10327461
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)
8183128
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
1.5027812857125642
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6143697206439183
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.17254155143241814
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
31717
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
21576608
description
https://api.openml.org/data/download/21576608/description.xml
-1
21576609
predictions
https://api.openml.org/data/download/21576609/predictions.arff
area_under_roc_curve
0.9483333333333331 [0.953889,0.945556,0.9525,0.970278,0.9575,0.9125,0.939722,0.982222,0.899722,0.969444]
average_cost
0
f_measure
0.9150092962543158 [0.715827,0.927461,0.950131,0.952141,0.955614,0.90411,0.933687,0.979695,0.886427,0.945]
kappa
0.8966666666666667
kb_relative_information_score
0.9027445533778607
mean_absolute_error
0.018599999999999995
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.940872968157335 [0.558989,0.962366,1,0.959391,1,1,0.99435,0.994845,0.993789,0.945]
predictive_accuracy
0.907
prior_entropy
3.3219280948872383
recall
0.907 [0.995,0.895,0.905,0.945,0.915,0.825,0.88,0.965,0.8,0.945]
relative_absolute_error
0.10333333333333013
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.13638181696985854
root_relative_squared_error
0.4546060565661882
total_cost
0
area_under_roc_curve
0.9388888888888889 [0.941667,0.897222,0.95,0.975,0.975,0.975,0.9,0.975,0.8,1]
area_under_roc_curve
0.9472222222222223 [0.952778,0.894444,1,0.975,0.95,0.925,0.925,1,0.875,0.975]
area_under_roc_curve
0.9527777777777778 [0.958333,0.9,0.95,0.975,0.975,0.925,1,0.975,0.95,0.919444]
area_under_roc_curve
0.9555555555555557 [0.963889,0.95,1,0.969444,0.95,0.875,0.925,1,0.95,0.972222]
area_under_roc_curve
0.9416666666666668 [0.955556,0.997222,0.925,0.922222,0.95,0.925,0.95,0.947222,0.875,0.969444]
area_under_roc_curve
0.9555555555555557 [0.963889,0.972222,0.95,1,0.975,0.925,0.925,1,0.872222,0.972222]
area_under_roc_curve
0.9472222222222223 [0.930556,0.972222,0.95,0.944444,0.925,0.875,0.975,0.975,0.925,1]
area_under_roc_curve
0.9444444444444444 [0.961111,0.972222,0.925,0.972222,0.95,0.85,0.95,0.975,0.925,0.963889]
area_under_roc_curve
0.9583333333333333 [0.961111,0.925,0.925,0.997222,1,0.875,0.975,1,0.95,0.975]
area_under_roc_curve
0.9416666666666665 [0.95,0.975,0.95,0.972222,0.925,0.975,0.872222,0.975,0.875,0.947222]
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
0.9004295777160316 [0.655738,0.864865,0.947368,0.974359,0.974359,0.974359,0.888889,0.974359,0.75,1]
f_measure
0.9134926713874081 [0.701754,0.842105,1,0.974359,0.947368,0.918919,0.918919,1,0.857143,0.974359]
f_measure
0.9224689172057593 [0.727273,0.888889,0.947368,0.974359,0.974359,0.918919,1,0.974359,0.947368,0.871795]
f_measure
0.9249713288644429 [0.754717,0.947368,1,0.926829,0.947368,0.857143,0.918919,1,0.947368,0.95]
f_measure
0.9024256040944101 [0.714286,0.97561,0.918919,0.894737,0.947368,0.918919,0.947368,0.923077,0.857143,0.926829]
f_measure
0.9247615547714853 [0.754717,0.95,0.947368,1,0.974359,0.918919,0.918919,1,0.833333,0.95]
f_measure
0.9131976155660366 [0.690909,0.95,0.947368,0.9,0.918919,0.857143,0.974359,0.974359,0.918919,1]
f_measure
0.9054924737040079 [0.740741,0.95,0.918919,0.95,0.947368,0.823529,0.947368,0.974359,0.918919,0.883721]
f_measure
0.9307417561589577 [0.740741,0.918919,0.918919,0.97561,1,0.857143,0.974359,1,0.947368,0.974359]
f_measure
