10558177
8323
Heinrich Peters
9946
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275575
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
0.01
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.
1510
wdbc
https://www.openml.org/data/download/1592318/phpAmSP4g
-1
22041317
description
https://api.openml.org/data/download/22041317/description.xml
-1
22041318
predictions
https://api.openml.org/data/download/22041318/predictions.arff
area_under_roc_curve
0.9931425400348819 [0.993143,0.993143]
average_cost
0
f_measure
0.9500480123507387 [0.962162,0.929648]
kappa
0.8920581579696202
kb_relative_information_score
0.7475205990091485
mean_absolute_error
0.1369977101445082
mean_prior_absolute_error
0.46764379083961705
weighted_recall
0.9507908611599297 [0.997199,0.872642]
number_of_instances
569 [357,212]
precision
0.9537664555818757 [0.929504,0.994624]
predictive_accuracy
0.9507908611599296
prior_entropy
0.9526357368194003
relative_absolute_error
0.2929531254943849
root_mean_prior_squared_error
0.4834927399189952
root_mean_squared_error
0.20446281970920632
root_relative_squared_error
0.4228870525407728
total_cost
0
unweighted_recall
0.9349201944928915 [0.997199,0.872642]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9986772486772487 [0.998677,0.998677]
area_under_roc_curve
0.9695767195767195 [0.969577,0.969577]
area_under_roc_curve
0.9973544973544973 [0.997354,0.997354]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9907407407407406 [0.990741,0.990741]
area_under_roc_curve
0.9935064935064934 [0.993506,0.993506]
area_under_roc_curve
0.9948051948051948 [0.994805,0.994805]
area_under_roc_curve
1 [1,1]
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
0.9645092460881936 [0.972973,0.95]
f_measure
0.9823623542652152 [0.986301,0.97561]
f_measure
0.9106612685560054 [0.933333,0.871795]
f_measure
0.9463967611336033 [0.96,0.923077]
f_measure
0.9645092460881936 [0.972973,0.95]
f_measure
0.9645092460881936 [0.972973,0.95]
f_measure
0.9279778393351801 [0.947368,0.894737]
f_measure
0.9282124229492651 [0.945946,0.9]
f_measure
0.9282124229492651 [0.945946,0.9]
f_measure
0.9820508416351768 [0.985915,0.97561]
kappa
0.9230769230769231
kappa
0.9619238476953906
kappa
0.805725971370143
kappa
0.8834355828220858
kappa
0.9230769230769231
kappa
0.9230769230769231
kappa
0.8429752066115702
kappa
0.8467741935483871
kappa
0.8467741935483871
kappa
0.9615384615384615
kb_relative_information_score
0.768486651109087
kb_relative_information_score
0.7557605994529548
kb_relative_information_score
0.71456645857926
kb_relative_information_score
0.7530370442317392
kb_relative_information_score
0.7693272174222712
kb_relative_information_score
0.7307885271810376
kb_relative_information_score
0.7556436805010361
kb_relative_information_score
0.723649375155153
kb_relative_information_score
0.7089029664466238
kb_relative_information_score
0.7965181273407641
mean_absolute_error
0.1293627539793683
mean_absolute_error
0.13527679891932679
mean_absolute_error
0.15046733646500396
mean_absolute_error
0.1358054985409733
mean_absolute_error
0.12917145661243373
mean_absolute_error
0.14809167354024155
mean_absolute_error
0.12562280509191873
mean_absolute_error
0.14877052046054948
mean_absolute_error
0.1521305197216679
mean_absolute_error
0.11488988147018889
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4710418778996528
mean_prior_absolute_error
0.4710418778996528
mean_prior_absolute_error
0.4682574430823117
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [35,22]
number_of_instances
57 [35,22]
number_of_instances
56 [35,21]
precision
0.966759002770083 [0.947368,1]
precision
0.9829302987197724 [0.972973,1]
precision
0.9147548358074673 [0.897436,0.944444]
precision
0.9514170040485831 [0.923077,1]
precision
0.966759002770083 [0.947368,1]
precision
0.966759002770083 [0.947368,1]
precision
0.9368421052631579 [0.9,1]
precision
0.9370220422852001 [0.897436,1]
precision
0.9370220422852001 [0.897436,1]
precision
0.982638888888889 [0.972222,1]
predictive_accuracy
0.9649122807017544
predictive_accuracy
0.9824561403508772
predictive_accuracy
0.912280701754386
predictive_accuracy
0.9473684210526316
predictive_accuracy
0.9649122807017544
predictive_accuracy
0.9649122807017544
predictive_accuracy
0.9298245614035088
predictive_accuracy
0.9298245614035088
predictive_accuracy
0.9298245614035088
predictive_accuracy
0.9821428571428571
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9626598502888526
prior_entropy
0.9626598502888526
prior_entropy
0.9544459669879928
relative_absolute_error
0.2772533618969117
relative_absolute_error
0.2899284850801612
relative_absolute_error
0.3224852100570581
relative_absolute_error
0.2910616068097628
relative_absolute_error
0.2768433687847281
relative_absolute_error
0.317393632208234
relative_absolute_error
0.26923781359980764
relative_absolute_error
0.3158328960556718
relative_absolute_error
0.3229660182232813
