10559147
8323
Heinrich Peters
167141
Supervised Classification
18607
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275977
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
"most_frequent"
17407
verbose
0
17407
categorical_features
null
17408
categories
null
17408
drop
null
17408
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
17408
handle_unknown
"ignore"
17408
n_values
null
17408
sparse
true
17408
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
"auto"
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
n_jobs
null
18299
remainder
"drop"
18299
sparse_threshold
0.3
18299
transformer_weights
null
18299
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, true, false, true, false, false, true, true, true, true, true, true, true, true, true, true, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, false, true, false, true, true, false, false, false, false, false, false, false, false, false, false, false, false, false, true]}}]
18299
verbose
false
18299
memory
null
18300
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
18300
verbose
false
18300
memory
null
18301
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
18301
verbose
false
18301
memory
null
18607
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]
18607
verbose
false
18607
openml-python
Sklearn_0.21.2.
40701
churn
https://www.openml.org/data/download/4965302/churn.arff
-1
22043258
description
https://api.openml.org/data/download/22043258/description.xml
-1
22043259
predictions
https://api.openml.org/data/download/22043259/predictions.arff
area_under_roc_curve
0.850171869537957 [0.850172,0.850172]
average_cost
0
f_measure
0.8231649072798652 [0.920684,0.231016]
kappa
0.17405840360537833
kb_relative_information_score
0.11792685597302528
mean_absolute_error
0.19186199529573722
mean_prior_absolute_error
0.2429149140343658
weighted_recall
0.8562 [0.972048,0.152758]
number_of_instances
5000 [4293,707]
precision
0.8178041359685888 [0.874476,0.473684]
predictive_accuracy
0.8562000000000001
prior_entropy
0.5878936972269143
relative_absolute_error
0.7898320943299265
root_mean_prior_squared_error
0.3484337247721322
root_mean_squared_error
0.3076680482571892
root_relative_squared_error
0.8830030688286479
total_cost
0
unweighted_recall
0.5624028260867416 [0.972048,0.152758]
area_under_roc_curve
0.8221594684385382 [0.822159,0.822159]
area_under_roc_curve
0.8232225913621263 [0.823223,0.823223]
area_under_roc_curve
0.8905980066445183 [0.890598,0.890598]
area_under_roc_curve
0.8440526609540693 [0.844053,0.844053]
area_under_roc_curve
0.8447749433664926 [0.844775,0.844775]
area_under_roc_curve
0.8686430939952068 [0.868643,0.868643]
area_under_roc_curve
0.8464164943038183 [0.846416,0.846416]
area_under_roc_curve
0.8539676286155159 [0.853968,0.853968]
area_under_roc_curve
0.838504218785909 [0.838504,0.838504]
area_under_roc_curve
0.8690370662201649 [0.869037,0.869037]
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
0.8223522685231897 [0.916759,0.242424]
f_measure
0.8203240058910162 [0.916944,0.226804]
f_measure
0.8299584859584859 [0.925275,0.244444]
f_measure
0.8272009574583832 [0.924092,0.241758]
f_measure
0.8095899752225817 [0.915105,0.172043]
f_measure
0.8272009574583832 [0.924092,0.241758]
f_measure
0.8322096253581402 [0.926293,0.263736]
f_measure
0.8162303613269207 [0.914539,0.222222]
f_measure
0.8171836216588693 [0.919692,0.197802]
f_measure
0.8293728349397163 [0.923925,0.258065]
kappa
0.17473591549295778
kappa
0.16144901610017895
kappa
0.1943127962085305
kappa
0.19127988748241911
kappa
0.11241239395057155
kappa
0.19127988748241911
kappa
0.21472105016408816
kappa
0.1542922414550567
kappa
0.14439756211908106
kappa
0.20462928808557718
kb_relative_information_score
0.04743824526011555
kb_relative_information_score
0.11472109497244215
kb_relative_information_score
0.1530605162591044
kb_relative_information_score
0.12569064181561085
kb_relative_information_score
0.09466268615235117
kb_relative_information_score
0.17382394890775868
