10559039
8323
Heinrich Peters
146824
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275913
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
C
1.0229391816
17462
class_weight
null
17462
dual
true
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
309
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18591
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": "logisticregression", "step_name": "logisticregression"}}]
18591
verbose
false
18591
openml-python
Sklearn_0.21.2.
40979
mfeat-pixel
https://www.openml.org/data/download/18142224/phpzRUhOO
-1
22043042
description
https://api.openml.org/data/download/22043042/description.xml
-1
22043043
predictions
https://api.openml.org/data/download/22043043/predictions.arff
area_under_roc_curve
0.9918127777777777 [0.997903,0.994486,0.998186,0.985742,0.995681,0.979489,0.994625,0.998372,0.981697,0.991947]
average_cost
0
f_measure
0.9524653980077826 [0.975124,0.931707,0.98,0.945274,0.96,0.933333,0.952381,0.967742,0.939698,0.939394]
kappa
0.9472222222222222
kb_relative_information_score
0.9115694121968292
mean_absolute_error
0.028056956012303586
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.9525 [0.98,0.955,0.98,0.95,0.96,0.91,0.95,0.975,0.935,0.93]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9527098674107665 [0.970297,0.909524,0.98,0.940594,0.96,0.957895,0.954774,0.960591,0.944444,0.94898]
predictive_accuracy
0.9525
prior_entropy
3.3219280948872383
relative_absolute_error
0.15587197784612622
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.09823370271446222
root_relative_squared_error
0.32744567571486904
total_cost
0
unweighted_recall
0.9525 [0.98,0.955,0.98,0.95,0.96,0.91,0.95,0.975,0.935,0.93]
area_under_roc_curve
0.9918611111111111 [0.998056,0.999444,1,0.998333,1,0.978611,0.993056,1,0.951111,1]
area_under_roc_curve
0.9943888888888889 [1,0.961111,1,1,0.999722,0.993611,0.993889,0.998333,0.999444,0.997778]
area_under_roc_curve
0.9936944444444444 [1,1,0.999167,0.988889,0.999722,0.964167,1,0.989167,1,0.995833]
area_under_roc_curve
0.9851666666666666 [0.9975,1,1,0.950556,0.965278,0.959444,1,1,0.998611,0.980278]
area_under_roc_curve
0.9873333333333334 [1,0.998333,0.997778,0.981944,0.999722,0.984167,0.998889,0.999722,0.932778,0.98]
area_under_roc_curve
0.9954722222222222 [0.999444,0.998889,1,0.996667,0.9975,0.988056,0.999722,1,0.994722,0.979722]
area_under_roc_curve
0.9941111111111112 [0.987222,0.994722,0.986389,0.999722,0.999722,0.9975,1,0.996667,0.979444,0.999722]
area_under_roc_curve
0.99175 [1,0.994722,1,1,0.998611,0.959722,0.999444,1,0.965278,0.999722]
area_under_roc_curve
0.9903333333333333 [1,0.998889,1,0.9475,1,0.963889,1,1,0.993611,0.999444]
area_under_roc_curve
0.9933055555555557 [1,0.999444,1,0.995556,1,0.998333,0.959722,0.998611,0.9925,0.988889]
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
0.9596466446273892 [0.926829,0.952381,1,0.952381,0.97561,0.947368,0.947368,1,0.918919,0.97561]
f_measure
0.9500995688094532 [0.97561,0.9,1,1,0.947368,0.9,0.926829,0.974359,0.95,0.926829]
f_measure
0.9698337306681337 [0.97561,1,0.952381,0.95,0.97561,0.947368,1,0.947368,1,0.95]
f_measure
0.9599088937971524 [0.974359,0.97561,0.97561,0.974359,0.95,0.918919,0.930233,1,0.95,0.95]
f_measure
0.945489091567397 [0.97561,0.909091,0.947368,0.878049,0.974359,0.947368,0.97561,0.974359,0.923077,0.95]
f_measure
0.938650002115984 [0.97561,0.952381,0.97561,0.947368,0.923077,0.9,0.974359,0.952381,0.952381,0.833333]
f_measure
0.9500884481372285 [0.974359,0.85,0.974359,0.95,0.952381,0.974359,0.97561,0.952381,0.923077,0.974359]
f_measure
0.9551125703564728 [0.974359,0.9,0.974359,1,0.95,0.974359,0.97561,0.97561,0.9,0.926829]
f_measure
0.9502669803353446 [1,0.923077,1,0.883721,0.97561,0.871795,0.974359,0.952381,0.974359,0.947368]
f_measure
0.9440293040293041 [1,0.952381,1,0.923077,0.974359,0.952381,0.833333,0.95,0.904762,0.95]
kappa
