10558049
8323
Heinrich Peters
3903
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275915
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
0.165918932915
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
57
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.
1050
pc3
https://www.openml.org/data/download/53933/pc3.arff
-1
22041058
description
https://api.openml.org/data/download/22041058/description.xml
-1
22041059
predictions
https://api.openml.org/data/download/22041059/predictions.arff
area_under_roc_curve
0.8039825374198147 [0.803983,0.803983]
average_cost
0
f_measure
0.8626928311292822 [0.945219,0.139037]
kappa
0.11281161750240626
kb_relative_information_score
-0.18547723397564522
mean_absolute_error
0.16862579037761066
mean_prior_absolute_error
0.1841804999396983
weighted_recall
0.8969929622520794 [0.990021,0.08125]
number_of_instances
1563 [1403,160]
precision
0.861014429086396 [0.904297,0.481481]
predictive_accuracy
0.8969929622520794
prior_entropy
0.47645699262891783
relative_absolute_error
0.9155463821241645
root_mean_prior_squared_error
0.30313107457396465
root_mean_squared_error
0.28604430336146386
root_relative_squared_error
0.9436323998240188
total_cost
0
unweighted_recall
0.5356356913756236 [0.990021,0.08125]
area_under_roc_curve
0.7788120567375887 [0.778812,0.778812]
area_under_roc_curve
0.886081560283688 [0.886082,0.886082]
area_under_roc_curve
0.8563829787234043 [0.856383,0.856383]
area_under_roc_curve
0.7843749999999999 [0.784375,0.784375]
area_under_roc_curve
0.7727678571428571 [0.772768,0.772768]
area_under_roc_curve
0.8033482142857142 [0.803348,0.803348]
area_under_roc_curve
0.7790178571428571 [0.779018,0.779018]
area_under_roc_curve
0.7763392857142858 [0.776339,0.776339]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.8229910714285714 [0.822991,0.822991]
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
0.8653931953860217 [0.94198,0.190476]
f_measure
0.8532952034316911 [0.938776,0.1]
f_measure
0.8402461405592141 [0.935593,0]
f_measure
0.8900065864319503 [0.955631,0.315789]
f_measure
0.8638699286755118 [0.949153,0.117647]
f_measure
0.8774928774928773 [0.952381,0.222222]
f_measure
0.8730845228060965 [0.948805,0.210526]
f_measure
0.8638699286755118 [0.949153,0.117647]
f_measure
0.8486084362373021 [0.934708,0.095238]
kappa
0.14918712145361815
kappa
0.06175298804780897
kappa
-0.033252511257360166
kappa
0.2928870292887026
kappa
0.10687022900763347
kappa
0.20408163265306098
kappa
0.18410041841004185
kappa
0.10687022900763347
kappa
0
kappa
0.04878048780487801
kb_relative_information_score
-0.36035112871732805
kb_relative_information_score
-0.3144961605852105
kb_relative_information_score
-0.2414936016056237
kb_relative_information_score
-0.11350597534520275
kb_relative_information_score
-0.038425110304348864
kb_relative_information_score
0.005194565470507082
kb_relative_information_score
-0.21450005364728242
kb_relative_information_score
-0.20504825914947297
kb_relative_information_score
-0.1522941577080471
kb_relative_information_score
-0.21909504857828163
mean_absolute_error
0.1813304950694041
mean_absolute_error
0.18339070949460354
mean_absolute_error
0.17354064575342215
mean_absolute_error
0.15925934799543415
mean_absolute_error
0.15509737040604424
mean_absolute_error
0.1527438834767699
mean_absolute_error
0.17005172009807804
mean_absolute_error
0.1706171331765224
mean_absolute_error
0.16466574632866887
mean_absolute_error
0.1753532591618748
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
number_of_instances
157 [141,16]
number_of_instances
157 [141,16]
number_of_instances
157 [141,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
precision
0.8561347636607443 [0.907895,0.4]
precision
0.8355189209441739 [0.901961,0.25]
precision
0.8047812060550914 [0.896104,0]
precision
0.9237472766884531 [0.915033,1]
precision
0.913151364764268 [0.903226,1]
precision
0.9184149184149183 [0.909091,1]
precision
0.8836936483995308 [0.908497,0.666667]
precision
0.913151364764268 [0.903226,1]
precision
0.8287994566140262 [0.900662,0.2]
predictive_accuracy
0.89171974522293
predictive_accuracy
0.8853503184713375
predictive_accuracy
0.8789808917197451
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.9102564102564102
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.8782051282051282
prior_entropy
0.47503096657936333
prior_entropy
0.47503096657936333
prior_entropy
0.47503096657936333
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
relative_absolute_error
0.9864676030339417
relative_absolute_error
0.9976755070601484
relative_absolute_error
0.944089546437388
relative_absolute_error
0.8639582530354042
relative_absolute_error
0.8413801442301058
relative_absolute_error
0.8286128280157017
relative_absolute_error
0.9225052649707761
relative_absolute_error
