10328584
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)
8184227
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
0.0625957382855844
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.06841249227557245
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.03247401424135849
13389
kernel
"sigmoid"
13389
max_iter
-1
13389
probability
false
13389
random_state
21454
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
21578854
description
https://api.openml.org/data/download/21578854/description.xml
-1
21578855
predictions
https://api.openml.org/data/download/21578855/predictions.arff
area_under_roc_curve
0.8541666666666667 [0.971389,0.841944,0.941111,0.861389,0.76,0.938333,0.686111,0.875556,0.975,0.690833]
average_cost
0
f_measure
0.7368876867910329 [0.961832,0.716792,0.908163,0.796748,0.593583,0.853081,0.42381,0.764706,0.902326,0.447837]
kappa
0.7083333333333334
kb_relative_information_score
0.7254886587278344
mean_absolute_error
0.05250000000000048
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7397497504694907 [0.979275,0.718593,0.927083,0.869822,0.637931,0.810811,0.404545,0.75,0.843478,0.455959]
predictive_accuracy
0.7375
prior_entropy
3.3219280948872383
recall
0.7375 [0.945,0.715,0.89,0.735,0.555,0.9,0.445,0.78,0.97,0.44]
relative_absolute_error
0.29166666666666036
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.22912878474779305
root_relative_squared_error
0.7637626158259652
total_cost
0
area_under_roc_curve
0.836111111111111 [0.947222,0.905556,0.911111,0.822222,0.838889,0.994444,0.597222,0.811111,0.958333,0.575]
area_under_roc_curve
0.8638888888888888 [0.975,0.836111,0.944444,0.919444,0.758333,0.938889,0.738889,0.811111,0.963889,0.752778]
area_under_roc_curve
0.863888888888889 [0.95,0.877778,0.925,0.808333,0.811111,0.933333,0.658333,0.869444,0.991667,0.813889]
area_under_roc_curve
0.8555555555555556 [0.947222,0.788889,0.95,0.897222,0.819444,0.888889,0.738889,0.836111,0.963889,0.725]
area_under_roc_curve
0.8472222222222221 [0.997222,0.763889,0.95,0.841667,0.719444,0.927778,0.722222,0.902778,0.994444,0.652778]
area_under_roc_curve
0.8555555555555556 [1,0.866667,0.994444,0.847222,0.702778,0.958333,0.641667,0.936111,0.994444,0.613889]
area_under_roc_curve
0.8527777777777779 [0.975,0.838889,0.9,0.913889,0.741667,0.886111,0.713889,0.927778,0.991667,0.638889]
area_under_roc_curve
0.8777777777777778 [0.972222,0.855556,0.922222,0.894444,0.791667,0.944444,0.766667,0.911111,0.963889,0.755556]
area_under_roc_curve
0.8583333333333333 [0.975,0.808333,0.997222,0.872222,0.661111,0.936111,0.666667,0.886111,0.994444,0.786111]
area_under_roc_curve
0.8305555555555554 [0.975,0.877778,0.916667,0.797222,0.755556,0.975,0.616667,0.863889,0.933333,0.594444]
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
0.6997002825176201 [0.923077,0.772727,0.809524,0.764706,0.736842,0.952381,0.266667,0.684211,0.844444,0.242424]
f_measure
0.7547874036490927 [0.974359,0.717949,0.9,0.871795,0.594595,0.857143,0.5,0.684211,0.883721,0.564103]
f_measure
0.7523649552452386 [0.947368,0.727273,0.918919,0.666667,0.684211,0.818182,0.424242,0.810811,0.930233,0.595745]
f_measure
0.7438689258885097 [0.923077,0.666667,0.947368,0.864865,0.622222,0.8,0.5,0.717949,0.883721,0.512821]
f_measure
0.7186656444115839 [0.97561,0.628571,0.947368,0.756757,0.487805,0.782609,0.5,0.755556,0.952381,0.4]
f_measure
0.732904248889561 [1,0.789474,0.952381,0.8,0.486486,0.844444,0.358974,0.837209,0.952381,0.307692]
f_measure
0.7343864204994079 [0.974359,0.736842,0.888889,0.829268,0.606061,0.780488,0.465116,0.782609,0.930233,0.35]
f_measure
0.7804488758895124 [0.95,0.714286,0.894737,0.842105,0.685714,0.9,0.545455,0.809524,0.883721,0.578947]
