10372276
8323
Heinrich Peters
14
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8227619
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
160.2400925342376
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.2780508839036353
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
3.223366877926526e-05
13389
kernel
"sigmoid"
13389
max_iter
-1
13389
probability
false
13389
random_state
53044
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21666257
description
https://api.openml.org/data/download/21666257/description.xml
-1
21666258
predictions
https://api.openml.org/data/download/21666258/predictions.arff
area_under_roc_curve
0.8958333333333335 [0.995,0.862222,0.964722,0.915556,0.861389,0.954444,0.694722,0.957778,0.986111,0.766389]
average_cost
0
f_measure
0.8111386505758278 [0.994975,0.730769,0.942065,0.875,0.781003,0.910891,0.479109,0.87037,0.975,0.552204]
kappa
0.7916666666666666
kb_relative_information_score
0.803920470519881
mean_absolute_error
0.03750000000000026
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8136139033298979 [1,0.703704,0.949239,0.913043,0.826816,0.901961,0.540881,0.810345,0.975,0.515152]
predictive_accuracy
0.8125
prior_entropy
3.3219280948872383
recall
0.8125 [0.99,0.76,0.935,0.84,0.74,0.92,0.43,0.94,0.975,0.595]
relative_absolute_error
0.20833333333332837
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19364916731037152
root_relative_squared_error
0.6454972243678953
total_cost
0
area_under_roc_curve
0.8805555555555555 [0.975,0.894444,0.972222,0.872222,0.916667,1,0.594444,0.888889,0.997222,0.694444]
area_under_roc_curve
0.8972222222222221 [1,0.891667,0.969444,0.922222,0.813889,0.938889,0.711111,0.933333,0.972222,0.819444]
area_under_roc_curve
0.9083333333333333 [1,0.877778,0.975,0.894444,0.911111,0.944444,0.733333,0.919444,1,0.827778]
area_under_roc_curve
0.9083333333333334 [0.975,0.838889,0.975,0.969444,0.905556,0.941667,0.788889,0.916667,0.972222,0.8]
area_under_roc_curve
0.8916666666666667 [1,0.788889,0.975,0.916667,0.866667,0.941667,0.680556,0.977778,1,0.769444]
area_under_roc_curve
0.9055555555555556 [1,0.886111,0.994444,0.897222,0.869444,0.947222,0.75,0.991667,1,0.719444]
area_under_roc_curve
0.8888888888888888 [1,0.858333,0.925,0.941667,0.844444,0.938889,0.702778,0.983333,1,0.694444]
area_under_roc_curve
0.913888888888889 [1,0.877778,0.947222,0.919444,0.872222,0.947222,0.805556,0.991667,0.972222,0.805556]
area_under_roc_curve
0.8944444444444444 [1,0.838889,0.997222,0.972222,0.766667,0.969444,0.583333,0.986111,1,0.830556]
area_under_roc_curve
0.8694444444444442 [1,0.869444,0.916667,0.85,0.847222,0.975,0.597222,0.988889,0.947222,0.702778]
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
0.781941317490098 [0.974359,0.708333,0.95,0.833333,0.85,1,0.277778,0.8,0.97561,0.45]
f_measure
0.812174029586625 [1,0.820513,0.926829,0.894737,0.702703,0.857143,0.529412,0.818182,0.95,0.622222]
f_measure
0.83472778683305 [1,0.727273,0.974359,0.842105,0.809524,0.9,0.555556,0.871795,1,0.666667]
f_measure
0.8348879661203152 [0.974359,0.736842,0.974359,0.926829,0.772727,0.878049,0.666667,0.85,0.95,0.619048]
f_measure
0.8007163831083882 [1,0.666667,0.974359,0.85,0.789474,0.878049,0.457143,0.833333,1,0.55814]
f_measure
0.8299658792199915 [1,0.780488,0.952381,0.864865,0.810811,0.923077,0.55,0.930233,1,0.487805]
f_measure
0.796964735527832 [1,0.731707,0.918919,0.878049,0.777778,0.857143,0.486486,0.869565,1,0.45]
f_measure
0.8458787336694314 [1,0.727273,0.923077,0.871795,0.833333,0.923077,0.65,0.930233,0.95,0.65]
f_measure
0.7980130802856016 [1,0.736842,0.97561,0.95,0.647059,0.926829,0.266667,0.888889,1,0.588235]
f_measure
0.7672153482729202 [1,0.680851,0.85,0.823529,0.8,0.974359,0.285714,0.909091,0.923077,0.425532]
kappa
0.7611111111111112
kappa
0.7944444444444444
kappa
0.8166666666666667
kappa
0.8166666666666667
kappa
0.7833333333333334
kappa
0.8111111111111111
kappa
0.7777777777777778
kappa
0.8277777777777777
kappa
0.788888888888889
kappa
0.7388888888888889
kb_relative_information_score
0.7751621395294579
kb_relative_information_score
0.8065348642462777
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8013060767934745
kb_relative_information_score
0.7542469897182446
mean_absolute_error
0.04300000000000001
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.04699999999999999
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
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
0.7859523809523808 [1,0.607143,0.95,0.9375,0.85,1,0.3125,0.8,0.952381,0.45]
precision
0.8177056455756145 [1,0.842105,0.904762,0.944444,0.764706,0.818182,0.642857,0.75,0.95,0.56]
precision
0.8384383306751728 [1,0.666667,1,0.888889,0.772727,0.9,0.625,0.894737,1,0.636364]
