10327037
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)
8182705
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
0.655523576885994
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.5042146248891441
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.004535572329647122
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
7900
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
21575760
description
https://api.openml.org/data/download/21575760/description.xml
-1
21575761
predictions
https://api.openml.org/data/download/21575761/predictions.arff
area_under_roc_curve
0.9797222222222222 [0.986667,0.989167,0.989167,0.9725,0.986111,0.958056,0.983889,0.983056,0.975833,0.972778]
average_cost
0
f_measure
0.9635466372648236 [0.979899,0.945107,0.982456,0.952381,0.975,0.941176,0.974874,0.967581,0.962217,0.954774]
kappa
0.9594444444444444
kb_relative_information_score
0.9618298515945366
mean_absolute_error
0.00729999999999999
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9641118567647501 [0.984848,0.90411,0.984925,0.954774,0.975,0.963351,0.979798,0.965174,0.969543,0.959596]
predictive_accuracy
0.9634999999999999
prior_entropy
3.3219280948872383
recall
0.9635 [0.975,0.99,0.98,0.95,0.975,0.92,0.97,0.97,0.955,0.95]
relative_absolute_error
0.04055555555555425
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.08544003745317526
root_relative_squared_error
0.28480012484391315
total_cost
0
area_under_roc_curve
0.9750000000000001 [0.972222,0.991667,1,0.947222,1,0.975,0.972222,0.997222,0.894444,1]
area_under_roc_curve
0.9777777777777777 [1,0.972222,1,0.972222,0.975,0.944444,0.969444,0.972222,1,0.972222]
area_under_roc_curve
0.9861111111111112 [1,0.997222,0.994444,0.975,1,0.972222,1,0.95,1,0.972222]
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
0.9638888888888887 [0.997222,0.994444,0.925,0.944444,0.969444,0.947222,0.975,0.944444,0.972222,0.969444]
area_under_roc_curve
0.9833333333333334 [0.997222,0.969444,1,0.975,0.975,0.95,1,0.997222,0.997222,0.972222]
area_under_roc_curve
0.9833333333333334 [0.975,0.991667,0.975,0.997222,1,0.947222,1,0.997222,0.975,0.975]
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
0.975 [1,0.991667,1,0.969444,0.975,0.947222,0.947222,0.975,0.972222,0.972222]
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
0.9545383474830887 [0.95,0.930233,1,0.923077,1,0.974359,0.95,0.97561,0.842105,1]
f_measure
0.9601188242651658 [1,0.95,1,0.95,0.974359,0.9,0.926829,0.95,1,0.95]
f_measure
0.9749718103890119 [1,0.97561,0.952381,0.974359,1,0.95,1,0.947368,1,0.95]
f_measure
0.9753278211672993 [0.974359,0.930233,0.97561,0.974359,0.974359,0.974359,1,1,1,0.95]
f_measure
0.9348004061418694 [0.97561,0.952381,0.918919,0.9,0.926829,0.923077,0.974359,0.9,0.95,0.926829]
f_measure
0.9699744906355946 [0.97561,0.926829,1,0.974359,0.974359,0.947368,1,0.97561,0.97561,0.95]
f_measure
0.9701964890847475 [0.974359,0.930233,0.974359,0.97561,1,0.923077,1,0.97561,0.974359,0.974359]
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
0.9551933621304012 [1,0.930233,1,0.926829,0.974359,0.923077,0.923077,0.974359,0.95,0.95]
kappa
0.95
kappa
0.9555555555555555
kappa
0.9722222222222222
kappa
0.9722222222222222
kappa
0.9277777777777778
kappa
0.9666666666666667
kappa
0.9666666666666667
kappa
0.9722222222222222
kappa
0.961111111111111
kappa
0.95
kb_relative_information_score
0.9529409129247703
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9320257631135571
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9529409129247703
mean_absolute_error
0.009
mean_absolute_error
0.008
mean_absolute_error
0.005
mean_absolute_error
0.005
mean_absolute_error
0.013000000000000001
mean_absolute_error
0.006
mean_absolute_error
0.006
mean_absolute_error
0.005
mean_absolute_error
0.006999999999999999
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
0.9558203479713776 [0.95,0.869565,1,0.947368,1,1,0.95,0.952381,0.888889,1]
precision
0.9604761904761905 [1,0.95,1,0.95,1,0.9,0.904762,0.95,1,0.95]
precision
0.9761471861471861 [1,0.952381,0.909091,1,1,0.95,1,1,1,0.95]
precision
0.9771946169772256 [1,0.869565,0.952381,1,1,1,1,1,1,0.95]
precision
0.9368364092048302 [0.952381,0.909091,1,0.9,0.904762,0.947368,1,0.9,0.95,0.904762]
precision
0.971190476190476 [0.952381,0.904762,1,1,1,1,1,0.952381,0.952381,0.95]
precision
