889,0.955]
area_under_roc_curve
0.973528 [1,0.960278,1,0.960556,0.983333,0.995,0.906667,0.990556,1,0.938889]
area_under_roc_curve
0.98675 [1,0.9725,0.996667,1,0.991111,0.995,0.978611,0.994444,0.973333,0.965833]
area_under_roc_curve
0.975806 [1,0.946667,0.997222,0.961389,0.976667,0.991389,0.9575,0.994444,1,0.932778]
area_under_roc_curve
0.980889 [1,0.966944,0.998611,0.987222,0.953333,0.998611,0.964722,0.993889,1,0.945556]
area_under_roc_curve
0.981833 [1,0.975556,0.985833,0.996944,0.970278,0.994167,0.961389,0.992222,1,0.941944]
area_under_roc_curve
0.982 [1,0.958056,0.996111,0.996944,0.960833,0.991389,0.955833,0.993056,0.998056,0.969722]
area_under_roc_curve
0.978722 [1,0.948889,0.999722,0.996944,0.983889,0.986389,0.946944,0.995833,1,0.928611]
area_under_roc_curve
0.973833 [1,0.978611,0.989722,0.996389,0.945833,0.996944,0.945556,0.989167,0.973056,0.923056]
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
0.798291 [0.974359,0.73913,0.926829,0.857143,0.857143,1,0.439024,0.769231,0.97561,0.444444]
f_measure
0.805396 [1,0.756757,0.894737,0.837209,0.769231,0.9,0.55814,0.837209,0.974359,0.526316]
f_measure
0.822047 [1,0.761905,0.947368,0.820513,0.844444,0.923077,0.590909,0.871795,0.97561,0.484848]
f_measure
0.859267 [0.974359,0.722222,0.974359,0.97561,0.8,0.9,0.761905,0.85,0.95,0.684211]
f_measure
0.782207 [0.97561,0.666667,0.947368,0.790698,0.717949,0.842105,0.619048,0.818182,1,0.444444]
f_measure
0.846804 [1,0.742857,0.926829,0.829268,0.842105,0.952381,0.666667,0.952381,1,0.555556]
f_measure
0.817509 [1,0.736842,0.918919,0.9,0.8,0.926829,0.590909,0.844444,1,0.457143]
f_measure
0.848164 [0.97561,0.8,0.95,0.95,0.8,0.95,0.666667,0.878049,0.923077,0.588235]
f_measure
0.856638 [1,0.742857,0.97561,0.97561,0.829268,0.974359,0.540541,0.909091,1,0.619048]
f_measure
0.799345 [1,0.837209,0.904762,0.857143,0.722222,0.95,0.457143,0.863636,0.923077,0.478261]
kappa
0.777778
kappa
0.783333
kappa
0.805556
kappa
0.844444
kappa
0.761111
kappa
0.833333
kappa
0.8
kappa
0.833333
kappa
0.844444
kappa
0.777778
kb_relative_information_score
159.375018
kb_relative_information_score
161.508522
kb_relative_information_score
158.795637
kb_relative_information_score
162.302202
kb_relative_information_score
159.212632
kb_relative_information_score
165.406236
kb_relative_information_score
162.649473
kb_relative_information_score
167.377392
kb_relative_information_score
167.292705
kb_relative_information_score
161.02076
mean_absolute_error
0.057344
mean_absolute_error
0.05427
mean_absolute_error
0.056075
mean_absolute_error
0.056009
mean_absolute_error
0.052522
mean_absolute_error
0.047864
mean_absolute_error
0.051549
mean_absolute_error
0.046789
mean_absolute_error
0.04594
mean_absolute_error
0.05095
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
0.804722 [1,0.653846,0.904762,1,0.818182,1,0.428571,0.789474,0.952381,0.5]
precision
0.809996 [1,0.823529,0.944444,0.782609,0.789474,0.9,0.521739,0.782609,1,0.555556]
precision
0.828092 [1,0.727273,1,0.842105,0.76,0.947368,0.541667,0.894737,0.952381,0.615385]
precision
0.863438 [1,0.8125,1,0.952381,0.72,0.9,0.727273,0.85,0.95,0.722222]