kb_relative_information_score
0.1588478789483293
kb_relative_information_score
0.06838159065124359
kb_relative_information_score
0.09138493131674041
kb_relative_information_score
0.1509167879856891
mean_absolute_error
0.20088863637522586
mean_absolute_error
0.19167324412741998
mean_absolute_error
0.18559939190448152
mean_absolute_error
0.19026854810762223
mean_absolute_error
0.19727683119583428
mean_absolute_error
0.1859174614574157
mean_absolute_error
0.1850005589093757
mean_absolute_error
0.19931711434946195
mean_absolute_error
0.196361859404913
mean_absolute_error
0.18631630712562333
mean_prior_absolute_error
0.2419112355057981
mean_prior_absolute_error
0.2419112355057981
mean_prior_absolute_error
0.2419112355057981
mean_prior_absolute_error
0.2433450619752103
mean_prior_absolute_error
0.2433450619752103
mean_prior_absolute_error
0.2433450619752103
mean_prior_absolute_error
0.2433450619752103
mean_prior_absolute_error
0.2433450619752103
mean_prior_absolute_error
0.2433450619752103
mean_prior_absolute_error
0.2433450619752103
number_of_instances
500 [430,70]
number_of_instances
500 [430,70]
number_of_instances
500 [430,70]
number_of_instances
500 [429,71]
number_of_instances
500 [429,71]
number_of_instances
500 [429,71]
number_of_instances
500 [429,71]
number_of_instances
500 [429,71]
number_of_instances
500 [429,71]
number_of_instances
500 [429,71]
precision
0.8120286990262829 [0.876858,0.413793]
precision
0.8097643097643098 [0.875264,0.407407]
precision
0.8312916666666667 [0.877083,0.55]
precision
0.82885 [0.875,0.55]
precision
0.7965526816279954 [0.868201,0.363636]
precision
0.82885 [0.875,0.55]
precision
0.8377375 [0.877083,0.6]
precision
0.8047179176755449 [0.872881,0.392857]
precision
0.811075 [0.870833,0.45]
precision
0.8295507797641689 [0.876569,0.545455]
predictive_accuracy
0.85
predictive_accuracy
0.85
predictive_accuracy
0.8640000000000001
predictive_accuracy
0.862
predictive_accuracy
0.846
predictive_accuracy
0.862
predictive_accuracy
0.866
predictive_accuracy
0.846
predictive_accuracy
0.8540000000000001
predictive_accuracy
0.862
prior_entropy
0.584252995930804
prior_entropy
0.584252995930804
prior_entropy
0.584252995930804
prior_entropy
0.5894539977823555
prior_entropy
0.5894539977823555
prior_entropy
0.5894539977823555
prior_entropy
0.5894539977823555
prior_entropy
0.5894539977823555
prior_entropy
0.5894539977823555
prior_entropy
0.5894539977823555
relative_absolute_error
0.8304229274642805
relative_absolute_error
0.7923288214648714
relative_absolute_error
0.7672210491440076
relative_absolute_error
0.781887853253439
relative_absolute_error
0.8106876284834208
relative_absolute_error
0.7640075370683101
relative_absolute_error
0.7602396260180607
relative_absolute_error
0.8190719496488755
relative_absolute_error
0.8069276516690381
relative_absolute_error
0.7656465498552154
root_mean_prior_squared_error
0.34699046388913174
root_mean_prior_squared_error
0.34699046388913174
root_mean_prior_squared_error
0.34699046388913174
root_mean_prior_squared_error
0.3490504383314925
root_mean_prior_squared_error
0.3490504383314925
root_mean_prior_squared_error
0.3490504383314925
root_mean_prior_squared_error
0.3490504383314925
root_mean_prior_squared_error
0.3490504383314925
root_mean_prior_squared_error
0.3490504383314925
root_mean_prior_squared_error
0.3490504383314925
root_mean_squared_error
0.31973171400504274
root_mean_squared_error
0.305987255890985
root_mean_squared_error
0.29836766815385385
root_mean_squared_error
0.3088498870137706
root_mean_squared_error
0.3140370636469028
root_mean_squared_error
0.29859758534215824
root_mean_squared_error
0.302732626428186
root_mean_squared_error
0.31886643250252705
root_mean_squared_error
0.30947133450666015
root_mean_squared_error
0.2990870179214224
root_relative_squared_error
0.9214423659412192
root_relative_squared_error
0.8818318880047152
root_relative_squared_error
0.8598728184333805
root_relative_squared_error
0.8848288186948399
root_relative_squared_error
