10559041
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)
8275916
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
0.1
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
10000
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"lbfgs"
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
22043046
description
https://api.openml.org/data/download/22043046/description.xml
-1
22043047
predictions
https://api.openml.org/data/download/22043047/predictions.arff
area_under_roc_curve
0.994411111111111 [0.996725,0.995578,0.999758,0.988403,0.998636,0.986944,0.996706,0.999081,0.986908,0.995372]
average_cost
0
f_measure
0.9655238952623167 [0.982544,0.943489,0.987531,0.962406,0.969849,0.947103,0.972292,0.975,0.962406,0.952618]
kappa
0.9616666666666667
kb_relative_information_score
0.9384475396623908
mean_absolute_error
0.019918606084263633
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.9655 [0.985,0.96,0.99,0.96,0.965,0.94,0.965,0.975,0.96,0.955]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9656364985693965 [0.9801,0.927536,0.985075,0.964824,0.974747,0.954315,0.979695,0.975,0.964824,0.950249]
predictive_accuracy
0.9655
prior_entropy
3.3219280948872383
relative_absolute_error
0.1106589226903501
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.08072954413023693
root_relative_squared_error
0.269098480434119
total_cost
0
unweighted_recall
0.9654999999999999 [0.985,0.96,0.99,0.96,0.965,0.94,0.965,0.975,0.96,0.955]
area_under_roc_curve
0.99175 [0.996667,0.998611,1,1,1,0.968056,0.998611,1,0.955556,1]
area_under_roc_curve
0.9967777777777778 [1,0.97,1,1,1,0.999167,0.999444,0.999722,1,0.999444]
area_under_roc_curve
0.9977222222222223 [1,1,0.999444,0.997778,1,0.988333,1,0.994722,1,0.996944]
area_under_roc_curve
0.9898333333333332 [0.998611,1,1,0.950833,0.990556,0.978889,1,1,1,0.979444]
area_under_roc_curve
0.9914166666666666 [1,0.998056,0.999722,0.977222,1,0.995556,0.999444,1,0.952778,0.991389]
area_under_roc_curve
0.9978333333333333 [0.999167,0.995556,1,0.998333,0.998056,0.996667,1,1,0.998611,0.991944]
area_under_roc_curve
0.9957222222222222 [0.973056,0.997222,0.999444,0.998889,1,0.998611,1,0.998333,0.991667,1]
area_under_roc_curve
0.9935833333333332 [1,0.9975,1,1,0.999167,0.968611,1,1,0.970833,0.999722]
area_under_roc_curve
0.9935833333333332 [1,0.999722,1,0.960556,1,0.975556,1,1,1,1]
area_under_roc_curve
0.9964166666666668 [1,1,1,0.999444,1,1,0.972222,1,0.997222,0.995278]
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
0.9698655409631018 [0.95,0.95,1,0.97561,1,0.95,0.974359,1,0.923077,0.97561]
f_measure
0.9602631330538307 [1,0.904762,1,0.974359,0.918919,0.930233,0.95,0.974359,1,0.95]
f_measure
0.9750906346541777 [0.97561,1,0.952381,0.974359,1,0.974359,1,0.947368,1,0.926829]
f_measure
0.9698525394160824 [0.974359,0.97561,0.97561,0.95,0.974359,0.947368,0.97561,1,0.97561,0.95]
f_measure
0.950071410910889 [0.97561,0.930233,0.974359,0.9,1,0.923077,0.95,0.974359,0.923077,0.95]
f_measure
0.9599525549332993 [0.97561,0.926829,1,0.974359,0.947368,0.947368,1,0.952381,0.97561,0.9]
f_measure
0.9652166532654337 [0.974359,0.9,0.974359,0.97561,0.952381,0.974359,1,0.952381,0.974359,0.974359]
f_measure
0.9649333311900108 [1,0.947368,1,0.97561,0.930233,0.923077,0.974359,1,0.923077,0.97561]
f_measure
0.975115697310819 [1,0.95,1,0.95,1,0.926829,0.974359,0.97561,1,0.974359]
f_measure
0.9650973822925042 [1,0.952381,1,0.974359,0.974359,0.97561,0.923077,0.974359,0.926829,0.95]
kappa
0.9666666666666667
kappa
0.9555555555555555
kappa
0.9722222222222222
kappa
0.9666666666666667
kappa
0.9444444444444444
kappa
0.9555555555555555
kappa
0.961111111111111
kappa
0.961111111111111
kappa
0.9722222222222222
kappa
0.961111111111111
kb_relative_information_score