relative_absolute_error
0.24535623120889333
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4869941648669064
root_mean_prior_squared_error
0.4869941648669064
root_mean_prior_squared_error
0.4841269273621067
root_mean_squared_error
0.18424032499557313
root_mean_squared_error
0.1891914234403145
root_mean_squared_error
0.23179724764862464
root_mean_squared_error
0.19771098629849948
root_mean_squared_error
0.1796658883867262
root_mean_squared_error
0.20322239141305048
root_mean_squared_error
0.22270578257898294
root_mean_squared_error
0.2242737478445255
root_mean_squared_error
0.23191502927168853
root_mean_squared_error
0.16730289720417504
root_relative_squared_error
0.381925651455108
root_relative_squared_error
0.3921891564666826
root_relative_squared_error
0.48050997964657904
root_relative_squared_error
0.4098500002304093
root_relative_squared_error
0.37244295714312203
root_relative_squared_error
0.42127500715469957
root_relative_squared_error
0.4616635966981789
root_relative_squared_error
0.46052656073573006
root_relative_squared_error
0.4762172650160397
root_relative_squared_error
0.34557651671178263
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
0.9523809523809523 [1,0.904762]
unweighted_recall
0.9761904761904762 [1,0.952381]
unweighted_recall
0.8908730158730158 [0.972222,0.809524]
unweighted_recall
0.9285714285714286 [1,0.857143]
unweighted_recall
0.9523809523809523 [1,0.904762]
unweighted_recall
0.9523809523809523 [1,0.904762]
unweighted_recall
0.9047619047619048 [1,0.809524]
unweighted_recall
0.9090909090909092 [1,0.818182]
unweighted_recall
0.9090909090909092 [1,0.818182]
unweighted_recall
0.9761904761904762 [1,0.952381]
usercpu_time_millis
19.20800000152667
usercpu_time_millis
26.433999995788326
usercpu_time_millis
22.77200000025914
usercpu_time_millis
30.721999999514082
usercpu_time_millis
31.98799999881885
usercpu_time_millis
30.946000002586516
usercpu_time_millis
23.477999999158783
usercpu_time_millis
21.839999997609993
usercpu_time_millis
22.90799999900628
usercpu_time_millis
25.693999999930384
usercpu_time_millis_testing
1.339999998890562
usercpu_time_millis_testing
1.4259999989008065
usercpu_time_millis_testing
2.1280000000842847
usercpu_time_millis_testing
1.59200000052806
usercpu_time_millis_testing
1.2040000001434237
usercpu_time_millis_testing
1.6600000017206185
usercpu_time_millis_testing
1.0719999991124496
usercpu_time_millis_testing
1.2219999989611097
usercpu_time_millis_testing
1.1059999997087289
usercpu_time_millis_testing
3.081999999267282
usercpu_time_millis_training
17.86800000263611
usercpu_time_millis_training
25.00799999688752
usercpu_time_millis_training
20.644000000174856
usercpu_time_millis_training
29.129999998986023
usercpu_time_millis_training
30.783999998675426
usercpu_time_millis_training
29.286000000865897
usercpu_time_millis_training
22.406000000046333
usercpu_time_millis_training
20.617999998648884
usercpu_time_millis_training
21.80199999929755
usercpu_time_millis_training
22.6120000006631
wall_clock_time_millis
7.374048233032227
wall_clock_time_millis
11.279821395874023
wall_clock_time_millis
8.228778839111328
wall_clock_time_millis
14.180183410644531
wall_clock_time_millis
12.881040573120117
wall_clock_time_millis
18.30601692199707
wall_clock_time_millis
7.879972457885742
wall_clock_time_millis
7.022380828857422
wall_clock_time_millis
7.865190505981445
wall_clock_time_millis
11.314868927001953
wall_clock_time_millis_testing
0.3662109375
wall_clock_time_millis_testing
0.35691261291503906
wall_clock_time_millis_testing
0.5860328674316406
wall_clock_time_millis_testing
0.4031658172607422
wall_clock_time_millis_testing
0.3039836883544922
wall_clock_time_millis_testing
0.4189014434814453
wall_clock_time_millis_testing
0.2739429473876953
wall_clock_time_millis_testing
0.31638145446777344
wall_clock_time_millis_testing
0.2791881561279297
wall_clock_time_millis_testing
1.386880874633789
wall_clock_time_millis_training
7.007837295532227
wall_clock_time_millis_training
10.922908782958984
wall_clock_time_millis_training
7.6427459716796875
wall_clock_time_millis_training
13.777017593383789
wall_clock_time_millis_training
12.577056884765625
wall_clock_time_millis_training
17.887115478515625
wall_clock_time_millis_training
7.606029510498047
wall_clock_time_millis_training
6.705999374389648
wall_clock_time_millis_training
7.586002349853516
wall_clock_time_millis_training
9.927988052368164
weighted_recall
0.9649122807017544 [1,0.904762]
weighted_recall
0.9824561403508771 [1,0.952381]
weighted_recall
0.9122807017543859 [0.972222,0.809524]
weighted_recall
0.9473684210526315 [1,0.857143]
weighted_recall
0.9649122807017544 [1,0.904762]
weighted_recall
0.9649122807017544 [1,0.904762]
weighted_recall
0.9298245614035088 [1,0.809524]
weighted_recall
0.9298245614035088 [1,0.818182]
weighted_recall
0.9298245614035088 [1,0.818182]
weighted_recall
0.9821428571428571 [1,0.952381]