10434491
10792
George Volkov
10101
Supervised Classification
17462
sklearn.linear_model.logistic.LogisticRegression(33)
8258774
C
1
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
100
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1248
17462
solver
"warn"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
openml-python
Sklearn_0.21.2.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
21791815
description
https://api.openml.org/data/download/21791815/description.xml
-1
21791816
predictions
https://api.openml.org/data/download/21791816/predictions.arff
area_under_roc_curve
0.7515671200473094 [0.751567,0.751567]
average_cost
0
f_measure
0.7073906545881211 [0.866719,0.197183]
kappa
0.12907179431310603
kb_relative_information_score
0.09698723877462326
mean_absolute_error
0.30914075691507087
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7713903743315508 [0.975439,0.117978]
number_of_instances
748 [570,178]
precision
0.7370161477825862 [0.779804,0.6]
predictive_accuracy
0.7713903743315508
prior_entropy
0.7916465694609683
relative_absolute_error
0.851522893283948
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.3927613110040352
root_relative_squared_error
0.9223213995905958
total_cost
0
unweighted_recall
0.5467080622905579 [0.975439,0.117978]
area_under_roc_curve
0.7792397660818714 [0.77924,0.77924]
area_under_roc_curve
0.8367446393762183 [0.836745,0.836745]
area_under_roc_curve
0.6783625730994152 [0.678363,0.678363]
area_under_roc_curve
0.6895711500974658 [0.689571,0.689571]
area_under_roc_curve
0.7787524366471735 [0.778752,0.778752]
area_under_roc_curve
0.7373294346978557 [0.737329,0.737329]
area_under_roc_curve
0.7850877192982456 [0.785088,0.785088]
area_under_roc_curve
0.73635477582846 [0.736355,0.736355]
area_under_roc_curve
0.7352941176470589 [0.735294,0.735294]
area_under_roc_curve
0.7776057791537667 [0.777606,0.777606]
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
0.6880383430332078 [0.850394,0.173913]
f_measure
0.7144615384615385 [0.876923,0.2]
f_measure
0.6430769230769231 [0.846154,0]
f_measure
0.6630681818181817 [0.84375,0.090909]
f_measure
0.7755555555555557 [0.888889,0.416667]
f_measure
0.6787692307692308 [0.861538,0.1]
f_measure
0.7401993355481727 [0.883721,0.285714]
f_measure
0.720876412187607 [0.866142,0.26087]
f_measure
0.7199324324324324 [0.875,0.2]
f_measure
0.7199324324324324 [0.875,0.2]
kappa
0.07766990291262131
kappa
0.1596638655462184
kappa
-0.05042016806722702
kappa
0.003984063745019896
kappa
0.3371212121212121
kappa
0.0546218487394959
kappa
0.23312883435582848
kappa
0.17475728155339784
kappa
0.14078374455732942
kappa
0.14078374455732942
kb_relative_information_score
0.08515565451258376
kb_relative_information_score
0.17871333625240104
kb_relative_information_score
-0.006737527145061972
kb_relative_information_score
0.03402604307659979
kb_relative_information_score
0.17908288626584346
kb_relative_information_score
0.10087214127906796
kb_relative_information_score
0.15321363359916507
kb_relative_information_score
0.04344898740197992
kb_relative_information_score
0.08838596741526353
kb_relative_information_score
0.11400293815974631
mean_absolute_error
0.3138526739852214
mean_absolute_error
0.2890136284765443
mean_absolute_error
0.34007229890896956
mean_absolute_error
0.3294759059777156
mean_absolute_error
0.285792085412349
mean_absolute_error
0.30808499947868756
mean_absolute_error
0.29283033785940876
mean_absolute_error
0.3239087500845414
mean_absolute_error
0.3033182254718214
mean_absolute_error
0.3049248172135184
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.35873873873873896
mean_prior_absolute_error
0.35873873873873896
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
74 [57,17]
number_of_instances
74 [57,17]
precision
0.6822857142857144 [0.771429,0.4]
precision
0.8334246575342465 [0.780822,1]
precision
0.5726027397260274 [0.753425,0]
precision
0.6380281690140844 [0.760563,0.25]
precision
0.8168115942028985 [0.811594,0.833333]
precision
0.703013698630137 [0.767123,0.5]
