10328536
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)
8184183
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
83.8625216295585
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.29515623135987656
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.2057215156861141
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
43261
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
21578758
description
https://api.openml.org/data/download/21578758/description.xml
-1
21578759
predictions
https://api.openml.org/data/download/21578759/predictions.arff
area_under_roc_curve
0.8966666666666667 [0.99,0.9125,0.971944,0.926111,0.900556,0.926944,0.703889,0.948889,0.973889,0.711944]
average_cost
0
f_measure
0.8170571981258776 [0.989899,0.729897,0.966752,0.891192,0.857143,0.91689,0.476684,0.90099,0.964467,0.476658]
kappa
0.7933333333333332
kb_relative_information_score
0.8054891067557215
mean_absolute_error
0.03720000000000026
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8268625271869579 [1,0.621053,0.989529,0.924731,0.910112,0.988439,0.494624,0.892157,0.979381,0.468599]
predictive_accuracy
0.8140000000000001
prior_entropy
3.3219280948872383
recall
0.814 [0.98,0.885,0.945,0.86,0.81,0.855,0.46,0.91,0.95,0.485]
relative_absolute_error
0.20666666666666175
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19287301521985978
root_relative_squared_error
0.642910050732856
total_cost
0
area_under_roc_curve
0.8972222222222223 [0.975,0.966667,0.975,0.925,0.944444,0.975,0.627778,0.822222,0.997222,0.763889]
area_under_roc_curve
0.888888888888889 [1,0.875,0.975,0.866667,0.872222,0.947222,0.7,0.988889,0.947222,0.716667]
area_under_roc_curve
0.9055555555555554 [0.975,0.916667,1,0.925,0.941667,0.9,0.747222,0.947222,1,0.702778]
area_under_roc_curve
0.9333333333333331 [0.975,0.933333,0.975,0.966667,0.994444,0.95,0.852778,0.947222,0.975,0.763889]
area_under_roc_curve
0.8777777777777778 [1,0.844444,0.95,0.916667,0.875,0.9,0.644444,0.963889,1,0.683333]
area_under_roc_curve
0.9111111111111111 [1,0.897222,0.997222,0.872222,0.919444,0.922222,0.777778,0.994444,1,0.730556]
area_under_roc_curve
0.8805555555555555 [0.975,0.905556,0.95,0.944444,0.869444,0.825,0.725,0.969444,0.997222,0.644444]
area_under_roc_curve
0.9 [1,0.925,0.972222,1,0.844444,0.975,0.719444,0.941667,0.925,0.697222]
area_under_roc_curve
0.9055555555555556 [1,0.925,1,0.972222,0.9,0.9,0.602778,0.997222,1,0.758333]
area_under_roc_curve
0.8666666666666666 [1,0.936111,0.925,0.872222,0.844444,0.975,0.641667,0.916667,0.897222,0.658333]
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
0.8137816759481034 [0.974359,0.769231,0.974359,0.918919,0.9,0.974359,0.352941,0.764706,0.97561,0.533333]
f_measure
0.8013396544975491 [1,0.711111,0.974359,0.789474,0.833333,0.923077,0.473684,0.909091,0.923077,0.47619]
f_measure
0.8326364338071656 [0.974359,0.72,1,0.918919,0.878049,0.888889,0.536585,0.923077,1,0.486486]
f_measure
0.8795092789707232 [0.974359,0.818182,0.974359,0.904762,0.952381,0.947368,0.697674,0.923077,0.974359,0.628571]
f_measure
0.7856806972082901 [1,0.652174,0.947368,0.85,0.857143,0.888889,0.368421,0.883721,1,0.409091]
f_measure
0.839180055157167 [1,0.723404,0.97561,0.833333,0.871795,0.894737,0.6,0.952381,1,0.540541]
f_measure
0.7870764250610207 [0.974359,0.666667,0.947368,0.9,0.810811,0.787879,0.512821,0.926829,0.97561,0.368421]
f_measure
0.8214405237939227 [1,0.765957,0.95,1,0.777778,0.974359,0.487805,0.878049,0.918919,0.461538]
f_measure
0.8283013581586492 [1,0.765957,1,0.95,0.888889,0.888889,0.30303,0.97561,1,0.510638]
f_measure
0.7667302383559514 [1,0.716981,0.918919,0.833333,0.777778,0.974359,0.358974,0.85,0.864865,0.372093]
kappa
0.7944444444444444
kappa
0.7777777777777778
kappa
0.8111111111111111
kappa
0.8666666666666667
kappa
0.7555555555555555
kappa
0.8222222222222222
kappa
0.7611111111111112
kappa
0.7999999999999999
kappa
0.8111111111111111
kappa
0.7333333333333334
kb_relative_information_score
0.8065348642462777
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.8745091011327207
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.775162139529458
kb_relative_information_score
0.811763651699081
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.7490182022654411
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.024000000000000007
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.04300000000000001
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.04799999999999999
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
0.8314523809523808 [1,0.625,1,1,0.9,1,0.428571,0.928571,0.952381,0.48]
precision
0.8093448963317385 [1,0.64,1,0.833333,0.9375,0.947368,0.5,0.833333,0.947368,0.454545]
precision
0.8457732566710895 [1,0.6,1,1,0.857143,1,0.52381,0.947368,1,0.529412]
precision
0.8855602940156716 [1,0.75,1,0.863636,0.909091,1,0.652174,0.947368,1,0.733333]
precision