0.904257254901538 [0.689655,0.974359,0.947368,0.95,0.918919,0.974359,0.833333,0.974359,0.857143,0.923077]
kappa
0.8777777777777778
kappa
0.8944444444444445
kappa
0.9055555555555556
kappa
0.9111111111111112
kappa
0.8833333333333333
kappa
0.9111111111111112
kappa
0.8944444444444445
kappa
0.888888888888889
kappa
0.9166666666666667
kappa
0.8833333333333333
kb_relative_information_score
0.8849666760383273
kb_relative_information_score
0.9006530383967372
kb_relative_information_score
0.9111106133023438
kb_relative_information_score
0.9163394007551472
kb_relative_information_score
0.8901954634911305
kb_relative_information_score
0.9163394007551472
kb_relative_information_score
0.9006530383967372
kb_relative_information_score
0.895424250943934
kb_relative_information_score
0.9215681882079505
kb_relative_information_score
0.8901954634911305
mean_absolute_error
0.022000000000000006
mean_absolute_error
0.019000000000000006
mean_absolute_error
0.017000000000000005
mean_absolute_error
0.016000000000000004
mean_absolute_error
0.021000000000000005
mean_absolute_error
0.016000000000000004
mean_absolute_error
0.019000000000000006
mean_absolute_error
0.020000000000000004
mean_absolute_error
0.015000000000000003
mean_absolute_error
0.021000000000000005
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
0.9428981348637016 [0.487805,0.941176,1,1,1,1,1,1,1,1]
precision
0.942942942942943 [0.540541,0.888889,1,1,1,1,1,1,1,1]
precision
0.9466165413533836 [0.571429,1,1,1,1,1,1,1,1,0.894737]
precision
0.9460822510822511 [0.606061,1,1,0.904762,1,1,1,1,1,0.95]
precision
0.9304511278195489 [0.555556,0.952381,1,0.944444,1,1,1,0.947368,1,0.904762]
precision
0.9443560606060606 [0.606061,0.95,1,1,1,1,1,1,0.9375,0.95]
precision
0.9392857142857143 [0.542857,0.95,1,0.9,1,1,1,1,1,1]
precision
0.9314322250639385 [0.588235,0.95,1,0.95,1,1,1,1,1,0.826087]
precision
0.95406162464986 [0.588235,1,1,0.952381,1,1,1,1,1,1]
precision
0.9361184210526317 [0.526316,1,1,0.95,1,1,0.9375,1,1,0.947368]
predictive_accuracy
0.89
predictive_accuracy
0.905
predictive_accuracy
0.915
predictive_accuracy
0.92
predictive_accuracy
0.895
predictive_accuracy
0.92
predictive_accuracy
0.905
predictive_accuracy
0.9
predictive_accuracy
0.925
predictive_accuracy
0.895
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
0.89 [1,0.8,0.9,0.95,0.95,0.95,0.8,0.95,0.6,1]
recall
0.905 [1,0.8,1,0.95,0.9,0.85,0.85,1,0.75,0.95]
recall
0.915 [1,0.8,0.9,0.95,0.95,0.85,1,0.95,0.9,0.85]
recall
0.92 [1,0.9,1,0.95,0.9,0.75,0.85,1,0.9,0.95]
recall
0.895 [1,1,0.85,0.85,0.9,0.85,0.9,0.9,0.75,0.95]
recall
0.92 [1,0.95,0.9,1,0.95,0.85,0.85,1,0.75,0.95]
recall
0.905 [0.95,0.95,0.9,0.9,0.85,0.75,0.95,0.95,0.85,1]
recall
0.9 [1,0.95,0.85,0.95,0.9,0.7,0.9,0.95,0.85,0.95]
recall
0.925 [1,0.85,0.85,1,1,0.75,0.95,1,0.9,0.95]
recall
0.895 [1,0.95,0.9,0.95,0.85,0.95,0.75,0.95,0.75,0.9]
relative_absolute_error
0.1222222222222224
relative_absolute_error
0.10555555555555571
relative_absolute_error
0.09444444444444457
relative_absolute_error
0.088888888888889
relative_absolute_error
0.11666666666666682
relative_absolute_error
0.088888888888889
relative_absolute_error
0.10555555555555571
relative_absolute_error
0.11111111111111127
relative_absolute_error
0.08333333333333344
relative_absolute_error
0.11666666666666682
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
0.14832396974191328
root_mean_squared_error
0.13784048752090225
root_mean_squared_error
0.130384048104053
root_mean_squared_error
0.1264911064067352
root_mean_squared_error
