10550368
8323
Heinrich Peters
3903
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275617
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
1.0
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
100
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"warn"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
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"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
1050
pc3
https://www.openml.org/data/download/53933/pc3.arff
-1
22025691
description
https://api.openml.org/data/download/22025691/description.xml
-1
22025692
predictions
https://api.openml.org/data/download/22025692/predictions.arff
area_under_roc_curve
0.8107181040627227 [0.810718,0.810718]
average_cost
0
f_measure
0.8730539900079424 [0.946648,0.227723]
kappa
0.19338639566503282
kb_relative_information_score
-0.11504863535285051
mean_absolute_error
0.1574361235775163
mean_prior_absolute_error
0.1841804999396983
weighted_recall
0.9001919385796545 [0.986458,0.14375]
number_of_instances
1563 [1403,160]
precision
0.8728391436201861 [0.909928,0.547619]
predictive_accuracy
0.9001919385796545
prior_entropy
0.47645699262891783
relative_absolute_error
0.8547925737472846
root_mean_prior_squared_error
0.30313107457396465
root_mean_squared_error
0.2829010130510448
root_relative_squared_error
0.9332629901063355
total_cost
0
unweighted_recall
0.5651037954383464 [0.986458,0.14375]
area_under_roc_curve
0.7575354609929078 [0.757535,0.757535]
area_under_roc_curve
0.8891843971631206 [0.889184,0.889184]
area_under_roc_curve
0.875886524822695 [0.875887,0.875887]
area_under_roc_curve
0.7977678571428571 [0.797768,0.797768]
area_under_roc_curve
0.7767857142857143 [0.776786,0.776786]
area_under_roc_curve
0.8087053571428572 [0.808705,0.808705]
area_under_roc_curve
0.803125 [0.803125,0.803125]
area_under_roc_curve
0.7999999999999999 [0.8,0.8]
area_under_roc_curve
0.8267857142857142 [0.826786,0.826786]
area_under_roc_curve
0.8238839285714286 [0.823884,0.823884]
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
0.8722089149134803 [0.941581,0.26087]
f_measure
0.8532952034316911 [0.938776,0.1]
f_measure
0.8653931953860217 [0.94198,0.190476]
f_measure
0.8964162984781543 [0.955326,0.380952]
f_measure
0.8638699286755118 [0.949153,0.117647]
f_measure
0.8964162984781543 [0.955326,0.380952]
f_measure
0.8730845228060965 [0.948805,0.210526]
f_measure
0.8774928774928773 [0.952381,0.222222]
f_measure
0.8774928774928773 [0.952381,0.222222]
f_measure
0.8522079772079771 [0.930556,0.166667]
kappa
0.21198700915264287
kappa
0.06175298804780897
kappa
0.14918712145361815
kappa
0.34916559691912685
kappa
0.10687022900763347
kappa
0.34916559691912685
kappa
0.18410041841004185
kappa
0.20408163265306098
kappa
0.20408163265306098
kappa
0.10550458715596356
kb_relative_information_score
-0.3585235768089861
kb_relative_information_score
-0.22977898552419826
kb_relative_information_score
-0.12937530529672736
kb_relative_information_score
-0.00903057840904544
kb_relative_information_score
0.014592393345544432
kb_relative_information_score
0.060271861001800334
kb_relative_information_score
-0.09174341564366127
kb_relative_information_score
-0.10613964408095444
kb_relative_information_score
-0.09850824563161964
kb_relative_information_score
-0.20146688294653659
mean_absolute_error
0.17688757026126353
mean_absolute_error
0.17289026881374547
mean_absolute_error
0.1582188607079352
mean_absolute_error
0.14384514274859905
mean_absolute_error
0.1461950273416318
mean_absolute_error
0.1418186860976905
mean_absolute_error
0.15408625178494129
mean_absolute_error
0.15802174411357506
mean_absolute_error
0.15401235983850237
mean_absolute_error
0.16815655272721278
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
0.8639308462238399 [0.913333,0.428571]
precision
0.8355189209441739 [0.901961,0.25]
precision
0.8561347636607443 [0.907895,0.4]
precision
0.9081677704194261 [0.92053,0.8]
precision
0.913151364764268 [0.903226,1]
precision
0.9081677704194261 [0.92053,0.8]
precision
0.8836936483995308 [0.908497,0.666667]
precision
0.9184149184149183 [0.909091,1]
precision
0.9184149184149183 [0.909091,1]
precision
0.8381843381843382 [0.905405,0.25]
predictive_accuracy
0.89171974522293
predictive_accuracy
0.8853503184713375
predictive_accuracy
0.89171974522293
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.9102564102564102
predictive_accuracy
0.9102564102564102
predictive_accuracy
0.8717948717948718
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
0.9622973641324875
relative_absolute_error
0.940551389325393
relative_absolute_error
0.8607365254122274
relative_absolute_error
0.7803384843712338
relative_absolute_error
0.7930862584478274
relative_absolute_error
0.769345258730117
relative_absolute_error
0.8358949762415696
relative_absolute_error