0.9255725467450943
relative_absolute_error
0.8932871591121068
relative_absolute_error
0.9512653251217705
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_squared_error
0.2970072513221593
root_mean_squared_error
0.28958097606406863
root_mean_squared_error
0.2880869946823646
root_mean_squared_error
0.2728231519621719
root_mean_squared_error
0.27862459241964266
root_mean_squared_error
0.27371688189781374
root_mean_squared_error
0.28748089117745895
root_mean_squared_error
0.28793953674321576
root_mean_squared_error
0.2868264881170526
root_mean_squared_error
0.2971167890603117
root_relative_squared_error
0.9817365271306133
root_relative_squared_error
0.9571894978950007
root_relative_squared_error
0.9522512477790767
root_relative_squared_error
0.899252352538835
root_relative_squared_error
0.918374479608967
root_relative_squared_error
0.9021981756531129
root_relative_squared_error
0.9475657246901663
root_relative_squared_error
0.949077466274493
root_relative_squared_error
0.945408746855453
root_relative_squared_error
0.979326606336973
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
0.5518617021276595 [0.978723,0.125]
unweighted_recall
0.5206117021276595 [0.978723,0.0625]
unweighted_recall
0.48936170212765956 [0.978723,0]
unweighted_recall
0.59375 [1,0.1875]
unweighted_recall
0.53125 [1,0.0625]
unweighted_recall
0.5625 [1,0.125]
unweighted_recall
0.5589285714285714 [0.992857,0.125]
unweighted_recall
0.53125 [1,0.0625]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5169642857142858 [0.971429,0.0625]
usercpu_time_millis
31.294000000343658
usercpu_time_millis
29.67999999964377
usercpu_time_millis
28.92000000065309
usercpu_time_millis
27.440000001661247
usercpu_time_millis
30.42200000345474
usercpu_time_millis
25.98999999827356
usercpu_time_millis
27.981999999610707
usercpu_time_millis
36.44399999757297
usercpu_time_millis
25.524000000586966
usercpu_time_millis
23.133999999117805
usercpu_time_millis_testing
0.844000001961831
usercpu_time_millis_testing
1.4620000001741573
usercpu_time_millis_testing
0.8320000015373807
usercpu_time_millis_testing
0.8259999995061662
usercpu_time_millis_testing
1.1060000033467077
usercpu_time_millis_testing
0.7619999996677507
usercpu_time_millis_testing
1.0180000026593916
usercpu_time_millis_testing
1.1859999976877589
usercpu_time_millis_testing
0.7640000003448222
usercpu_time_millis_testing
1.1999999987892807
usercpu_time_millis_training
30.449999998381827
usercpu_time_millis_training
28.217999999469612
usercpu_time_millis_training
28.08799999911571
usercpu_time_millis_training
26.61400000215508
usercpu_time_millis_training
29.316000000108033
usercpu_time_millis_training
25.22799999860581
usercpu_time_millis_training
26.963999996951316
usercpu_time_millis_training
35.257999999885214
usercpu_time_millis_training
24.760000000242144
usercpu_time_millis_training
21.934000000328524
wall_clock_time_millis
16.239166259765625
wall_clock_time_millis
15.871763229370117
wall_clock_time_millis
16.82591438293457
wall_clock_time_millis
14.573097229003906
wall_clock_time_millis
33.82420539855957
wall_clock_time_millis
14.332771301269531
wall_clock_time_millis
15.13814926147461
wall_clock_time_millis
31.644582748413086
wall_clock_time_millis
15.707015991210938
wall_clock_time_millis
11.996984481811523
wall_clock_time_millis_testing
0.4260540008544922
wall_clock_time_millis_testing
0.7398128509521484
wall_clock_time_millis_testing
0.4181861877441406
wall_clock_time_millis_testing
0.41604042053222656
wall_clock_time_millis_testing
0.5581378936767578
wall_clock_time_millis_testing
0.3838539123535156
wall_clock_time_millis_testing
0.5130767822265625
wall_clock_time_millis_testing
0.5967617034912109
wall_clock_time_millis_testing
0.38504600524902344
wall_clock_time_millis_testing
0.6420612335205078
wall_clock_time_millis_training
15.813112258911133
wall_clock_time_millis_training
15.131950378417969
wall_clock_time_millis_training
16.40772819519043
wall_clock_time_millis_training
14.15705680847168
wall_clock_time_millis_training
33.26606750488281
wall_clock_time_millis_training
13.948917388916016
wall_clock_time_millis_training
14.625072479248047
wall_clock_time_millis_training
31.047821044921875
wall_clock_time_millis_training
15.321969985961914
wall_clock_time_millis_training
11.354923248291016
weighted_recall
0.89171974522293 [0.978723,0.125]
weighted_recall
0.8853503184713376 [0.978723,0.0625]
weighted_recall
0.8789808917197452 [0.978723,0]
weighted_recall
0.9166666666666666 [1,0.1875]
weighted_recall
0.9038461538461539 [1,0.0625]
weighted_recall
0.9102564102564102 [1,0.125]
weighted_recall
0.9038461538461539 [0.992857,0.125]
weighted_recall
0.9038461538461539 [1,0.0625]
weighted_recall
0.8974358974358975 [1,0]
weighted_recall
0.8782051282051282 [0.971429,0.0625]