10327039
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)
8182707
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
0.6157059094805306
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.704295099468238
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.010149764127328098
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
25687
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
21575764
description
https://api.openml.org/data/download/21575764/description.xml
-1
21575765
predictions
https://api.openml.org/data/download/21575765/predictions.arff
area_under_roc_curve
0.9841666666666667 [0.9875,0.989167,0.994444,0.978333,0.988889,0.968333,0.988889,0.986667,0.983611,0.975833]
average_cost
0
f_measure
0.9716135212001926 [0.987342,0.945107,0.99,0.964824,0.98,0.954315,0.98,0.979899,0.972431,0.962217]
kappa
0.9683333333333334
kb_relative_information_score
0.9701959115190215
mean_absolute_error
0.005699999999999996
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9722144727602422 [1,0.90411,0.99,0.969697,0.98,0.969072,0.98,0.984848,0.974874,0.969543]
predictive_accuracy
0.9715
prior_entropy
3.3219280948872383
recall
0.9715 [0.975,0.99,0.99,0.96,0.98,0.94,0.98,0.975,0.97,0.955]
relative_absolute_error
0.03166666666666567
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.07549834435270747
root_relative_squared_error
0.2516611478423544
total_cost
0
area_under_roc_curve
0.9888888888888888 [0.975,0.991667,1,1,1,0.975,0.997222,1,0.95,1]
area_under_roc_curve
0.9805555555555554 [1,0.969444,1,0.975,0.975,0.969444,0.969444,0.975,1,0.972222]
area_under_roc_curve
0.9916666666666666 [1,0.997222,0.997222,0.975,1,0.997222,1,0.975,1,0.975]
area_under_roc_curve
0.9861111111111112 [0.975,0.991667,0.997222,0.975,0.975,0.975,1,1,1,0.972222]
area_under_roc_curve
0.977777777777778 [1,0.994444,0.95,0.944444,0.997222,0.975,1,0.947222,0.997222,0.972222]
area_under_roc_curve
0.9833333333333332 [1,0.969444,1,0.975,0.975,0.95,1,0.997222,0.994444,0.972222]
area_under_roc_curve
0.9888888888888888 [0.975,0.994444,1,0.997222,1,0.947222,1,1,0.975,1]
area_under_roc_curve
0.9861111111111112 [0.975,0.997222,1,1,0.994444,0.975,0.975,1,0.947222,0.997222]
area_under_roc_curve
0.9805555555555554 [0.975,0.994444,1,0.969444,0.997222,0.947222,1,0.997222,1,0.925]
area_under_roc_curve
0.9777777777777777 [1,0.991667,1,0.972222,0.975,0.972222,0.947222,0.975,0.972222,0.972222]
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
0.9801928684007676 [0.974359,0.930233,1,1,1,0.974359,0.97561,1,0.947368,1]
f_measure
0.9653564727954971 [1,0.926829,1,0.974359,0.974359,0.926829,0.926829,0.974359,1,0.95]
f_measure
0.9849906191369605 [1,0.97561,0.97561,0.974359,1,0.97561,1,0.974359,1,0.974359]
f_measure
0.9753278211672993 [0.974359,0.930233,0.97561,0.974359,0.974359,0.974359,1,1,1,0.95]
f_measure
0.9598404783064604 [1,0.952381,0.947368,0.9,0.97561,0.974359,1,0.923077,0.97561,0.95]
f_measure
0.9700906346541776 [1,0.926829,1,0.974359,0.974359,0.947368,1,0.97561,0.952381,0.95]
f_measure
0.9799785580273384 [0.974359,0.952381,1,0.97561,1,0.923077,1,1,0.974359,1]
f_measure
0.9749754310729919 [0.974359,0.97561,1,1,0.952381,0.974359,0.974359,1,0.923077,0.97561]
f_measure
0.9646784549223574 [0.974359,0.952381,1,0.926829,0.97561,0.923077,1,0.97561,1,0.918919]
f_measure
0.9602027429934407 [1,0.930233,1,0.95,0.974359,0.95,0.923077,0.974359,0.95,0.95]
kappa
0.9777777777777777
kappa
0.961111111111111
kappa
0.9833333333333333
kappa
0.9722222222222222
kappa
0.9555555555555555
kappa
0.9666666666666667
kappa
0.9777777777777777
kappa
0.9722222222222222
kappa
0.961111111111111
kappa
0.9555555555555555
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9843136376415902
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9581697003775735
mean_absolute_error
0.004
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.0030000000000000005
mean_absolute_error
0.005
mean_absolute_error
0.008
mean_absolute_error
0.006
mean_absolute_error
0.004
mean_absolute_error
0.005
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.008
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
0.9821946169772257 [1,0.869565,1,1,1,1,0.952381,1,1,1]
precision
0.9664285714285715 [1,0.904762,1,1,1,0.904762,0.904762,1,1,0.95]
precision
0.9857142857142859 [1,0.952381,0.952381,1,1,0.952381,1,1,1,1]
precision
0.9771946169772256 [1,0.869565,0.952381,1,1,1,1,1,1,0.95]
precision
0.9611221234905445 [1,0.909091,1,0.9,0.952381,1,1,0.947368,0.952381,0.95]