0.8572444362254078
relative_absolute_error
0.8354941234328505
relative_absolute_error
0.9122242641281167
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
0.3036463675853245
root_mean_squared_error
0.2883750649505446
root_mean_squared_error
0.2750837534002865
root_mean_squared_error
0.26200306587972966
root_mean_squared_error
0.27983188940972903
root_mean_squared_error
0.2732091207962085
root_mean_squared_error
0.28165314026621646
root_mean_squared_error
0.2815520652544057
root_mean_squared_error
0.2831175610042032
root_mean_squared_error
0.29812254705957236
root_relative_squared_error
1.0036816578114338
root_relative_squared_error
0.9532034437385817
root_relative_squared_error
0.9092699505855549
root_relative_squared_error
0.8635882683350943
root_relative_squared_error
0.9223538510469845
root_relative_squared_error
0.900524544358033
root_relative_squared_error
0.9283568757370841
root_relative_squared_error
0.9280237224049712
root_relative_squared_error
0.9331837527241363
root_relative_squared_error
0.9826416851358769
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
0.5795656028368794 [0.971631,0.1875]
unweighted_recall
0.5206117021276595 [0.978723,0.0625]
unweighted_recall
0.5518617021276595 [0.978723,0.125]
unweighted_recall
0.6214285714285714 [0.992857,0.25]
unweighted_recall
0.53125 [1,0.0625]
unweighted_recall
0.6214285714285714 [0.992857,0.25]
unweighted_recall
0.5589285714285714 [0.992857,0.125]
unweighted_recall
0.5625 [1,0.125]
unweighted_recall
0.5625 [1,0.125]
unweighted_recall
0.5410714285714286 [0.957143,0.125]
usercpu_time_millis
34.792954043950886
usercpu_time_millis
38.020602019969374
usercpu_time_millis
30.24592698784545
usercpu_time_millis
27.780685981269926
usercpu_time_millis
26.833202980924398
usercpu_time_millis
28.131778992246836
usercpu_time_millis
27.841595001518726
usercpu_time_millis
27.67724299337715
usercpu_time_millis
27.262674004305154
usercpu_time_millis
28.56414602138102
usercpu_time_millis_testing
0.7521400111727417
usercpu_time_millis_testing
0.7008000393398106
usercpu_time_millis_testing
0.6366269662976265
usercpu_time_millis_testing
0.672616995871067
usercpu_time_millis_testing
0.6636499892920256
usercpu_time_millis_testing
0.6581839988939464
usercpu_time_millis_testing
0.6665720138698816
usercpu_time_millis_testing
0.7098820060491562
usercpu_time_millis_testing
0.6832859944552183
usercpu_time_millis_testing
0.6763130077160895
usercpu_time_millis_training
34.040814032778144
usercpu_time_millis_training
37.31980198062956
usercpu_time_millis_training
29.609300021547824
usercpu_time_millis_training
27.10806898539886
usercpu_time_millis_training
26.169552991632372
usercpu_time_millis_training
27.47359499335289
usercpu_time_millis_training
27.175022987648845
usercpu_time_millis_training
26.967360987327993
usercpu_time_millis_training
26.579388009849936
usercpu_time_millis_training
27.88783301366493
wall_clock_time_millis
34.801483154296875
wall_clock_time_millis
38.03062438964844
wall_clock_time_millis
30.25507926940918
wall_clock_time_millis
27.78792381286621
wall_clock_time_millis
26.842594146728516
wall_clock_time_millis
28.13887596130371
wall_clock_time_millis
27.8472900390625
wall_clock_time_millis
27.66871452331543
wall_clock_time_millis
27.269363403320312
wall_clock_time_millis
28.572797775268555
wall_clock_time_millis_testing
0.75531005859375
wall_clock_time_millis_testing
0.7042884826660156
wall_clock_time_millis_testing
0.6392002105712891
wall_clock_time_millis_testing
0.6761550903320312
wall_clock_time_millis_testing
0.6668567657470703
wall_clock_time_millis_testing
0.6611347198486328
wall_clock_time_millis_testing
0.6699562072753906
wall_clock_time_millis_testing
0.7131099700927734
wall_clock_time_millis_testing
0.6883144378662109
wall_clock_time_millis_testing
0.6802082061767578
wall_clock_time_millis_training
34.046173095703125
wall_clock_time_millis_training
37.32633590698242
wall_clock_time_millis_training
29.61587905883789
wall_clock_time_millis_training
27.11176872253418
wall_clock_time_millis_training
26.175737380981445
wall_clock_time_millis_training
27.477741241455078
wall_clock_time_millis_training
27.17733383178711
wall_clock_time_millis_training
26.955604553222656
wall_clock_time_millis_training
26.5810489654541
wall_clock_time_millis_training
27.892589569091797
weighted_recall
0.89171974522293 [0.971631,0.1875]
weighted_recall
0.8853503184713376 [0.978723,0.0625]
weighted_recall
0.89171974522293 [0.978723,0.125]
weighted_recall
0.9166666666666666 [0.992857,0.25]
weighted_recall
0.9038461538461539 [1,0.0625]
weighted_recall
0.9166666666666666 [0.992857,0.25]
weighted_recall
0.9038461538461539 [0.992857,0.125]
weighted_recall
0.9102564102564102 [1,0.125]
weighted_recall
0.9102564102564102 [1,0.125]
weighted_recall
0.8717948717948718 [0.957143,0.125]