10558136
8323
Heinrich Peters
3918
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275914
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
1000
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.
1068
pc1
https://www.openml.org/data/download/53951/pc1.arff
-1
22041232
description
https://api.openml.org/data/download/22041232/description.xml
-1
22041233
predictions
https://api.openml.org/data/download/22041233/predictions.arff
area_under_roc_curve
0.8120029195610591 [0.812003,0.812003]
average_cost
0
f_measure
0.9041737401940048 [0.960868,0.14433]
kappa
0.11910845702583002
kb_relative_information_score
-0.2502542543533685
mean_absolute_error
0.11570037794819667
mean_prior_absolute_error
0.12988972477049396
weighted_recall
0.9251577998196574 [0.987403,0.090909]
number_of_instances
1109 [1032,77]
precision
0.8950531215921822 [0.935721,0.35]
predictive_accuracy
0.9251577998196574
prior_entropy
0.36380676688852276
relative_absolute_error
0.8907585119040873
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.25350953380302527
root_relative_squared_error
0.9973293787278485
total_cost
0
unweighted_recall
0.5391560958421423 [0.987403,0.090909]
area_under_roc_curve
0.7005494505494504 [0.700549,0.700549]
area_under_roc_curve
0.8337912087912089 [0.833791,0.833791]
area_under_roc_curve
0.8628640776699029 [0.862864,0.862864]
area_under_roc_curve
0.6589805825242718 [0.658981,0.658981]
area_under_roc_curve
0.758495145631068 [0.758495,0.758495]
area_under_roc_curve
0.8592233009708737 [0.859223,0.859223]
area_under_roc_curve
0.904126213592233 [0.904126,0.904126]
area_under_roc_curve
0.8434466019417476 [0.843447,0.843447]
area_under_roc_curve
0.787621359223301 [0.787621,0.787621]
area_under_roc_curve
0.8668515950069348 [0.866852,0.866852]
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
0.926433442788583 [0.971963,0.25]
f_measure
0.8973480522776298 [0.957746,0]
f_measure
0.8841577426483087 [0.95283,0]
f_measure
0.8887197056211139 [0.957746,0]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.9233516152947432 [0.966825,0.363636]
f_measure
0.8795525383203108 [0.947867,0]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.9281426707264028 [0.966507,0.363636]
kappa
0.23798627002288333
kappa
-0.028836251287332113
kappa
-0.02968460111317236
kappa
-0.016276703967446498
kappa
0.17625231910946135
kappa
0
kappa
0.3375959079283886
kappa
-0.0409207161125317
kappa
0.17625231910946135
kappa
0.33275563258232294
kb_relative_information_score
-0.09361662397757296
kb_relative_information_score
-0.46130387338147405
kb_relative_information_score
-0.20314068264893972
kb_relative_information_score
-0.45352281882682666
kb_relative_information_score
-0.2168932200842552
kb_relative_information_score
-0.07319894372479785
kb_relative_information_score
0.06907881321497307
kb_relative_information_score
-0.35505693838606667
kb_relative_information_score
-0.4241104035593367
kb_relative_information_score
-0.3002910575359515
mean_absolute_error
0.09991269165184805
mean_absolute_error
0.12100355599093758
mean_absolute_error
0.12243133480754186
mean_absolute_error
0.1284320744791025
mean_absolute_error
0.1123771184978396
mean_absolute_error
0.10725450229382312
mean_absolute_error
0.09984419410993503
mean_absolute_error
0.12802663955076996
mean_absolute_error
0.12630950273872618
mean_absolute_error
0.11137318161065311
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1249079453399885
number_of_instances
111 [104,7]
number_of_instances
111 [104,7]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
110 [103,7]
precision
0.9488943488943489 [0.945455,1]
precision
0.8767666749318126 [0.93578,0]
precision
0.8598231258781718 [0.926606,0]
precision
0.8604422604422604 [0.927273,0]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.9244244244244243 [0.944444,0.666667]
precision
0.8591925258591925 [0.925926,0]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.9240137221269297 [0.95283,0.5]
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.927927927927928
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9369369369369369
predictive_accuracy
0.9009009009009009
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9363636363636364
prior_entropy
0.3400686187404258
prior_entropy
0.3400686187404258
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.3422054374333021
relative_absolute_error
0.8030589224530771
relative_absolute_error
0.9725789955261958
relative_absolute_error
0.9263930936189025
relative_absolute_error
0.9717984940997303
relative_absolute_error
0.8503165192215046
relative_absolute_error
0.811555557576179
relative_absolute_error
0.755484468145251
relative_absolute_error
0.9687307164094066