0.8016898922333704 [1,0.576923,1,0.85,1,1,0.388889,0.826087,1,0.375]
precision
0.8456018071768847 [1,0.62963,0.952381,0.9375,0.894737,0.944444,0.6,0.909091,1,0.588235]
precision
0.8084112241387783 [1,0.529412,1,0.9,0.882353,1,0.526316,0.904762,0.952381,0.388889]
precision
0.8298684210526315 [1,0.666667,0.95,1,0.875,1,0.47619,0.857143,1,0.473684]
precision
0.8398107448107447 [1,0.666667,1,0.95,1,1,0.384615,0.952381,1,0.444444]
precision
0.7895681185933912 [1,0.575758,1,0.9375,0.875,1,0.368421,0.85,0.941176,0.347826]
predictive_accuracy
0.815
predictive_accuracy
0.8
predictive_accuracy
0.83
predictive_accuracy
0.88
predictive_accuracy
0.78
predictive_accuracy
0.84
predictive_accuracy
0.785
predictive_accuracy
0.82
predictive_accuracy
0.83
predictive_accuracy
0.76
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
0.815 [0.95,1,0.95,0.85,0.9,0.95,0.3,0.65,1,0.6]
recall
0.8 [1,0.8,0.95,0.75,0.75,0.9,0.45,1,0.9,0.5]
recall
0.83 [0.95,0.9,1,0.85,0.9,0.8,0.55,0.9,1,0.45]
recall
0.88 [0.95,0.9,0.95,0.95,1,0.9,0.75,0.9,0.95,0.55]
recall
0.78 [1,0.75,0.9,0.85,0.75,0.8,0.35,0.95,1,0.45]
recall
0.84 [1,0.85,1,0.75,0.85,0.85,0.6,1,1,0.5]
recall
0.785 [0.95,0.9,0.9,0.9,0.75,0.65,0.5,0.95,1,0.35]
recall
0.82 [1,0.9,0.95,1,0.7,0.95,0.5,0.9,0.85,0.45]
recall
0.83 [1,0.9,1,0.95,0.8,0.8,0.25,1,1,0.6]
recall
0.76 [1,0.95,0.85,0.75,0.7,0.95,0.35,0.85,0.8,0.4]
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.13333333333333353
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.2388888888888892
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.2666666666666669
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
0.19235384061671348
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.1549193338482967
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.20736441353327723
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.21908902300206642
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5163977794943226
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6912147117775912
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.7302967433402218
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
658.6853999979212
usercpu_time_millis
650.2779040019959
usercpu_time_millis
649.5558589958819
usercpu_time_millis
663.4541619932861
usercpu_time_millis
645.9986870031571
usercpu_time_millis
653.618208001717
usercpu_time_millis
654.2204900033539
usercpu_time_millis
651.1217799925362
usercpu_time_millis
644.4319169968367
usercpu_time_millis
637.7323580018128
usercpu_time_millis_testing
41.486946000077296
usercpu_time_millis_testing
39.33670699916547
usercpu_time_millis_testing
38.940209000429604
usercpu_time_millis_testing
37.23276199889369
usercpu_time_millis_testing
37.3868320020847
usercpu_time_millis_testing
37.544295002589934
usercpu_time_millis_testing
37.36253200622741
usercpu_time_millis_testing
36.82823699637083
usercpu_time_millis_testing
37.200603997916915
usercpu_time_millis_testing
36.97629299858818
usercpu_time_millis_training
617.1984539978439
usercpu_time_millis_training
610.9411970028304
usercpu_time_millis_training
610.6156499954523
usercpu_time_millis_training
626.2213999943924
usercpu_time_millis_training
608.6118550010724
usercpu_time_millis_training
616.0739129991271
usercpu_time_millis_training
616.8579579971265
usercpu_time_millis_training
614.2935429961653
usercpu_time_millis_training
607.2313129989197
usercpu_time_millis_training
600.7560650032246
wall_clock_time_millis
674.7558116912842
wall_clock_time_millis
650.3710746765137
wall_clock_time_millis
649.6198177337646
wall_clock_time_millis
663.5184288024902
wall_clock_time_millis
646.0614204406738
wall_clock_time_millis
653.6843776702881
wall_clock_time_millis
654.2954444885254
wall_clock_time_millis
651.1824131011963
wall_clock_time_millis
644.5262432098389
wall_clock_time_millis
637.8114223480225
wall_clock_time_millis_testing
41.50056838989258
wall_clock_time_millis_testing
39.3524169921875
wall_clock_time_millis_testing
38.95425796508789
wall_clock_time_millis_testing
37.2471809387207
wall_clock_time_millis_testing
37.40119934082031
wall_clock_time_millis_testing
37.56070137023926
wall_clock_time_millis_testing
37.37759590148926
wall_clock_time_millis_testing
36.84258460998535
wall_clock_time_millis_testing
37.217140197753906
wall_clock_time_millis_testing
36.99135780334473
wall_clock_time_millis_training
633.2552433013916
wall_clock_time_millis_training
611.0186576843262
wall_clock_time_millis_training
610.6655597686768
wall_clock_time_millis_training
626.2712478637695
wall_clock_time_millis_training
608.6602210998535
wall_clock_time_millis_training
616.1236763000488
wall_clock_time_millis_training
616.9178485870361
wall_clock_time_millis_training
614.3398284912109
wall_clock_time_millis_training
607.309103012085
wall_clock_time_millis_training
600.8200645446777