f_measure
0.7410738279402821 [0.974359,0.666667,0.97561,0.833333,0.4375,0.837209,0.4,0.780488,0.952381,0.553191]
f_measure
0.6989067803541488 [0.974359,0.727273,0.85,0.727273,0.578947,0.974359,0.291667,0.769231,0.818182,0.277778]
kappa
0.6722222222222222
kappa
0.7277777777777777
kappa
0.7277777777777777
kappa
0.7111111111111111
kappa
0.6944444444444444
kappa
0.7111111111111111
kappa
0.7055555555555556
kappa
0.7555555555555555
kappa
0.7166666666666667
kappa
0.6611111111111111
kb_relative_information_score
0.6915015402846038
kb_relative_information_score
0.7437894148126378
kb_relative_information_score
0.7437894148126378
kb_relative_information_score
0.7281030524542276
kb_relative_information_score
0.7124166900958173
kb_relative_information_score
0.7281030524542276
kb_relative_information_score
0.7228742650014243
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.7333318399070311
kb_relative_information_score
0.6810439653789969
mean_absolute_error
0.05899999999999995
mean_absolute_error
0.04899999999999999
mean_absolute_error
0.04899999999999999
mean_absolute_error
0.05199999999999998
mean_absolute_error
0.054999999999999966
mean_absolute_error
0.05199999999999998
mean_absolute_error
0.05299999999999997
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.06099999999999994
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
0.7073783672467883 [0.947368,0.708333,0.772727,0.928571,0.777778,0.909091,0.24,0.722222,0.76,0.307692]
precision
0.7582409469577998 [1,0.736842,0.9,0.894737,0.647059,0.818182,0.458333,0.722222,0.826087,0.578947]
precision
0.7631997630752511 [1,0.666667,1,0.684211,0.722222,0.75,0.538462,0.882353,0.869565,0.518519]
precision
0.7546123076232781 [0.947368,0.75,1,0.941176,0.56,0.8,0.458333,0.736842,0.826087,0.526316]
precision
0.7233499441734736 [0.952381,0.733333,1,0.823529,0.47619,0.692308,0.5,0.68,0.909091,0.466667]
precision
0.7341079471522332 [1,0.833333,0.909091,0.933333,0.529412,0.76,0.368421,0.782609,0.909091,0.315789]
precision
0.7465092636831768 [1,0.777778,1,0.809524,0.769231,0.761905,0.434783,0.692308,0.869565,0.35]
precision
0.7875076855511638 [0.95,0.681818,0.944444,0.888889,0.8,0.9,0.5,0.772727,0.826087,0.611111]
precision
0.74925106601594 [1,0.684211,0.952381,0.9375,0.583333,0.782609,0.4,0.761905,0.909091,0.481481]
precision
0.7152828385065227 [1,0.666667,0.85,0.923077,0.611111,1,0.25,0.789474,0.75,0.3125]
predictive_accuracy
0.705
predictive_accuracy
0.755
predictive_accuracy
0.755
predictive_accuracy
0.74
predictive_accuracy
0.725
predictive_accuracy
0.74
predictive_accuracy
0.735
predictive_accuracy
0.78
predictive_accuracy
0.745
predictive_accuracy
0.695
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
0.705 [0.9,0.85,0.85,0.65,0.7,1,0.3,0.65,0.95,0.2]
recall
0.755 [0.95,0.7,0.9,0.85,0.55,0.9,0.55,0.65,0.95,0.55]
recall
0.755 [0.9,0.8,0.85,0.65,0.65,0.9,0.35,0.75,1,0.7]
recall
0.74 [0.9,0.6,0.9,0.8,0.7,0.8,0.55,0.7,0.95,0.5]
recall
0.725 [1,0.55,0.9,0.7,0.5,0.9,0.5,0.85,1,0.35]
recall
0.74 [1,0.75,1,0.7,0.45,0.95,0.35,0.9,1,0.3]
recall
0.735 [0.95,0.7,0.8,0.85,0.5,0.8,0.5,0.9,1,0.35]
recall
0.78 [0.95,0.75,0.85,0.8,0.6,0.9,0.6,0.85,0.95,0.55]
recall
0.745 [0.95,0.65,1,0.75,0.35,0.9,0.4,0.8,1,0.65]
recall
0.695 [0.95,0.8,0.85,0.6,0.55,0.95,0.35,0.75,0.9,0.25]
relative_absolute_error
0.32777777777777783
relative_absolute_error
0.2722222222222225
relative_absolute_error
0.2722222222222225
relative_absolute_error
0.2888888888888891
relative_absolute_error
0.3055555555555557
relative_absolute_error
0.2888888888888891
relative_absolute_error
0.2944444444444446