precision
0.8388924963924964 [1,0.777778,1,0.904762,0.708333,0.857143,0.75,0.85,0.95,0.590909]
precision
0.8059834368530021 [1,0.75,1,0.85,0.833333,0.857143,0.533333,0.714286,1,0.521739]
precision
0.833764919739479 [1,0.761905,0.909091,0.941176,0.882353,0.947368,0.55,0.869565,1,0.47619]
precision
0.8013252923547042 [1,0.714286,1,0.857143,0.875,0.818182,0.529412,0.769231,1,0.45]
precision
0.8513205568268496 [1,0.666667,0.947368,0.894737,0.9375,0.947368,0.65,0.869565,0.95,0.65]
precision
0.8054505888376856 [1,0.777778,0.952381,0.95,0.785714,0.904762,0.4,0.8,1,0.483871]
precision
0.7860331384015595 [1,0.592593,0.85,1,0.933333,1,0.333333,0.833333,0.947368,0.37037]
predictive_accuracy
0.785
predictive_accuracy
0.815
predictive_accuracy
0.835
predictive_accuracy
0.835
predictive_accuracy
0.805
predictive_accuracy
0.83
predictive_accuracy
0.8
predictive_accuracy
0.845
predictive_accuracy
0.81
predictive_accuracy
0.765
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.785 [0.95,0.85,0.95,0.75,0.85,1,0.25,0.8,1,0.45]
recall
0.815 [1,0.8,0.95,0.85,0.65,0.9,0.45,0.9,0.95,0.7]
recall
0.835 [1,0.8,0.95,0.8,0.85,0.9,0.5,0.85,1,0.7]
recall
0.835 [0.95,0.7,0.95,0.95,0.85,0.9,0.6,0.85,0.95,0.65]
recall
0.805 [1,0.6,0.95,0.85,0.75,0.9,0.4,1,1,0.6]
recall
0.83 [1,0.8,1,0.8,0.75,0.9,0.55,1,1,0.5]
recall
0.8 [1,0.75,0.85,0.9,0.7,0.9,0.45,1,1,0.45]
recall
0.845 [1,0.8,0.9,0.85,0.75,0.9,0.65,1,0.95,0.65]
recall
0.81 [1,0.7,1,0.95,0.55,0.95,0.2,1,1,0.75]
recall
0.765 [1,0.8,0.85,0.7,0.7,0.95,0.25,1,0.9,0.5]
relative_absolute_error
0.2388888888888892
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.26111111111111135
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.20736441353327723
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.21679483388678797
root_relative_squared_error
0.6912147117775912
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.7226494462892937
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
468.06842400110327
usercpu_time_millis
467.2753990016645
usercpu_time_millis
467.428939002275
usercpu_time_millis
462.98398499857285
usercpu_time_millis
467.121715999383
usercpu_time_millis
451.2040059998981
usercpu_time_millis
454.3803439992189
usercpu_time_millis
457.8759830001218
usercpu_time_millis
464.43336000083946
usercpu_time_millis
453.7912639971182
usercpu_time_millis_testing
49.08347099990351
usercpu_time_millis_testing
49.536965001607314
usercpu_time_millis_testing
50.06557600063388
usercpu_time_millis_testing
49.65468999944278
usercpu_time_millis_testing
48.94127000079607
usercpu_time_millis_testing
48.992986001394456
usercpu_time_millis_testing
49.226425999222556
usercpu_time_millis_testing
48.893211998802144
usercpu_time_millis_testing
49.46487200140837
usercpu_time_millis_testing
49.0642549993936
usercpu_time_millis_training
418.98495300119976
usercpu_time_millis_training
417.73843400005717
usercpu_time_millis_training
417.3633630016411
usercpu_time_millis_training
413.32929499913007
usercpu_time_millis_training
418.18044599858695
usercpu_time_millis_training
402.2110199985036
usercpu_time_millis_training
405.15391799999634
usercpu_time_millis_training
408.98277100131963
usercpu_time_millis_training
414.9684879994311
usercpu_time_millis_training
404.7270089977246
wall_clock_time_millis
468.10388565063477
wall_clock_time_millis
467.3037528991699
wall_clock_time_millis
467.4696922302246
wall_clock_time_millis
463.00554275512695
wall_clock_time_millis
467.13733673095703
wall_clock_time_millis
451.2195587158203
wall_clock_time_millis
454.40149307250977
wall_clock_time_millis
457.9000473022461
wall_clock_time_millis
464.4782543182373
wall_clock_time_millis
454.2427062988281
wall_clock_time_millis_testing
49.09491539001465
wall_clock_time_millis_testing
49.54886436462402
wall_clock_time_millis_testing
50.077199935913086
wall_clock_time_millis_testing
49.664974212646484
wall_clock_time_millis_testing
48.9506721496582
wall_clock_time_millis_testing
48.999786376953125
wall_clock_time_millis_testing
49.236297607421875
wall_clock_time_millis_testing
48.905134201049805
wall_clock_time_millis_testing
49.484968185424805
wall_clock_time_millis_testing
49.07512664794922
wall_clock_time_millis_training
419.0089702606201
wall_clock_time_millis_training
417.7548885345459
wall_clock_time_millis_training
417.3924922943115
wall_clock_time_millis_training
413.34056854248047
wall_clock_time_millis_training
418.1866645812988
wall_clock_time_millis_training
402.2197723388672
wall_clock_time_millis_training
405.1651954650879
wall_clock_time_millis_training
408.9949131011963
wall_clock_time_millis_training
414.9932861328125
wall_clock_time_millis_training
405.1675796508789