10327409
8323
Heinrich Peters
16
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8183076
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
36.08550842537873
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.045747192972740616
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
5310
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.
16
mfeat-karhunen
https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff
-1
21576504
description
https://api.openml.org/data/download/21576504/description.xml
-1
21576505
predictions
https://api.openml.org/data/download/21576505/predictions.arff
area_under_roc_curve
0.9816666666666667 [0.9775,0.990278,0.9875,0.970556,0.989722,0.973333,0.981944,0.981944,0.9875,0.976389]
average_cost
0
f_measure
0.9673284764350121 [0.976982,0.97284,0.987342,0.954545,0.987406,0.940887,0.977215,0.977215,0.931765,0.967089]
kappa
0.9633333333333333
kb_relative_information_score
0.9654900028114989
mean_absolute_error
0.006599999999999992
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.968634400690361 [1,0.960976,1,0.964286,0.994924,0.927184,0.989744,0.989744,0.88,0.979487]
predictive_accuracy
0.9670000000000001
prior_entropy
3.3219280948872383
recall
0.967 [0.955,0.985,0.975,0.945,0.98,0.955,0.965,0.965,0.99,0.955]
relative_absolute_error
0.036666666666665494
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.08124038404635955
root_relative_squared_error
0.2708012801545277
total_cost
0
area_under_roc_curve
0.9833333333333333 [0.95,0.991667,1,1,1,0.972222,0.975,1,0.944444,1]
area_under_roc_curve
0.9833333333333334 [0.975,0.975,1,1,1,0.966667,0.972222,0.975,0.997222,0.972222]
area_under_roc_curve
0.9749999999999999 [0.95,0.975,0.975,0.922222,1,0.994444,1,0.95,0.983333,1]
area_under_roc_curve
0.9833333333333333 [0.975,0.997222,1,0.975,0.975,0.975,0.997222,1,0.988889,0.95]
area_under_roc_curve
0.9722222222222223 [1,0.994444,0.95,0.941667,0.975,0.975,1,0.922222,0.991667,0.972222]
area_under_roc_curve
0.9888888888888888 [1,0.997222,1,0.975,0.975,0.969444,0.975,1,0.997222,1]
area_under_roc_curve
0.9916666666666667 [0.975,1,0.975,0.997222,1,0.975,1,1,0.994444,1]
area_under_roc_curve
0.9861111111111112 [0.975,1,1,0.975,0.997222,0.969444,0.975,1,0.997222,0.972222]
area_under_roc_curve
0.9777777777777779 [0.975,0.972222,1,0.972222,1,0.966667,0.975,0.997222,0.994444,0.925]
area_under_roc_curve
0.975 [1,1,0.975,0.947222,0.975,0.969444,0.95,0.975,0.986111,0.972222]
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
0.970195995355114 [0.947368,0.930233,1,1,1,0.95,0.974359,1,0.9,1]
f_measure
0.9703448583936388 [0.974359,0.974359,1,1,1,0.904762,0.95,0.974359,0.97561,0.95]
f_measure
0.9560137802700731 [0.947368,0.974359,0.974359,0.894737,1,0.952381,1,0.947368,0.869565,1]
f_measure
0.970511473977456 [0.974359,0.97561,1,0.974359,0.974359,0.974359,0.97561,1,0.909091,0.947368]
f_measure
0.9501485502884135 [1,0.952381,0.947368,0.878049,0.974359,0.974359,1,0.894737,0.930233,0.95]
f_measure
0.9801125703564728 [1,0.97561,1,0.974359,0.974359,0.926829,0.974359,1,0.97561,1]
f_measure
0.9851067631555437 [0.974359,1,0.974359,0.97561,1,0.974359,1,1,0.952381,1]
f_measure
0.9751125703564728 [0.974359,1,1,0.974359,0.97561,0.926829,0.974359,1,0.97561,0.95]
f_measure
0.9600389480877284 [0.974359,0.95,1,0.95,1,0.904762,0.974359,0.97561,0.952381,0.918919]
f_measure
0.9559240424388049 [1,1,0.974359,0.923077,0.974359,0.926829,0.947368,0.974359,0.888889,0.95]
kappa
0.9666666666666667
kappa
0.9666666666666667
kappa
0.95
kappa
0.9666666666666667
kappa
0.9444444444444444
kappa
0.9777777777777777
kappa
0.9833333333333333
kappa
0.9722222222222222
kappa
0.9555555555555555
kappa
0.95
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9529409129247703
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9477121254719669
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9843136376415902
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.9529409129247703
mean_absolute_error
0.006
mean_absolute_error
0.006
mean_absolute_error
0.009
mean_absolute_error
0.006
mean_absolute_error
0.009999999999999998
mean_absolute_error
0.004
mean_absolute_error
0.0030000000000000005
mean_absolute_error
0.005
mean_absolute_error
0.008
mean_absolute_error
0.009
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
0.9719565217391305 [1,0.869565,1,1,1,0.95,1,1,0.9,1]
precision
0.9716017316017316 [1,1,1,1,1,0.863636,0.95,1,0.952381,0.95]
precision
0.9622766122766123 [1,1,1,0.944444,1,0.909091,1,1,0.769231,1]
precision
0.9738095238095238 [1,0.952381,1,1,1,1,0.952381,1,0.833333,1]
precision
0.9530243428069515 [1,0.909091,1,0.857143,1,1,1,0.944444,0.869565,0.95]
precision
0.9809523809523809 [1,0.952381,1,1,1,0.904762,1,1,0.952381,1]
precision