0.9345431389785341
kb_relative_information_score
0.9448205138058856
kb_relative_information_score
0.9447127809721663
kb_relative_information_score
0.9475256084465866
kb_relative_information_score
0.9253168714412449
kb_relative_information_score
0.9285441303036422
kb_relative_information_score
0.9346008057875921
kb_relative_information_score
0.9335348445412321
kb_relative_information_score
0.9512563187733392
kb_relative_information_score
0.9396203835733721
mean_absolute_error
0.020857031708909905
mean_absolute_error
0.01888238819019985
mean_absolute_error
0.018575723852874978
mean_absolute_error
0.015954185872086805
mean_absolute_error
0.022639770192567927
mean_absolute_error
0.02221206895098328
mean_absolute_error
0.02122196172788195
mean_absolute_error
0.02148425005281803
mean_absolute_error
0.01713203280638744
mean_absolute_error
0.02022664748792611
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
0.9702130325814535 [0.95,0.95,1,0.952381,1,0.95,1,1,0.947368,0.952381]
precision
0.9633201581027668 [1,0.863636,1,1,1,0.869565,0.95,1,1,0.95]
precision
0.9766233766233766 [0.952381,1,0.909091,1,1,1,1,1,1,0.904762]
precision
0.9709523809523809 [1,0.952381,0.952381,0.95,1,1,0.952381,1,0.952381,0.95]
precision
0.9516683011877519 [0.952381,0.869565,1,0.9,1,0.947368,0.95,1,0.947368,0.95]
precision
0.9618614718614719 [0.952381,0.904762,1,1,1,1,1,0.909091,0.952381,0.9]
precision
0.9670562770562771 [1,0.9,1,0.952381,0.909091,1,1,0.909091,1,1]
precision
0.9669063964258471 [1,1,1,0.952381,0.869565,0.947368,1,1,0.947368,0.952381]
precision
0.9757142857142856 [1,0.95,1,0.95,1,0.904762,1,0.952381,1,1]
precision
0.96636021872864 [1,0.909091,1,1,1,0.952381,0.947368,1,0.904762,0.95]
predictive_accuracy
0.97
predictive_accuracy
0.96
predictive_accuracy
0.975
predictive_accuracy
0.97
predictive_accuracy
0.95
predictive_accuracy
0.96
predictive_accuracy
0.965
predictive_accuracy
0.965
predictive_accuracy
0.975
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
relative_absolute_error
0.11587239838283292
relative_absolute_error
0.1049021566122215
relative_absolute_error
0.10319846584930553
relative_absolute_error
0.08863436595603791
relative_absolute_error
0.12577650106982197
relative_absolute_error
0.12340038306101836
relative_absolute_error
0.11789978737712208
relative_absolute_error
0.11935694473787808
relative_absolute_error
0.0951779600354859
relative_absolute_error
0.11237026382181185
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
0.08333015234247643
root_mean_squared_error
0.07686524162833384
root_mean_squared_error
0.07350479366304095
root_mean_squared_error
0.07121095313301046
root_mean_squared_error
0.0939913282976231
root_mean_squared_error
0.08926697804758321
root_mean_squared_error
0.08316516831644348
root_mean_squared_error
0.08307620771530978
root_mean_squared_error
0.0685773815421492
root_mean_squared_error
0.08076222398907591
root_relative_squared_error
0.2777671744749216
root_relative_squared_error
0.25621747209444634
root_relative_squared_error
0.24501597887680332
root_relative_squared_error
0.23736984377670167
root_relative_squared_error
0.3133044276587439
root_relative_squared_error
0.2975565934919442
root_relative_squared_error
0.27721722772147844
root_relative_squared_error
0.2769206923843661
root_relative_squared_error
0.2285912718071641
root_relative_squared_error
0.26920741329691983
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
0.9700000000000001 [0.95,0.95,1,1,1,0.95,0.95,1,0.9,1]
unweighted_recall
0.96 [1,0.95,1,0.95,0.85,1,0.95,0.95,1,0.95]
unweighted_recall
0.975 [1,1,1,0.95,1,0.95,1,0.9,1,0.95]
unweighted_recall
0.97 [0.95,1,1,0.95,0.95,0.9,1,1,1,0.95]
unweighted_recall
