10558422
8323
Heinrich Peters
10101
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275921
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
100000.0
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
724
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
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.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22041807
description
https://api.openml.org/data/download/22041807/description.xml
-1
22041808
predictions
https://api.openml.org/data/download/22041808/predictions.arff
area_under_roc_curve
0.7515769761482357 [0.751577,0.751577]
average_cost
0
f_measure
0.7073906545881211 [0.866719,0.197183]
kappa
0.12907179431310603
kb_relative_information_score
0.09817423877517034
mean_absolute_error
0.30892968682886446
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
0.8509415043649142
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.39279881816741163
root_relative_squared_error
0.9224094776635903
total_cost
0
unweighted_recall
0.5467080622905579 [0.975439,0.117978]
area_under_roc_curve
0.7782651072124757 [0.778265,0.778265]
area_under_roc_curve
0.8396686159844056 [0.839669,0.839669]
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
0.7342621259029928 [0.734262,0.734262]
area_under_roc_curve
0.7765737874097007 [0.776574,0.776574]
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
0.08598910600519993
kb_relative_information_score
0.17975472416919946
kb_relative_information_score
-0.005481887234576262
kb_relative_information_score
0.03480705877873675
kb_relative_information_score
0.1799248214987999
kb_relative_information_score
0.10204284449828853
kb_relative_information_score
0.15462209267265642
kb_relative_information_score
0.0458483517673841
kb_relative_information_score
0.08992558946610199
kb_relative_information_score
0.11459288642612639
mean_absolute_error
0.3137394784015294
mean_absolute_error
0.28884101942936025
mean_absolute_error
0.3398392995202353
mean_absolute_error
0.32940676070032177
mean_absolute_error
0.2856095947927746
mean_absolute_error
0.3077875219509334
mean_absolute_error
0.2925477977220961
mean_absolute_error
0.3234898999058137
mean_absolute_error
0.3029665206114556
mean_absolute_error
0.3049362201488241
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
0.8616691401829022
relative_absolute_error
0.7932868191446465
relative_absolute_error
0.9333509397985073
relative_absolute_error
0.9046985151795854
relative_absolute_error
0.7844118796491167
relative_absolute_error
0.8453224017255014
relative_absolute_error
0.8034672927038669
relative_absolute_error
0.8884481651141064
relative_absolute_error
0.8445324909058652
relative_absolute_error
0.850023114930172
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
0.3942361873951436
root_mean_squared_error
0.36889974089375616
root_mean_squared_error
0.4166914012045692
root_mean_squared_error
0.42720738308387557
root_mean_squared_error
0.375299584343824
root_mean_squared_error
0.3967963185902158
root_mean_squared_error
0.37551060688987586
root_mean_squared_error
0.3970018312750236
root_mean_squared_error
0.39015403342411
root_mean_squared_error
0.3820834974484223
root_relative_squared_error
0.9230855503592507
root_relative_squared_error
0.86376144868961
root_relative_squared_error
0.9756633807574847
root_relative_squared_error
1.0002860593217382
root_relative_squared_error
0.8787463820929908
root_relative_squared_error
0.9290799775294447
root_relative_squared_error
0.8792404814914948
root_relative_squared_error
0.9295611758461567
root_relative_squared_error
0.9272737041307986
root_relative_squared_error
0.9080925727124751
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
5.149999997229315
usercpu_time_millis
6.3119999977061525
usercpu_time_millis
5.389999998442363
usercpu_time_millis
5.901999997149687
usercpu_time_millis
5.3520000001299195
usercpu_time_millis
5.231999995885417
usercpu_time_millis
5.15599999926053
usercpu_time_millis
5.4059999965829775
usercpu_time_millis
10.869999998249114
usercpu_time_millis
5.5219999921973795
usercpu_time_millis_testing
0.4960000005667098
usercpu_time_millis_testing
0.5220000020926818
usercpu_time_millis_testing
0.5359999995562248
usercpu_time_millis_testing
0.7340000011026859
usercpu_time_millis_testing
0.5160000000614673
usercpu_time_millis_testing
0.5959999980404973
usercpu_time_millis_testing
0.5620000010821968
usercpu_time_millis_testing
0.5719999971915968
usercpu_time_millis_testing
0.9720000016386621
usercpu_time_millis_testing
0.6319999956758693
usercpu_time_millis_training
4.6539999966626056
usercpu_time_millis_training
5.789999995613471
usercpu_time_millis_training
4.853999998886138
usercpu_time_millis_training
5.167999996047001
usercpu_time_millis_training
4.836000000068452
usercpu_time_millis_training
4.63599999784492
usercpu_time_millis_training
4.593999998178333
usercpu_time_millis_training
4.833999999391381
usercpu_time_millis_training
9.897999996610451
usercpu_time_millis_training
4.88999999652151
wall_clock_time_millis
2.5949478149414062
wall_clock_time_millis
3.2088756561279297
wall_clock_time_millis
2.827167510986328
wall_clock_time_millis
3.155231475830078
wall_clock_time_millis
2.7408599853515625
wall_clock_time_millis
2.6383399963378906
wall_clock_time_millis
2.6068687438964844
wall_clock_time_millis
2.9709339141845703
wall_clock_time_millis
5.728006362915039
wall_clock_time_millis
2.81524658203125
wall_clock_time_millis_testing
0.2510547637939453
wall_clock_time_millis_testing
0.26488304138183594
wall_clock_time_millis_testing
0.26988983154296875
wall_clock_time_millis_testing
0.38909912109375
wall_clock_time_millis_testing
0.2608299255371094
wall_clock_time_millis_testing
0.30112266540527344
wall_clock_time_millis_testing
0.28395652770996094
wall_clock_time_millis_testing
0.29087066650390625
wall_clock_time_millis_testing
0.5428791046142578
wall_clock_time_millis_testing
0.3192424774169922
wall_clock_time_millis_training
2.343893051147461
wall_clock_time_millis_training
2.9439926147460938
wall_clock_time_millis_training
2.5572776794433594
wall_clock_time_millis_training
2.766132354736328
wall_clock_time_millis_training
2.480030059814453
wall_clock_time_millis_training
2.337217330932617
wall_clock_time_millis_training
2.3229122161865234
wall_clock_time_millis_training
2.680063247680664
wall_clock_time_millis_training
5.185127258300781
wall_clock_time_millis_training
2.496004104614258
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]