0.899689641268012
root_relative_squared_error
0.8554568410499479
root_relative_squared_error
0.8673033842194503
root_relative_squared_error
0.9135253748047159
root_relative_squared_error
0.8866092132299683
root_relative_squared_error
0.8568590240169819
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
0.5659468438538205 [0.960465,0.171429]
unweighted_recall
0.5599667774086379 [0.962791,0.157143]
unweighted_recall
0.5681063122923589 [0.97907,0.157143]
unweighted_recall
0.5669752782428839 [0.979021,0.15493]
unweighted_recall
0.5400210118519978 [0.967366,0.112676]
unweighted_recall
0.5669752782428839 [0.979021,0.15493]
unweighted_recall
0.5751830329295118 [0.981352,0.169014]
unweighted_recall
0.5576512689188745 [0.960373,0.15493]
unweighted_recall
0.550559768869628 [0.974359,0.126761]
unweighted_recall
0.5728520305985094 [0.97669,0.169014]
usercpu_time_millis
111.0499999995227
usercpu_time_millis
152.41200000309618
usercpu_time_millis
155.85200000350596
usercpu_time_millis
143.50199999898905
usercpu_time_millis
153.442000009818
usercpu_time_millis
154.42199999233708
usercpu_time_millis
140.92799999343697
usercpu_time_millis
149.68799999769544
usercpu_time_millis
169.6280000032857
usercpu_time_millis
149.9199999962002
usercpu_time_millis_testing
7.967999998072628
usercpu_time_millis_testing
6.002000001899432
usercpu_time_millis_testing
7.698000001255423
usercpu_time_millis_testing
7.087999998475425
usercpu_time_millis_testing
6.31200000498211
usercpu_time_millis_testing
7.721999994828366
usercpu_time_millis_testing
6.865999996080063
usercpu_time_millis_testing
5.654000000504311
usercpu_time_millis_testing
7.696000000578351
usercpu_time_millis_testing
5.890000000363216
usercpu_time_millis_training
103.08200000145007
usercpu_time_millis_training
146.41000000119675
usercpu_time_millis_training
148.15400000225054
usercpu_time_millis_training
136.41400000051362
usercpu_time_millis_training
147.1300000048359
usercpu_time_millis_training
146.6999999975087
usercpu_time_millis_training
134.0619999973569
usercpu_time_millis_training
144.03399999719113
usercpu_time_millis_training
161.93200000270735
usercpu_time_millis_training
144.029999995837
wall_clock_time_millis
34.76691246032715
wall_clock_time_millis
38.33770751953125
wall_clock_time_millis
40.430307388305664
wall_clock_time_millis
37.08696365356445
wall_clock_time_millis
47.026872634887695
wall_clock_time_millis
39.198875427246094
wall_clock_time_millis
35.745859146118164
wall_clock_time_millis
37.99581527709961
wall_clock_time_millis
43.70999336242676
wall_clock_time_millis
38.28907012939453
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
1.5017986297607422
wall_clock_time_millis_testing
1.940011978149414
wall_clock_time_millis_testing
1.783132553100586
wall_clock_time_millis_testing
1.7268657684326172
wall_clock_time_millis_testing
1.9466876983642578
wall_clock_time_millis_testing
1.7497539520263672
wall_clock_time_millis_testing
1.435995101928711
wall_clock_time_millis_testing
1.936197280883789
wall_clock_time_millis_testing
1.5380382537841797
wall_clock_time_millis_training
32.76705741882324
wall_clock_time_millis_training
36.83590888977051
wall_clock_time_millis_training
38.49029541015625
wall_clock_time_millis_training
35.30383110046387
wall_clock_time_millis_training
45.30000686645508
wall_clock_time_millis_training
37.252187728881836
wall_clock_time_millis_training
33.9961051940918
wall_clock_time_millis_training
36.5598201751709
wall_clock_time_millis_training
41.77379608154297
wall_clock_time_millis_training
36.75103187561035
weighted_recall
0.85 [0.960465,0.171429]
weighted_recall
0.85 [0.962791,0.157143]
weighted_recall
0.864 [0.97907,0.157143]
weighted_recall
0.862 [0.979021,0.15493]
weighted_recall
0.846 [0.967366,0.112676]
weighted_recall
0.862 [0.979021,0.15493]
weighted_recall
0.866 [0.981352,0.169014]
weighted_recall
0.846 [0.960373,0.15493]
weighted_recall
0.854 [0.974359,0.126761]
weighted_recall
0.862 [0.97669,0.169014]