precision
0.784236 [0.952381,0.684211,1,0.73913,0.736842,0.888889,0.590909,0.75,1,0.5]
precision
0.851302 [1,0.866667,0.904762,0.809524,0.888889,0.909091,0.6,0.909091,1,0.625]
precision
0.821754 [1,0.777778,1,0.9,0.8,0.904762,0.541667,0.76,1,0.533333]
precision
0.852118 [0.952381,0.8,0.95,0.95,0.8,0.95,0.6,0.857143,0.947368,0.714286]
precision
0.859343 [1,0.866667,0.952381,0.952381,0.809524,1,0.588235,0.833333,1,0.590909]
precision
0.810419 [1,0.782609,0.863636,1,0.8125,0.95,0.533333,0.791667,0.947368,0.423077]
predictive_accuracy
0.8
predictive_accuracy
0.805
predictive_accuracy
0.825
predictive_accuracy
0.86
predictive_accuracy
0.785
predictive_accuracy
0.85
predictive_accuracy
0.82
predictive_accuracy
0.85
predictive_accuracy
0.86
predictive_accuracy
0.8
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
0.8 [0.95,0.85,0.95,0.75,0.9,1,0.45,0.75,1,0.4]
recall
0.805 [1,0.7,0.85,0.9,0.75,0.9,0.6,0.9,0.95,0.5]
recall
0.825 [1,0.8,0.9,0.8,0.95,0.9,0.65,0.85,1,0.4]
recall
0.86 [0.95,0.65,0.95,1,0.9,0.9,0.8,0.85,0.95,0.65]
recall
0.785 [1,0.65,0.9,0.85,0.7,0.8,0.65,0.9,1,0.4]
recall
0.85 [1,0.65,0.95,0.85,0.8,1,0.75,1,1,0.5]
recall
0.82 [1,0.7,0.85,0.9,0.8,0.95,0.65,0.95,1,0.4]
recall
0.85 [1,0.8,0.95,0.95,0.8,0.95,0.75,0.9,0.9,0.5]
recall
0.86 [1,0.65,1,1,0.85,0.95,0.5,1,1,0.65]
recall
0.8 [1,0.9,0.95,0.75,0.65,0.95,0.4,0.95,0.9,0.55]
relative_absolute_error
0.318577
relative_absolute_error
0.301502
relative_absolute_error
0.31153
relative_absolute_error
0.311161
relative_absolute_error
0.291791
relative_absolute_error
0.265914
relative_absolute_error
0.286381
relative_absolute_error
0.259937
relative_absolute_error
0.25522
relative_absolute_error
0.283055
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
0.155195
root_mean_squared_error
0.159169
root_mean_squared_error
0.161513
root_mean_squared_error
0.149643
root_mean_squared_error
0.169492
root_mean_squared_error
0.151772
root_mean_squared_error
0.155659
root_mean_squared_error
0.148494
root_mean_squared_error
0.146421
root_mean_squared_error
0.162204
root_relative_squared_error
0.517318
root_relative_squared_error
0.530563
root_relative_squared_error
0.538377
root_relative_squared_error
0.498811
root_relative_squared_error
0.564974
root_relative_squared_error
0.505905
root_relative_squared_error
0.518864
root_relative_squared_error
0.494979
root_relative_squared_error
0.48807
root_relative_squared_error
0.54068
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
4710
usercpu_time_millis
4810
usercpu_time_millis
4530
usercpu_time_millis
3980
usercpu_time_millis
5780
usercpu_time_millis
5590
usercpu_time_millis
4770
usercpu_time_millis
5650
usercpu_time_millis
5440
usercpu_time_millis
5940
usercpu_time_millis_testing
20
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
4690
usercpu_time_millis_training
4800
usercpu_time_millis_training
4530
usercpu_time_millis_training
3980
usercpu_time_millis_training
5780
usercpu_time_millis_training
5590
usercpu_time_millis_training
4770
usercpu_time_millis_training
5650
usercpu_time_millis_training
5440
usercpu_time_millis_training
5940