precision
0.8416666666666667 [0.791667,1]
precision
0.7411428571428571 [0.785714,0.6]
precision
0.7606902677325212 [0.788732,0.666667]
precision
0.7606902677325212 [0.788732,0.666667]
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.8133333333333332
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.7837837837837838
predictive_accuracy
0.7837837837837838
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7778597106646706
prior_entropy
0.7778597106646706
relative_absolute_error
0.8619800259591179
relative_absolute_error
0.7937608809045267
relative_absolute_error
0.9339908604867696
relative_absolute_error
0.9048884190833695
relative_absolute_error
0.7849130806330074
relative_absolute_error
0.8461394082650342
relative_absolute_error
0.8042432744783816
relative_absolute_error
0.8895985153193421
relative_absolute_error
0.8455128836607774
relative_absolute_error
0.8499913287468739
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4207539065176338
root_mean_prior_squared_error
0.4207539065176338
root_mean_squared_error
0.3941294211455257
root_mean_squared_error
0.3688012616778751
root_mean_squared_error
0.41647633347365814
root_mean_squared_error
0.42706700739172176
root_mean_squared_error
0.375404409724115
root_mean_squared_error
0.3967864467649639
root_mean_squared_error
0.37552004377428533
root_mean_squared_error
0.3972092001914305
root_mean_squared_error
0.3903663103270603
root_mean_squared_error
0.3817596800302043
root_relative_squared_error
0.9228355621911439
root_relative_squared_error
0.8635308642224886
root_relative_squared_error
0.9751598097482774
root_relative_squared_error
0.9999573762195982
root_relative_squared_error
0.8789918258065597
root_relative_squared_error
0.9290568631134242
root_relative_squared_error
0.8792625775139232
root_relative_squared_error
0.9300467204421353
root_relative_squared_error
0.9277782197149965
root_relative_squared_error
0.9073229603257522
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
0.5292397660818713 [0.947368,0.111111]
unweighted_recall
0.5555555555555556 [1,0.111111]
unweighted_recall
0.4824561403508772 [0.964912,0]
unweighted_recall
0.5014619883040935 [0.947368,0.055556]
unweighted_recall
0.6301169590643274 [0.982456,0.277778]
unweighted_recall
0.5190058479532164 [0.982456,0.055556]
unweighted_recall
0.5833333333333334 [1,0.166667]
unweighted_recall
0.5657894736842105 [0.964912,0.166667]
unweighted_recall
0.5500515995872033 [0.982456,0.117647]
unweighted_recall
0.5500515995872033 [0.982456,0.117647]
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
wall_clock_time_millis
6.734609603881836
wall_clock_time_millis
1.9993782043457031
wall_clock_time_millis
1.9981861114501953
wall_clock_time_millis
1.9977092742919922
wall_clock_time_millis
2.0079612731933594
wall_clock_time_millis
2.675771713256836
wall_clock_time_millis
1.9974708557128906
wall_clock_time_millis
1.9958019256591797
wall_clock_time_millis
2.1877288818359375
wall_clock_time_millis
2.986431121826172
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_training
6.734609603881836
wall_clock_time_millis_training
1.9993782043457031
wall_clock_time_millis_training
1.9981861114501953
wall_clock_time_millis_training
1.9977092742919922
wall_clock_time_millis_training
2.0079612731933594
wall_clock_time_millis_training
2.675771713256836
wall_clock_time_millis_training
1.9974708557128906
wall_clock_time_millis_training
1.9958019256591797
wall_clock_time_millis_training
2.1877288818359375
wall_clock_time_millis_training
2.986431121826172
weighted_recall
0.7466666666666667 [0.947368,0.111111]
weighted_recall
0.7866666666666666 [1,0.111111]
weighted_recall
0.7333333333333333 [0.964912,0]
weighted_recall
0.7333333333333333 [0.947368,0.055556]
weighted_recall
0.8133333333333334 [0.982456,0.277778]
weighted_recall
0.76 [0.982456,0.055556]
weighted_recall
0.8 [1,0.166667]
weighted_recall
0.7733333333333333 [0.964912,0.166667]
weighted_recall
0.7837837837837838 [0.982456,0.117647]
weighted_recall
0.7837837837837838 [0.982456,0.117647]