0.9721695543205839 [1,0.869565,1,0.952381,1,0.947368,1,0.952381,1,1]
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
0.9569063964258473 [1,0.869565,1,0.904762,1,0.947368,0.947368,1,0.95,0.95]
predictive_accuracy
0.955
predictive_accuracy
0.96
predictive_accuracy
0.975
predictive_accuracy
0.975
predictive_accuracy
0.935
predictive_accuracy
0.97
predictive_accuracy
0.97
predictive_accuracy
0.975
predictive_accuracy
0.965
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
0.955 [0.95,1,1,0.9,1,0.95,0.95,1,0.8,1]
recall
0.96 [1,0.95,1,0.95,0.95,0.9,0.95,0.95,1,0.95]
recall
0.975 [1,1,1,0.95,1,0.95,1,0.9,1,0.95]
recall
0.975 [0.95,1,1,0.95,0.95,0.95,1,1,1,0.95]
recall
0.935 [1,1,0.85,0.9,0.95,0.9,0.95,0.9,0.95,0.95]
recall
0.97 [1,0.95,1,0.95,0.95,0.9,1,1,1,0.95]
recall
0.97 [0.95,1,0.95,1,1,0.9,1,1,0.95,0.95]
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
0.955 [1,1,1,0.95,0.95,0.9,0.9,0.95,0.95,0.95]
relative_absolute_error
0.05000000000000005
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.0722222222222223
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.03888888888888893
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
0.09486832980505137
root_mean_squared_error
0.08944271909999159
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.1140175425099138
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.09486832980505137
root_relative_squared_error
0.31622776601683816
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.3800584750330463
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.27888667551135865
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
348.6067399935564
usercpu_time_millis
354.13571699609747
usercpu_time_millis
351.97648899338674
usercpu_time_millis
350.62175300117815
usercpu_time_millis
356.16330100310734
usercpu_time_millis
359.2970099998638
usercpu_time_millis
354.5582850056235
usercpu_time_millis
352.56559000117704
usercpu_time_millis
360.59238700545393
usercpu_time_millis
351.5280499996152
usercpu_time_millis_testing
35.78696599288378
usercpu_time_millis_testing
36.1035850000917
usercpu_time_millis_testing
36.0041280000587
usercpu_time_millis_testing
35.92584300349699
usercpu_time_millis_testing
38.01042400300503
usercpu_time_millis_testing
35.94761000567814
usercpu_time_millis_testing
35.80161200079601
usercpu_time_millis_testing
35.99091700016288
usercpu_time_millis_testing
38.64335500111338
usercpu_time_millis_testing
36.088863998884335
usercpu_time_millis_training
312.8197740006726
usercpu_time_millis_training
318.0321319960058
usercpu_time_millis_training
315.97236099332804
usercpu_time_millis_training
314.69590999768116
usercpu_time_millis_training
318.1528770001023
usercpu_time_millis_training
323.34939999418566
usercpu_time_millis_training
318.75667300482746
usercpu_time_millis_training
316.57467300101416
usercpu_time_millis_training
321.94903200434055
usercpu_time_millis_training
315.43918600073084
wall_clock_time_millis
380.6495666503906
wall_clock_time_millis
354.189395904541
wall_clock_time_millis
352.0183563232422
wall_clock_time_millis
350.66676139831543
wall_clock_time_millis
356.2018871307373
wall_clock_time_millis
359.33923721313477
wall_clock_time_millis
354.6028137207031
wall_clock_time_millis
352.61082649230957
wall_clock_time_millis
360.63098907470703
wall_clock_time_millis
351.56989097595215
wall_clock_time_millis_testing
35.800933837890625
wall_clock_time_millis_testing
36.13138198852539
wall_clock_time_millis_testing
36.01837158203125
wall_clock_time_millis_testing
35.94088554382324
wall_clock_time_millis_testing
38.0246639251709
wall_clock_time_millis_testing
35.96138954162598
wall_clock_time_millis_testing
35.81595420837402
wall_clock_time_millis_testing
36.006927490234375
wall_clock_time_millis_testing
38.65814208984375
wall_clock_time_millis_testing
36.1027717590332
wall_clock_time_millis_training
344.8486328125
wall_clock_time_millis_training
318.0580139160156
wall_clock_time_millis_training
315.99998474121094
wall_clock_time_millis_training
314.7258758544922
wall_clock_time_millis_training
318.1772232055664
wall_clock_time_millis_training
323.3778476715088
wall_clock_time_millis_training
318.7868595123291
wall_clock_time_millis_training
316.6038990020752
wall_clock_time_millis_training
321.9728469848633
wall_clock_time_millis_training
315.46711921691895