0.95 [1,1,0.95,0.9,1,0.9,0.95,0.95,0.9,0.95]
unweighted_recall
0.9600000000000002 [1,0.95,1,0.95,0.9,0.9,1,1,1,0.9]
unweighted_recall
0.9649999999999999 [0.95,0.9,0.95,1,1,0.95,1,1,0.95,0.95]
unweighted_recall
0.9650000000000001 [1,0.9,1,1,1,0.9,0.95,1,0.9,1]
unweighted_recall
0.975 [1,0.95,1,0.95,1,0.95,0.95,1,1,0.95]
unweighted_recall
0.9650000000000001 [1,1,1,0.95,0.95,1,0.9,0.95,0.95,0.95]
usercpu_time_millis
1159.11000000051
usercpu_time_millis
1248.2920000002196
usercpu_time_millis
1197.996000002604
usercpu_time_millis
1224.1240000003017
usercpu_time_millis
1224.9379999957455
usercpu_time_millis
1214.4079999998212
usercpu_time_millis
1215.1519999970333
usercpu_time_millis
1240.3059999996913
usercpu_time_millis
1233.5559999992256
usercpu_time_millis
1227.2720000000845
usercpu_time_millis_testing
3.6279999985708855
usercpu_time_millis_testing
4.122000002098503
usercpu_time_millis_testing
3.678000000945758
usercpu_time_millis_testing
4.093999999895459
usercpu_time_millis_testing
3.6719999989145435
usercpu_time_millis_testing
2.7300000001559965
usercpu_time_millis_testing
3.6499999987427145
usercpu_time_millis_testing
3.7479999991774093
usercpu_time_millis_testing
3.798000001552282
usercpu_time_millis_testing
3.683999999338994
usercpu_time_millis_training
1155.482000001939
usercpu_time_millis_training
1244.169999998121
usercpu_time_millis_training
1194.3180000016582
usercpu_time_millis_training
1220.0300000004063
usercpu_time_millis_training
1221.265999996831
usercpu_time_millis_training
1211.6779999996652
usercpu_time_millis_training
1211.5019999982906
usercpu_time_millis_training
1236.5580000005139
usercpu_time_millis_training
1229.7579999976733
usercpu_time_millis_training
1223.5880000007455
wall_clock_time_millis
324.7697353363037
wall_clock_time_millis
317.3713684082031
wall_clock_time_millis
326.36094093322754
wall_clock_time_millis
317.1710968017578
wall_clock_time_millis
313.1299018859863
wall_clock_time_millis
317.52896308898926
wall_clock_time_millis
311.95783615112305
wall_clock_time_millis
320.9049701690674
wall_clock_time_millis
318.2368278503418
wall_clock_time_millis
318.88437271118164
wall_clock_time_millis_testing
0.9307861328125
wall_clock_time_millis_testing
1.0371208190917969
wall_clock_time_millis_testing
0.9291172027587891
wall_clock_time_millis_testing
1.032114028930664
wall_clock_time_millis_testing
0.9248256683349609
wall_clock_time_millis_testing
1.46484375
wall_clock_time_millis_testing
0.9219646453857422
wall_clock_time_millis_testing
0.9491443634033203
wall_clock_time_millis_testing
0.9768009185791016
wall_clock_time_millis_testing
0.9362697601318359
wall_clock_time_millis_training
323.8389492034912
wall_clock_time_millis_training
316.3342475891113
wall_clock_time_millis_training
325.43182373046875
wall_clock_time_millis_training
316.13898277282715
wall_clock_time_millis_training
312.20507621765137
wall_clock_time_millis_training
316.06411933898926
wall_clock_time_millis_training
311.0358715057373
wall_clock_time_millis_training
319.95582580566406
wall_clock_time_millis_training
317.2600269317627
wall_clock_time_millis_training
317.9481029510498
weighted_recall
0.97 [0.95,0.95,1,1,1,0.95,0.95,1,0.9,1]
weighted_recall
0.96 [1,0.95,1,0.95,0.85,1,0.95,0.95,1,0.95]
weighted_recall
0.975 [1,1,1,0.95,1,0.95,1,0.9,1,0.95]
weighted_recall
0.97 [0.95,1,1,0.95,0.95,0.9,1,1,1,0.95]
weighted_recall
0.95 [1,1,0.95,0.9,1,0.9,0.95,0.95,0.9,0.95]
weighted_recall
0.96 [1,0.95,1,0.95,0.9,0.9,1,1,1,0.9]
weighted_recall
0.965 [0.95,0.9,0.95,1,1,0.95,1,1,0.95,0.95]
weighted_recall
0.965 [1,0.9,1,1,1,0.9,0.95,1,0.9,1]
weighted_recall
0.975 [1,0.95,1,0.95,1,0.95,0.95,1,1,0.95]
weighted_recall
0.965 [1,1,1,0.95,0.95,1,0.9,0.95,0.95,0.95]