relative_absolute_error
0.9557377707229388
relative_absolute_error
0.891642091361803
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.24419244540685378
root_mean_squared_error
0.2288429221829167
root_mean_squared_error
0.2588328450266414
root_mean_squared_error
0.2696728482801927
root_mean_squared_error
0.26874388143472205
root_mean_squared_error
0.25722030014230574
root_mean_squared_error
0.24450146460541883
root_mean_squared_error
0.2271960415780269
root_mean_squared_error
0.27729411924379604
root_mean_squared_error
0.26424418932130317
root_mean_squared_error
0.23235682499829685
root_relative_squared_error
0.9410382841124715
root_relative_squared_error
1.0643615893050444
root_relative_squared_error
1.0427622518025066
root_relative_squared_error
1.039170152835886
root_relative_squared_error
0.9946111412262924
root_relative_squared_error
0.9454303591441089
root_relative_squared_error
0.8785143088278798
root_relative_squared_error
1.0722319359857169
root_relative_squared_error
1.021770888836822
root_relative_squared_error
0.9515315865368507
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
0.5714285714285714 [1,0.142857]
unweighted_recall
0.49038461538461536 [0.980769,0]
unweighted_recall
0.49029126213592233 [0.980583,0]
unweighted_recall
0.49514563106796117 [0.990291,0]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.6201456310679612 [0.990291,0.25]
unweighted_recall
0.4854368932038835 [0.970874,0]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.6331484049930651 [0.980583,0.285714]
usercpu_time_millis
216.1839999971562
usercpu_time_millis
146.23399999982212
usercpu_time_millis
240.19800000314717
usercpu_time_millis
185.70000000181608
usercpu_time_millis
288.3619999993243
usercpu_time_millis
212.75999999852502
usercpu_time_millis
229.16000000259373
usercpu_time_millis
226.46999999778927
usercpu_time_millis
243.35000000428408
usercpu_time_millis
269.84600000287173
usercpu_time_millis_testing
1.31399999736459
usercpu_time_millis_testing
1.194000000396045
usercpu_time_millis_testing
1.8900000031862874
usercpu_time_millis_testing
1.15400000140653
usercpu_time_millis_testing
1.15400000140653
usercpu_time_millis_testing
1.1579999991226941
usercpu_time_millis_testing
1.1520000007294584
usercpu_time_millis_testing
1.1659999981930014
usercpu_time_millis_testing
1.15400000140653
usercpu_time_millis_testing
1.150000000052387
usercpu_time_millis_training
214.86999999979162
usercpu_time_millis_training
145.03999999942607
usercpu_time_millis_training
238.30799999996088
usercpu_time_millis_training
184.54600000040955
usercpu_time_millis_training
287.2079999979178
usercpu_time_millis_training
211.60199999940232
usercpu_time_millis_training
228.00800000186427
usercpu_time_millis_training
225.30399999959627
usercpu_time_millis_training
242.19600000287755
usercpu_time_millis_training
268.69600000281935
wall_clock_time_millis
64.91851806640625
wall_clock_time_millis
41.8400764465332
wall_clock_time_millis
68.34197044372559
wall_clock_time_millis
51.13577842712402
wall_clock_time_millis
76.06196403503418
wall_clock_time_millis
57.10911750793457
wall_clock_time_millis
63.89427185058594
wall_clock_time_millis
70.70279121398926
wall_clock_time_millis
68.77589225769043
wall_clock_time_millis
72.36194610595703
wall_clock_time_millis_testing
0.3447532653808594
wall_clock_time_millis_testing
0.2970695495605469
wall_clock_time_millis_testing
0.4940032958984375
wall_clock_time_millis_testing
0.29087066650390625
wall_clock_time_millis_testing
0.2899169921875
wall_clock_time_millis_testing
0.2949237823486328
wall_clock_time_millis_testing
0.29015541076660156
wall_clock_time_millis_testing
0.29587745666503906
wall_clock_time_millis_testing
0.29087066650390625
wall_clock_time_millis_testing
0.28896331787109375
wall_clock_time_millis_training
64.57376480102539
wall_clock_time_millis_training
41.543006896972656
wall_clock_time_millis_training
67.84796714782715
wall_clock_time_millis_training
50.84490776062012
wall_clock_time_millis_training
75.77204704284668
wall_clock_time_millis_training
56.81419372558594
wall_clock_time_millis_training
63.604116439819336
wall_clock_time_millis_training
70.40691375732422
wall_clock_time_millis_training
68.48502159118652
wall_clock_time_millis_training
72.07298278808594
weighted_recall
0.9459459459459459 [1,0.142857]
weighted_recall
0.918918918918919 [0.980769,0]
weighted_recall
0.9099099099099099 [0.980583,0]
weighted_recall
0.918918918918919 [0.990291,0]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9369369369369369 [0.990291,0.25]
weighted_recall
0.9009009009009009 [0.970874,0]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9363636363636364 [0.980583,0.285714]