0.9555555555555555
kappa
0.9444444444444444
kappa
0.9666666666666667
kappa
0.9555555555555555
kappa
0.9388888888888889
kappa
0.9333333333333332
kappa
0.9444444444444444
kappa
0.95
kappa
0.9444444444444444
kappa
0.9388888888888889
kb_relative_information_score
0.9073055724951893
kb_relative_information_score
0.9135431118171988
kb_relative_information_score
0.9220206035075031
kb_relative_information_score
0.9287704891603384
kb_relative_information_score
0.8977981391180991
kb_relative_information_score
0.8983391533445314
kb_relative_information_score
0.9057132396333207
kb_relative_information_score
0.9104659797857938
kb_relative_information_score
0.9233708733497763
kb_relative_information_score
0.908366959756212
mean_absolute_error
0.02901094986197665
mean_absolute_error
0.027396185398817417
mean_absolute_error
0.025967611010703714
mean_absolute_error
0.0215346499442096
mean_absolute_error
0.030715879655090386
mean_absolute_error
0.032001391899586
mean_absolute_error
0.029920680830056598
mean_absolute_error
0.02860642390323837
mean_absolute_error
0.02560532616528278
mean_absolute_error
0.029810461454074396
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
0.9627705627705626 [0.904762,0.909091,1,0.909091,0.952381,1,1,1,1,0.952381]
precision
0.9511904761904763 [0.952381,0.9,1,1,1,0.9,0.904762,1,0.95,0.904762]
precision
0.9713852813852814 [0.952381,1,0.909091,0.95,0.952381,1,1,1,1,0.95]
precision
0.962432712215321 [1,0.952381,0.952381,1,0.95,1,0.869565,1,0.95,0.95]
precision
0.9492606516290727 [0.952381,0.833333,1,0.857143,1,1,0.952381,1,0.947368,0.95]
precision
0.9416903053087264 [0.952381,0.909091,0.952381,1,0.947368,0.9,1,0.909091,0.909091,0.9375]
precision
0.9517931191615402 [1,0.85,1,0.95,0.909091,1,0.952381,0.909091,0.947368,1]
precision
0.9559523809523809 [1,0.9,1,1,0.95,1,0.952381,0.952381,0.9,0.904762]
precision
0.9529664081151494 [1,0.947368,1,0.826087,0.952381,0.894737,1,0.909091,1,1]
precision
0.9466686602870814 [1,0.909091,1,0.947368,1,0.909091,0.9375,0.95,0.863636,0.95]
predictive_accuracy
0.96
predictive_accuracy
0.95
predictive_accuracy
0.97
predictive_accuracy
0.96
predictive_accuracy
0.945
predictive_accuracy
0.94
predictive_accuracy
0.95
predictive_accuracy
0.955
predictive_accuracy
0.95
predictive_accuracy
0.945
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
relative_absolute_error
0.16117194367764826
relative_absolute_error
0.15220102999343027
relative_absolute_error
0.1442645056150208
relative_absolute_error
0.11963694413449791
relative_absolute_error
0.17064377586161344
relative_absolute_error
0.17778551055325575
relative_absolute_error
0.16622600461142575
relative_absolute_error
0.15892457724021333
relative_absolute_error
0.14225181202934892
relative_absolute_error
0.16561367474485794
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
0.09685574811378377
root_mean_squared_error
0.09928447707032369
root_mean_squared_error
0.08932780187280144
root_mean_squared_error
0.08404718943139235
root_mean_squared_error
0.10943417239852324
root_mean_squared_error
0.10889978424171833
root_mean_squared_error
0.10257633437248768
root_mean_squared_error
0.09649656446675857
root_mean_squared_error
0.09120160326206052
root_mean_squared_error
0.10114617669583785
root_relative_squared_error
0.3228524937126127
root_relative_squared_error
0.33094825690107915
root_relative_squared_error
0.297759339576005
root_relative_squared_error
0.28015729810464135
root_relative_squared_error
0.36478057466174435
root_relative_squared_error
0.36299928080572796
root_relative_squared_error
0.3419211145749592
root_relative_squared_error
0.32165521488919546
root_relative_squared_error
0.3040053442068686
root_relative_squared_error
0.3371539223194597
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
unweighted_recall
0.9600000000000002 [0.95,1,1,1,1,0.9,0.9,1,0.85,1]
unweighted_recall