0.1449137674618944
root_mean_squared_error
0.1264911064067352
root_mean_squared_error
0.13784048752090225
root_mean_squared_error
0.14142135623730953
root_mean_squared_error
0.12247448713915891
root_mean_squared_error
0.1449137674618944
root_relative_squared_error
0.49441323247304453
root_relative_squared_error
0.4594682917363411
root_relative_squared_error
0.4346134936801769
root_relative_squared_error
0.42163702135578424
root_relative_squared_error
0.48304589153964833
root_relative_squared_error
0.42163702135578424
root_relative_squared_error
0.4594682917363411
root_relative_squared_error
0.47140452079103207
root_relative_squared_error
0.40824829046386335
root_relative_squared_error
0.48304589153964833
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
804.5036339972285
usercpu_time_millis
810.1958090046537
usercpu_time_millis
810.9488319969387
usercpu_time_millis
801.0470879962668
usercpu_time_millis
809.264939998684
usercpu_time_millis
807.4120940000284
usercpu_time_millis
800.4889619987807
usercpu_time_millis
792.3499390017241
usercpu_time_millis
796.894102000806
usercpu_time_millis
802.1803740048199
usercpu_time_millis_testing
36.41546899598325
usercpu_time_millis_testing
36.30570800305577
usercpu_time_millis_testing
36.49734299688134
usercpu_time_millis_testing
36.247065996576566
usercpu_time_millis_testing
36.26491400063969
usercpu_time_millis_testing
36.20230800152058
usercpu_time_millis_testing
35.68889899906935
usercpu_time_millis_testing
35.56843299884349
usercpu_time_millis_testing
36.04518200154416
usercpu_time_millis_testing
36.166265002975706
usercpu_time_millis_training
768.0881650012452
usercpu_time_millis_training
773.8901010015979
usercpu_time_millis_training
774.4514890000573
usercpu_time_millis_training
764.8000219996902
usercpu_time_millis_training
773.0000259980443
usercpu_time_millis_training
771.2097859985079
usercpu_time_millis_training
764.8000629997114
usercpu_time_millis_training
756.7815060028806
usercpu_time_millis_training
760.8489199992619
usercpu_time_millis_training
766.0141090018442
wall_clock_time_millis
804.877758026123
wall_clock_time_millis
810.5618953704834
wall_clock_time_millis
811.3985061645508
wall_clock_time_millis
889.1141414642334
wall_clock_time_millis
809.3376159667969
wall_clock_time_millis
807.5168132781982
wall_clock_time_millis
864.5820617675781
wall_clock_time_millis
792.4346923828125
wall_clock_time_millis
941.0169124603271
wall_clock_time_millis
802.2541999816895
wall_clock_time_millis_testing
36.47613525390625
wall_clock_time_millis_testing
36.319732666015625
wall_clock_time_millis_testing
36.51714324951172
wall_clock_time_millis_testing
36.26084327697754
wall_clock_time_millis_testing
36.27824783325195
wall_clock_time_millis_testing
36.216020584106445
wall_clock_time_millis_testing
35.718441009521484
wall_clock_time_millis_testing
35.5832576751709
wall_clock_time_millis_testing
36.05818748474121
wall_clock_time_millis_testing
36.180973052978516
wall_clock_time_millis_training
768.4016227722168
wall_clock_time_millis_training
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wall_clock_time_millis_training
774.8813629150391
wall_clock_time_millis_training
852.8532981872559
wall_clock_time_millis_training
773.0593681335449
wall_clock_time_millis_training
771.3007926940918
wall_clock_time_millis_training
828.8636207580566
wall_clock_time_millis_training
756.8514347076416
wall_clock_time_millis_training
904.9587249755859
wall_clock_time_millis_training
766.0732269287109