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.3388888888888889
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
0.2428991560298223
root_mean_squared_error
0.22135943621178653
root_mean_squared_error
0.22135943621178653
root_mean_squared_error
0.22803508501982755
root_mean_squared_error
0.2345207879911714
root_mean_squared_error
0.22803508501982755
root_mean_squared_error
0.2302172886644267
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.24698178070456928
root_relative_squared_error
0.8096638534327415
root_relative_squared_error
0.7378647873726222
root_relative_squared_error
0.7378647873726222
root_relative_squared_error
0.7601169500660923
root_relative_squared_error
0.7817359599705718
root_relative_squared_error
0.7601169500660923
root_relative_squared_error
0.7673909622147562
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.8232726023485647
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
633.1008190027205
usercpu_time_millis
634.7080810010084
usercpu_time_millis
634.294797993789
usercpu_time_millis
651.003753002442
usercpu_time_millis
649.7378359999857
usercpu_time_millis
626.2684260073001
usercpu_time_millis
631.5111060030176
usercpu_time_millis
641.0473479991197
usercpu_time_millis
630.6145599955926
usercpu_time_millis
624.360425004852
usercpu_time_millis_testing
63.54338100209134
usercpu_time_millis_testing
64.99881399940932
usercpu_time_millis_testing
63.78415099607082
usercpu_time_millis_testing
63.945977002731524
usercpu_time_millis_testing
63.624376998632215
usercpu_time_millis_testing
63.41531700309133
usercpu_time_millis_testing
63.34995799988974
usercpu_time_millis_testing
63.078626997594256
usercpu_time_millis_testing
63.319814995338675
usercpu_time_millis_testing
63.56081100238953
usercpu_time_millis_training
569.5574380006292
usercpu_time_millis_training
569.7092670015991
usercpu_time_millis_training
570.5106469977181
usercpu_time_millis_training
587.0577759997104
usercpu_time_millis_training
586.1134590013535
usercpu_time_millis_training
562.8531090042088
usercpu_time_millis_training
568.1611480031279
usercpu_time_millis_training
577.9687210015254
usercpu_time_millis_training
567.2947450002539
usercpu_time_millis_training
560.7996140024625
wall_clock_time_millis
633.1624984741211
wall_clock_time_millis
634.7699165344238
wall_clock_time_millis
634.3562602996826
wall_clock_time_millis
651.1800289154053
wall_clock_time_millis
649.8043537139893
wall_clock_time_millis
626.3284683227539
wall_clock_time_millis
631.6015720367432
wall_clock_time_millis
641.1070823669434
wall_clock_time_millis
630.6793689727783
wall_clock_time_millis
624.422550201416
wall_clock_time_millis_testing
63.56096267700195
wall_clock_time_millis_testing
65.01388549804688
wall_clock_time_millis_testing
63.80009651184082
wall_clock_time_millis_testing
63.96365165710449
wall_clock_time_millis_testing
63.64178657531738
wall_clock_time_millis_testing
63.4307861328125
wall_clock_time_millis_testing
63.36832046508789
wall_clock_time_millis_testing
63.094139099121094
wall_clock_time_millis_testing
63.338279724121094
wall_clock_time_millis_testing
63.57860565185547
wall_clock_time_millis_training
569.6015357971191
wall_clock_time_millis_training
569.756031036377
wall_clock_time_millis_training
570.5561637878418
wall_clock_time_millis_training
587.2163772583008
wall_clock_time_millis_training
586.1625671386719
wall_clock_time_millis_training
562.8976821899414
wall_clock_time_millis_training
568.2332515716553
wall_clock_time_millis_training
578.0129432678223
wall_clock_time_millis_training
567.3410892486572
wall_clock_time_millis_training
560.8439445495605