0.95 [1,0.9,1,1,0.9,0.9,0.95,0.95,0.95,0.95]
unweighted_recall
0.97 [1,1,1,0.95,1,0.9,1,0.9,1,0.95]
unweighted_recall
0.96 [0.95,1,1,0.95,0.95,0.85,1,1,0.95,0.95]
unweighted_recall
0.945 [1,1,0.9,0.9,0.95,0.9,1,0.95,0.9,0.95]
unweighted_recall
0.9400000000000001 [1,1,1,0.9,0.9,0.9,0.95,1,1,0.75]
unweighted_recall
0.95 [0.95,0.85,0.95,0.95,1,0.95,1,1,0.9,0.95]
unweighted_recall
0.9549999999999998 [0.95,0.9,0.95,1,0.95,0.95,1,1,0.9,0.95]
unweighted_recall
0.95 [1,0.9,1,0.95,1,0.85,0.95,1,0.95,0.9]
unweighted_recall
0.945 [1,1,1,0.9,0.95,1,0.75,0.95,0.95,0.95]
usercpu_time_millis
4684.909999999945
usercpu_time_millis
4487.492000000202
usercpu_time_millis
5007.958000001963
usercpu_time_millis
4516.616000000795
usercpu_time_millis
4736.622000000352
usercpu_time_millis
4721.671999996033
usercpu_time_millis
4935.001999998349
usercpu_time_millis
5006.956000001082
usercpu_time_millis
4896.32999999958
usercpu_time_millis
4608.5539999985485
usercpu_time_millis_testing
2.260000001115259
usercpu_time_millis_testing
2.322000000276603
usercpu_time_millis_testing
2.3240000009536743
usercpu_time_millis_testing
2.351999999518739
usercpu_time_millis_testing
2.373999999690568
usercpu_time_millis_testing
3.0579999984183814
usercpu_time_millis_testing
2.2979999994277023
usercpu_time_millis_testing
2.351999999518739
usercpu_time_millis_testing
2.1159999996598344
usercpu_time_millis_testing
2.4300000004586764
usercpu_time_millis_training
4682.64999999883
usercpu_time_millis_training
4485.1699999999255
usercpu_time_millis_training
5005.63400000101
usercpu_time_millis_training
4514.264000001276
usercpu_time_millis_training
4734.248000000662
usercpu_time_millis_training
4718.613999997615
usercpu_time_millis_training
4932.703999998921
usercpu_time_millis_training
5004.604000001564
usercpu_time_millis_training
4894.21399999992
usercpu_time_millis_training
4606.12399999809
wall_clock_time_millis
2363.66868019104
wall_clock_time_millis
2176.9967079162598
wall_clock_time_millis
2460.9999656677246
wall_clock_time_millis
2199.657917022705
wall_clock_time_millis
2322.570562362671
wall_clock_time_millis
2339.303970336914
wall_clock_time_millis
2406.8450927734375
wall_clock_time_millis
2961.6129398345947
wall_clock_time_millis
2385.539770126343
wall_clock_time_millis
2245.896816253662
wall_clock_time_millis_testing
1.0499954223632812
wall_clock_time_millis_testing
1.0898113250732422
wall_clock_time_millis_testing
1.0838508605957031
wall_clock_time_millis_testing
1.1000633239746094
wall_clock_time_millis_testing
1.100778579711914
wall_clock_time_millis_testing
1.447916030883789
wall_clock_time_millis_testing
1.0700225830078125
wall_clock_time_millis_testing
1.1019706726074219
wall_clock_time_millis_testing
0.9808540344238281
wall_clock_time_millis_testing
1.1730194091796875
wall_clock_time_millis_training
2362.6186847686768
wall_clock_time_millis_training
2175.9068965911865
wall_clock_time_millis_training
2459.916114807129
wall_clock_time_millis_training
2198.5578536987305
wall_clock_time_millis_training
2321.469783782959
wall_clock_time_millis_training
2337.8560543060303
wall_clock_time_millis_training
2405.7750701904297
wall_clock_time_millis_training
2960.5109691619873
wall_clock_time_millis_training
2384.558916091919
wall_clock_time_millis_training
2244.7237968444824
weighted_recall
0.96 [0.95,1,1,1,1,0.9,0.9,1,0.85,1]
weighted_recall
0.95 [1,0.9,1,1,0.9,0.9,0.95,0.95,0.95,0.95]
weighted_recall
0.97 [1,1,1,0.95,1,0.9,1,0.9,1,0.95]
weighted_recall
0.96 [0.95,1,1,0.95,0.95,0.85,1,1,0.95,0.95]
weighted_recall
0.945 [1,1,0.9,0.9,0.95,0.9,1,0.95,0.9,0.95]
weighted_recall
0.94 [1,1,1,0.9,0.9,0.9,0.95,1,1,0.75]
weighted_recall
0.95 [0.95,0.85,0.95,0.95,1,0.95,1,1,0.9,0.95]
weighted_recall
0.955 [0.95,0.9,0.95,1,0.95,0.95,1,1,0.9,0.95]
weighted_recall
0.95 [1,0.9,1,0.95,1,0.85,0.95,1,0.95,0.9]
weighted_recall
0.945 [1,1,1,0.9,0.95,1,0.75,0.95,0.95,0.95]