precision
0.9716233766233766 [1,0.904762,1,1,1,1,1,0.952381,0.909091,0.95]
precision
0.9808840282524492 [1,0.909091,1,0.952381,1,0.947368,1,1,1,1]
precision
0.9761221234905445 [1,0.952381,1,1,0.909091,1,1,1,0.947368,0.952381]
precision
0.966598313966735 [1,0.909091,1,0.904762,0.952381,0.947368,1,0.952381,1,1]
precision
0.9616933638443936 [1,0.869565,1,0.95,1,0.95,0.947368,1,0.95,0.95]
predictive_accuracy
0.98
predictive_accuracy
0.965
predictive_accuracy
0.985
predictive_accuracy
0.975
predictive_accuracy
0.96
predictive_accuracy
0.97
predictive_accuracy
0.98
predictive_accuracy
0.975
predictive_accuracy
0.965
predictive_accuracy
0.96
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
0.98 [0.95,1,1,1,1,0.95,1,1,0.9,1]
recall
0.965 [1,0.95,1,0.95,0.95,0.95,0.95,0.95,1,0.95]
recall
0.985 [1,1,1,0.95,1,1,1,0.95,1,0.95]
recall
0.975 [0.95,1,1,0.95,0.95,0.95,1,1,1,0.95]
recall
0.96 [1,1,0.9,0.9,1,0.95,1,0.9,1,0.95]
recall
0.97 [1,0.95,1,0.95,0.95,0.9,1,1,1,0.95]
recall
0.98 [0.95,1,1,1,1,0.9,1,1,0.95,1]
recall
0.975 [0.95,1,1,1,1,0.95,0.95,1,0.9,1]
recall
0.965 [0.95,1,1,0.95,1,0.9,1,1,1,0.85]
recall
0.96 [1,1,1,0.95,0.95,0.95,0.9,0.95,0.95,0.95]
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.016666666666666687
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.0444444444444445
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
0.06324555320336758
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.05477225575051661
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.08944271909999159
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.08944271909999159
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.18257418583505547
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.29814239699997214
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
375.00117500894703
usercpu_time_millis
367.86700499942526
usercpu_time_millis
367.9872569991858
usercpu_time_millis
381.3419079888263
usercpu_time_millis
371.5679300003103
usercpu_time_millis
377.8957789982087
usercpu_time_millis
385.8024629953434
usercpu_time_millis
379.59030300407903
usercpu_time_millis
375.8096830060822
usercpu_time_millis
373.95117500273045
usercpu_time_millis_testing
35.41728300479008
usercpu_time_millis_testing
35.22033299668692
usercpu_time_millis_testing
34.591964998980984
usercpu_time_millis_testing
35.51790999335935
usercpu_time_millis_testing
35.10659000312444
usercpu_time_millis_testing
35.41152799880365
usercpu_time_millis_testing
36.01300199807156
usercpu_time_millis_testing
35.517898002581205
usercpu_time_millis_testing
35.82222200202523
usercpu_time_millis_testing
35.53864399873419
usercpu_time_millis_training
339.58389200415695
usercpu_time_millis_training
332.64667200273834
usercpu_time_millis_training
333.3952920002048
usercpu_time_millis_training
345.8239979954669
usercpu_time_millis_training
336.46133999718586
usercpu_time_millis_training
342.48425099940505
usercpu_time_millis_training
349.7894609972718
usercpu_time_millis_training
344.0724050014978
usercpu_time_millis_training
339.98746100405697
usercpu_time_millis_training
338.41253100399626
wall_clock_time_millis
660.9647274017334
wall_clock_time_millis
367.9389953613281
wall_clock_time_millis
396.0528373718262
wall_clock_time_millis
461.4412784576416
wall_clock_time_millis
419.62385177612305
wall_clock_time_millis
458.0094814300537
wall_clock_time_millis
513.8287544250488
wall_clock_time_millis
423.6299991607666
wall_clock_time_millis
383.85915756225586
wall_clock_time_millis
374.0561008453369
wall_clock_time_millis_testing
51.42927169799805
wall_clock_time_millis_testing
35.23588180541992
wall_clock_time_millis_testing
34.60550308227539
wall_clock_time_millis_testing
35.53175926208496
wall_clock_time_millis_testing
35.12144088745117
wall_clock_time_millis_testing
67.43431091308594
wall_clock_time_millis_testing
84.01966094970703
wall_clock_time_millis_testing
35.53295135498047
wall_clock_time_millis_testing
35.83693504333496
wall_clock_time_millis_testing
35.55440902709961
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
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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
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wall_clock_time_millis_training
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wall_clock_time_millis_training
348.0222225189209
wall_clock_time_millis_training
338.5016918182373