10327457
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)
8183124
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
578.238763147937
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.8557464430199619
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
2.478182233168571e-05
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
60776
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
21576600
description
https://api.openml.org/data/download/21576600/description.xml
-1
21576601
predictions
https://api.openml.org/data/download/21576601/predictions.arff
area_under_roc_curve
0.9802777777777777 [0.991667,0.981667,0.989444,0.975833,0.986111,0.962778,0.986667,0.985,0.968056,0.975556]
average_cost
0
f_measure
0.9645747445641931 [0.985,0.9375,0.984925,0.962217,0.975,0.944162,0.979899,0.965347,0.951899,0.959799]
kappa
0.9605555555555556
kb_relative_information_score
0.9628756090850972
mean_absolute_error
0.007099999999999991
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9650462668021519 [0.985,0.902778,0.989899,0.969543,0.975,0.958763,0.984848,0.955882,0.964103,0.964646]
predictive_accuracy
0.9645
prior_entropy
3.3219280948872383
recall
0.9645 [0.985,0.975,0.98,0.955,0.975,0.93,0.975,0.975,0.94,0.955]
relative_absolute_error
0.03944444444444318
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.08426149773176353
root_relative_squared_error
0.28087165910587414
total_cost
0
area_under_roc_curve
0.9777777777777777 [0.972222,0.988889,1,0.972222,1,0.975,0.975,0.997222,0.897222,1]
area_under_roc_curve
0.9833333333333334 [1,0.972222,1,0.975,0.975,0.972222,0.994444,0.972222,1,0.972222]
area_under_roc_curve
0.986111111111111 [0.997222,0.975,0.994444,1,1,0.975,1,0.95,0.975,0.994444]
area_under_roc_curve
0.9805555555555557 [0.972222,0.988889,1,0.95,0.975,0.975,1,0.997222,0.997222,0.95]
area_under_roc_curve
0.9666666666666666 [1,0.991667,0.95,0.947222,0.994444,0.944444,0.975,0.969444,0.919444,0.975]
area_under_roc_curve
0.9833333333333334 [1,0.966667,1,0.975,0.95,0.975,1,0.997222,0.997222,0.972222]
area_under_roc_curve
0.9805555555555554 [0.975,0.969444,0.975,0.994444,0.997222,0.922222,1,0.997222,0.975,1]
area_under_roc_curve
0.9805555555555556 [1,0.997222,0.975,0.997222,0.994444,0.947222,0.975,1,0.925,0.994444]
area_under_roc_curve
0.9833333333333333 [1,0.972222,1,0.972222,1,0.969444,1,0.994444,1,0.925]
area_under_roc_curve
0.9805555555555554 [1,0.994444,1,0.975,0.975,0.972222,0.947222,0.975,0.994444,0.972222]
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
0.9598283478771283 [0.95,0.909091,1,0.95,1,0.974359,0.974359,0.97561,0.864865,1]
f_measure
0.9701098901098901 [1,0.95,1,0.974359,0.974359,0.95,0.952381,0.95,1,0.95]
f_measure
0.975081700498902 [0.97561,0.974359,0.952381,1,1,0.974359,1,0.947368,0.974359,0.952381]
f_measure
0.9653765212109242 [0.95,0.909091,1,0.947368,0.974359,0.974359,1,0.97561,0.97561,0.947368]
f_measure
0.9400400943455545 [1,0.930233,0.947368,0.923077,0.952381,0.9,0.974359,0.926829,0.871795,0.974359]
f_measure
0.9702067786727605 [1,0.904762,1,0.974359,0.947368,0.974359,1,0.97561,0.97561,0.95]
f_measure
0.9648243498050942 [0.974359,0.926829,0.974359,0.952381,0.97561,0.894737,1,0.97561,0.974359,1]
f_measure
0.9646695207670818 [1,0.97561,0.974359,0.97561,0.952381,0.923077,0.974359,1,0.918919,0.952381]
f_measure
0.9698129139592554 [1,0.95,1,0.95,1,0.926829,1,0.952381,1,0.918919]
f_measure
0.9650915750915751 [1,0.952381,1,0.974359,0.974359,0.95,0.923077,0.974359,0.952381,0.95]
kappa
0.9555555555555555
kappa
0.9666666666666667
kappa
0.9722222222222222
kappa
0.961111111111111
kappa
0.9333333333333332
kappa
0.9666666666666667
kappa
0.961111111111111
kappa
0.961111111111111
kappa
0.9666666666666667
kappa
0.961111111111111
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9372545505663603
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.963398487830377
mean_absolute_error
0.008
mean_absolute_error
0.006
mean_absolute_error
0.005
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.012
mean_absolute_error
0.006
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.006
mean_absolute_error
0.006999999999999999
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
0.9626890756302521 [0.95,0.833333,1,0.95,1,1,1,0.952381,0.941176,1]
precision
0.9709090909090909 [1,0.95,1,1,1,0.95,0.909091,0.95,1,0.95]
precision
0.9770562770562771 [0.952381,1,0.909091,1,1,1,1,1,1,0.909091]
precision
0.9688095238095238 [0.95,0.833333,1,1,1,1,1,0.952381,0.952381,1]
precision
0.9425523294402014 [1,0.869565,1,0.947368,0.909091,0.9,1,0.904762,0.894737,1]
