10327439
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)
8183106
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
1.799125831143992
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.7926565732345652
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.01858955180141993
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
23649
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
21576564
description
https://api.openml.org/data/download/21576564/description.xml
-1
21576565
predictions
https://api.openml.org/data/download/21576565/predictions.arff
area_under_roc_curve
0.9883333333333332 [0.996667,0.989167,0.99,0.983333,0.992222,0.976944,0.991667,0.990556,0.989722,0.983056]
average_cost
0
f_measure
0.9790467965073355 [0.99005,0.963325,0.989899,0.97,0.98995,0.97201,0.985,0.975248,0.987406,0.967581]
kappa
0.9766666666666667
kb_relative_information_score
0.9780390926982265
mean_absolute_error
0.0042000000000000015
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9793103309288935 [0.985149,0.942584,1,0.97,0.994949,0.989637,0.985,0.965686,0.994924,0.965174]
predictive_accuracy
0.9790000000000001
prior_entropy
3.3219280948872383
recall
0.979 [0.995,0.985,0.98,0.97,0.985,0.955,0.985,0.985,0.98,0.97]
relative_absolute_error
0.023333333333332623
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.06480740698407861
root_relative_squared_error
0.21602468994692536
total_cost
0
area_under_roc_curve
0.9944444444444445 [1,0.994444,1,1,1,0.975,1,1,0.975,1]
area_under_roc_curve
0.9861111111111112 [1,0.975,1,0.972222,1,0.972222,0.997222,0.972222,1,0.972222]
area_under_roc_curve
0.9916666666666667 [1,0.972222,1,0.975,1,1,1,0.975,1,0.994444]
area_under_roc_curve
0.9888888888888888 [0.997222,0.994444,1,0.975,0.975,0.975,1,1,1,0.972222]
area_under_roc_curve
0.9805555555555556 [0.994444,0.997222,0.95,0.944444,1,0.975,1,0.994444,0.975,0.975]
area_under_roc_curve
0.9888888888888888 [1,0.972222,1,1,0.975,0.975,0.997222,0.997222,1,0.972222]
area_under_roc_curve
0.9861111111111112 [0.975,0.997222,0.975,0.994444,1,0.947222,1,0.997222,0.975,1]
area_under_roc_curve
0.9888888888888888 [1,0.997222,0.975,1,0.997222,0.975,0.975,0.997222,0.975,0.997222]
area_under_roc_curve
0.9888888888888888 [1,0.994444,1,0.972222,1,0.975,1,0.997222,1,0.95]
area_under_roc_curve
0.9888888888888888 [1,0.997222,1,1,0.975,1,0.947222,0.975,0.997222,0.997222]
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
0.99010989010989 [1,0.952381,1,1,1,0.974359,1,1,0.974359,1]
f_measure
0.9749968730456535 [1,0.974359,1,0.95,1,0.95,0.97561,0.95,1,0.95]
f_measure
0.98510989010989 [1,0.95,1,0.974359,1,1,1,0.974359,1,0.952381]
f_measure
0.9801067631555437 [0.97561,0.952381,1,0.974359,0.974359,0.974359,1,1,1,0.95]
f_measure
0.965081700498902 [0.952381,0.97561,0.947368,0.9,1,0.974359,1,0.952381,0.974359,0.974359]
f_measure
0.979993746091307 [1,0.95,1,1,0.974359,0.974359,0.97561,0.97561,1,0.95]
f_measure
0.9749754310729919 [0.974359,0.97561,0.974359,0.952381,1,0.923077,1,0.97561,0.974359,1]
f_measure
0.9799874921826139 [1,0.97561,0.974359,1,0.97561,0.974359,0.974359,0.97561,0.974359,0.97561]
f_measure
0.9799718103890119 [1,0.952381,1,0.95,1,0.974359,1,0.97561,1,0.947368]
f_measure
0.9798624140087553 [1,0.97561,1,1,0.974359,1,0.923077,0.974359,0.97561,0.97561]
kappa
0.9888888888888889
kappa
0.9722222222222222
kappa
0.9833333333333333
kappa
0.9777777777777777
kappa
0.961111111111111
kappa
0.9777777777777777
kappa
0.9722222222222222
kappa
0.9777777777777777
kappa
0.9777777777777777
kappa
0.9777777777777777
kb_relative_information_score
0.9895424250943934
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9843136376415902
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9790848501887868
kb_relative_information_score
0.9790848501887868
mean_absolute_error
0.002
mean_absolute_error
0.005
mean_absolute_error
0.0030000000000000005
mean_absolute_error
0.004
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.004
mean_absolute_error
0.005
mean_absolute_error
0.004
mean_absolute_error
0.004
mean_absolute_error
0.004
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
0.990909090909091 [1,0.909091,1,1,1,1,1,1,1,1]
precision
0.9752380952380952 [1,1,1,0.95,1,0.95,0.952381,0.95,1,0.95]
precision
0.985909090909091 [1,0.95,1,1,1,1,1,1,1,0.909091]
precision
0.9811471861471861 [0.952381,0.909091,1,1,1,1,1,1,1,0.95]
precision
0.9670562770562771 [0.909091,0.952381,1,0.9,1,1,1,0.909091,1,1]
precision
0.9804761904761904 [1,0.95,1,1,1,1,0.952381,0.952381,1,0.95]
precision