0.9861471861471861 [1,1,1,0.952381,1,1,1,1,0.909091,1]
precision
0.9759523809523809 [1,1,1,1,0.952381,0.904762,1,1,0.952381,0.95]
precision
0.9625108225108225 [1,0.95,1,0.95,1,0.863636,1,0.952381,0.909091,1]
precision
0.9602130325814536 [1,1,1,0.947368,1,0.904762,1,1,0.8,0.95]
predictive_accuracy
0.97
predictive_accuracy
0.97
predictive_accuracy
0.955
predictive_accuracy
0.97
predictive_accuracy
0.95
predictive_accuracy
0.98
predictive_accuracy
0.985
predictive_accuracy
0.975
predictive_accuracy
0.96
predictive_accuracy
0.955
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
0.97 [0.9,1,1,1,1,0.95,0.95,1,0.9,1]
recall
0.97 [0.95,0.95,1,1,1,0.95,0.95,0.95,1,0.95]
recall
0.955 [0.9,0.95,0.95,0.85,1,1,1,0.9,1,1]
recall
0.97 [0.95,1,1,0.95,0.95,0.95,1,1,1,0.9]
recall
0.95 [1,1,0.9,0.9,0.95,0.95,1,0.85,1,0.95]
recall
0.98 [1,1,1,0.95,0.95,0.95,0.95,1,1,1]
recall
0.985 [0.95,1,0.95,1,1,0.95,1,1,1,1]
recall
0.975 [0.95,1,1,0.95,1,0.95,0.95,1,1,0.95]
recall
0.96 [0.95,0.95,1,0.95,1,0.95,0.95,1,1,0.85]
recall
0.955 [1,1,0.95,0.9,0.95,0.95,0.9,0.95,1,0.95]
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.05000000000000005
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.055555555555555615
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.016666666666666687
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.05000000000000005
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
0.07745966692414834
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.09486832980505137
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.09999999999999999
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.05477225575051661
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.08944271909999159
root_mean_squared_error
0.09486832980505137
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.31622776601683816
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.3333333333333335
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.18257418583505547
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.31622776601683816
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
1003.4527340030763
usercpu_time_millis
1013.3679999999003
usercpu_time_millis
1004.6505959981005
usercpu_time_millis
1003.7475119970622
usercpu_time_millis
999.9640520036337
usercpu_time_millis
1001.4641870002379
usercpu_time_millis
1004.5385729972622
usercpu_time_millis
1011.056011004257
usercpu_time_millis
1021.9884449979872
usercpu_time_millis
996.9969090088853
usercpu_time_millis_testing
48.54122600227129
usercpu_time_millis_testing
49.020443999324925
usercpu_time_millis_testing
48.25308299768949
usercpu_time_millis_testing
48.85672799719032
usercpu_time_millis_testing
48.37041599967051
usercpu_time_millis_testing
48.46123300376348
usercpu_time_millis_testing
51.02468599943677
usercpu_time_millis_testing
49.2254109994974
usercpu_time_millis_testing
48.7721590034198
usercpu_time_millis_testing
49.03453300357796
usercpu_time_millis_training
954.911508000805
usercpu_time_millis_training
964.3475560005754
usercpu_time_millis_training
956.397513000411
usercpu_time_millis_training
954.8907839998719
usercpu_time_millis_training
951.5936360039632
usercpu_time_millis_training
953.0029539964744
usercpu_time_millis_training
953.5138869978255
usercpu_time_millis_training
961.8306000047596
usercpu_time_millis_training
973.2162859945674
usercpu_time_millis_training
947.9623760053073
wall_clock_time_millis
1215.5704498291016
wall_clock_time_millis
1220.0217247009277
wall_clock_time_millis
1160.7613563537598
wall_clock_time_millis
1243.8247203826904
wall_clock_time_millis
1080.0466537475586
wall_clock_time_millis
1177.5617599487305
wall_clock_time_millis
1219.0580368041992
wall_clock_time_millis
1139.164686203003
wall_clock_time_millis
1022.1648216247559
wall_clock_time_millis
1301.2051582336426
wall_clock_time_millis_testing
48.55656623840332
wall_clock_time_millis_testing
49.035072326660156
wall_clock_time_millis_testing
48.26831817626953
wall_clock_time_millis_testing
96.87232971191406
wall_clock_time_millis_testing
64.38350677490234
wall_clock_time_millis_testing
48.47574234008789
wall_clock_time_millis_testing
89.47372436523438
wall_clock_time_millis_testing
49.241065979003906
wall_clock_time_millis_testing
48.78687858581543
wall_clock_time_millis_testing
49.048662185668945
wall_clock_time_millis_training
1167.0138835906982
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
1015.6631469726562
wall_clock_time_millis_training
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wall_clock_time_millis_training
1129.5843124389648
wall_clock_time_millis_training
1089.923620223999
wall_clock_time_millis_training
973.3779430389404
wall_clock_time_millis_training
1252.1564960479736