precision
0.9718398268398267 [1,0.863636,1,1,1,1,1,0.952381,0.952381,0.95]
precision
0.9663059163059162 [1,0.904762,1,0.909091,0.952381,0.944444,1,0.952381,1,1]
precision
0.9670312143996356 [1,0.952381,1,0.952381,0.909091,0.947368,1,1,1,0.909091]
precision
0.9713852813852815 [1,0.95,1,0.95,1,0.904762,1,0.909091,1,1]
precision
0.9665550239234451 [1,0.909091,1,1,1,0.95,0.947368,1,0.909091,0.95]
predictive_accuracy
0.96
predictive_accuracy
0.97
predictive_accuracy
0.975
predictive_accuracy
0.965
predictive_accuracy
0.94
predictive_accuracy
0.97
predictive_accuracy
0.965
predictive_accuracy
0.965
predictive_accuracy
0.97
predictive_accuracy
0.965
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
0.96 [0.95,1,1,0.95,1,0.95,0.95,1,0.8,1]
recall
0.97 [1,0.95,1,0.95,0.95,0.95,1,0.95,1,0.95]
recall
0.975 [1,0.95,1,1,1,0.95,1,0.9,0.95,1]
recall
0.965 [0.95,1,1,0.9,0.95,0.95,1,1,1,0.9]
recall
0.94 [1,1,0.9,0.9,1,0.9,0.95,0.95,0.85,0.95]
recall
0.97 [1,0.95,1,0.95,0.9,0.95,1,1,1,0.95]
recall
0.965 [0.95,0.95,0.95,1,1,0.85,1,1,0.95,1]
recall
0.965 [1,1,0.95,1,1,0.9,0.95,1,0.85,1]
recall
0.97 [1,0.95,1,0.95,1,0.95,1,1,1,0.85]
recall
0.965 [1,1,1,0.95,0.95,0.95,0.9,0.95,1,0.95]
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.06666666666666674
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.03888888888888893
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
0.08944271909999159
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.10954451150103323
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.08366600265340755
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.36514837167011094
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.27888667551135865
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
230.1729989994783
usercpu_time_millis
228.92670799046755
usercpu_time_millis
229.80435300269164
usercpu_time_millis
229.01317299692892
usercpu_time_millis
222.97410199826118
usercpu_time_millis
229.48213299241615
usercpu_time_millis
232.62193700065836
usercpu_time_millis
231.9595009976183
usercpu_time_millis
236.1188989962102
usercpu_time_millis
231.70742399815936
usercpu_time_millis_testing
23.990800000319723
usercpu_time_millis_testing
23.59132599667646
usercpu_time_millis_testing
23.361382001894526
usercpu_time_millis_testing
24.226105997513514
usercpu_time_millis_testing
23.274777995538898
usercpu_time_millis_testing
23.499236995121464
usercpu_time_millis_testing
23.97678600391373
usercpu_time_millis_testing
23.699673998635262
usercpu_time_millis_testing
23.8215700010187
usercpu_time_millis_testing
23.465521000616718
usercpu_time_millis_training
206.18219899915857
usercpu_time_millis_training
205.3353819937911
usercpu_time_millis_training
206.44297100079712
usercpu_time_millis_training
204.7870669994154
usercpu_time_millis_training
199.69932400272228
usercpu_time_millis_training
205.9828959972947
usercpu_time_millis_training
208.64515099674463
usercpu_time_millis_training
208.25982699898304
usercpu_time_millis_training
212.2973289951915
usercpu_time_millis_training
208.24190299754264
wall_clock_time_millis
262.1958255767822
wall_clock_time_millis
228.9583683013916
wall_clock_time_millis
229.88033294677734
wall_clock_time_millis
333.07743072509766
wall_clock_time_millis
223.01769256591797
wall_clock_time_millis
261.5039348602295
wall_clock_time_millis
232.70916938781738
wall_clock_time_millis
232.00440406799316
wall_clock_time_millis
236.15455627441406
wall_clock_time_millis
231.73975944519043
wall_clock_time_millis_testing
24.003028869628906
wall_clock_time_millis_testing
23.60248565673828
wall_clock_time_millis_testing
23.372888565063477
wall_clock_time_millis_testing
24.239063262939453
wall_clock_time_millis_testing
23.287534713745117
wall_clock_time_millis_testing
23.51093292236328
wall_clock_time_millis_testing
23.98991584777832
wall_clock_time_millis_testing
23.712873458862305
wall_clock_time_millis_testing
23.8344669342041
wall_clock_time_millis_testing
23.476839065551758
wall_clock_time_millis_training
238.19279670715332
wall_clock_time_millis_training
205.35588264465332
wall_clock_time_millis_training
206.50744438171387
wall_clock_time_millis_training
308.8383674621582
wall_clock_time_millis_training
199.73015785217285
wall_clock_time_millis_training
237.9930019378662
wall_clock_time_millis_training
208.71925354003906
wall_clock_time_millis_training
208.29153060913086
wall_clock_time_millis_training
212.32008934020996
wall_clock_time_millis_training
208.26292037963867