0.9761221234905445 [1,0.952381,1,0.909091,1,0.947368,1,0.952381,1,1]
precision
0.9809523809523809 [1,0.952381,1,1,0.952381,1,1,0.952381,1,0.952381]
precision
0.9811471861471861 [1,0.909091,1,0.95,1,1,1,0.952381,1,1]
precision
0.9804511278195488 [1,0.952381,1,1,1,1,0.947368,1,0.952381,0.952381]
predictive_accuracy
0.99
predictive_accuracy
0.975
predictive_accuracy
0.985
predictive_accuracy
0.98
predictive_accuracy
0.965
predictive_accuracy
0.98
predictive_accuracy
0.975
predictive_accuracy
0.98
predictive_accuracy
0.98
predictive_accuracy
0.98
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
0.99 [1,1,1,1,1,0.95,1,1,0.95,1]
recall
0.975 [1,0.95,1,0.95,1,0.95,1,0.95,1,0.95]
recall
0.985 [1,0.95,1,0.95,1,1,1,0.95,1,1]
recall
0.98 [1,1,1,0.95,0.95,0.95,1,1,1,0.95]
recall
0.965 [1,1,0.9,0.9,1,0.95,1,1,0.95,0.95]
recall
0.98 [1,0.95,1,1,0.95,0.95,1,1,1,0.95]
recall
0.975 [0.95,1,0.95,1,1,0.9,1,1,0.95,1]
recall
0.98 [1,1,0.95,1,1,0.95,0.95,1,0.95,1]
recall
0.98 [1,1,1,0.95,1,0.95,1,1,1,0.9]
recall
0.98 [1,1,1,1,0.95,1,0.9,0.95,1,1]
relative_absolute_error
0.011111111111111125
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.016666666666666687
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.02222222222222225
relative_absolute_error
0.02222222222222225
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
0.044721359549995794
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.05477225575051661
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.06324555320336758
root_mean_squared_error
0.06324555320336758
root_relative_squared_error
0.14907119849998607
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.18257418583505547
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.21081851067789206
root_relative_squared_error
0.21081851067789206
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
326.199381997867
usercpu_time_millis
312.5392229994759
usercpu_time_millis
308.9169459999539
usercpu_time_millis
312.7758610062301
usercpu_time_millis
317.0982020019437
usercpu_time_millis
318.6017229963909
usercpu_time_millis
309.775781002827
usercpu_time_millis
315.13475199608365
usercpu_time_millis
313.40617399837356
usercpu_time_millis
316.9979780068388
usercpu_time_millis_testing
26.5191459984635
usercpu_time_millis_testing
26.16235800087452
usercpu_time_millis_testing
26.287011001841165
usercpu_time_millis_testing
26.54004000214627
usercpu_time_millis_testing
26.549031004833523
usercpu_time_millis_testing
26.922068995190784
usercpu_time_millis_testing
26.252488998579793
usercpu_time_millis_testing
27.17958299763268
usercpu_time_millis_testing
26.518161997955758
usercpu_time_millis_testing
26.255868004227523
usercpu_time_millis_training
299.6802359994035
usercpu_time_millis_training
286.3768649986014
usercpu_time_millis_training
282.62993499811273
usercpu_time_millis_training
286.23582100408385
usercpu_time_millis_training
290.5491709971102
usercpu_time_millis_training
291.6796540012001
usercpu_time_millis_training
283.5232920042472
usercpu_time_millis_training
287.955168998451
usercpu_time_millis_training
286.8880120004178
usercpu_time_millis_training
290.7421100026113
wall_clock_time_millis
422.24764823913574
wall_clock_time_millis
312.5770092010498
wall_clock_time_millis
308.95400047302246
wall_clock_time_millis
352.91552543640137
wall_clock_time_millis
317.17872619628906
wall_clock_time_millis
538.6538505554199
wall_clock_time_millis
309.82494354248047
wall_clock_time_millis
363.1739616394043
wall_clock_time_millis
361.4475727081299
wall_clock_time_millis
365.0383949279785
wall_clock_time_millis_testing
58.53891372680664
wall_clock_time_millis_testing
26.17502212524414
wall_clock_time_millis_testing
26.30019187927246
wall_clock_time_millis_testing
26.622772216796875
wall_clock_time_millis_testing
26.56388282775879
wall_clock_time_millis_testing
26.934146881103516
wall_clock_time_millis_testing
26.265621185302734
wall_clock_time_millis_testing
27.194499969482422
wall_clock_time_millis_testing
26.532649993896484
wall_clock_time_millis_testing
26.270627975463867
wall_clock_time_millis_training
363.7087345123291
wall_clock_time_millis_training
286.40198707580566
wall_clock_time_millis_training
282.65380859375
wall_clock_time_millis_training
326.2927532196045
wall_clock_time_millis_training
290.6148433685303
wall_clock_time_millis_training
511.7197036743164
wall_clock_time_millis_training
283.55932235717773
wall_clock_time_millis_training
335.9794616699219
wall_clock_time_millis_training
334.9149227142334
wall_clock_time_millis_training
338.76776695251465