10558412
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)
8275911
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
100
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.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22041787
description
https://api.openml.org/data/download/22041787/description.xml
-1
22041788
predictions
https://api.openml.org/data/download/22041788/predictions.arff
area_under_roc_curve
0.7515966883500886 [0.751597,0.751597]
average_cost
0
f_measure
0.7073906545881211 [0.866719,0.197183]
kappa
0.12907179431310603
kb_relative_information_score
0.09816398549303555
mean_absolute_error
0.3089362585083656
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
0.8509596059429733
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.39279916284586563
root_relative_squared_error
0.9224102870720151
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
0.08597921449819156
kb_relative_information_score
0.17973832193545092
kb_relative_information_score
-0.0054770383669469035
kb_relative_information_score
0.03479511772641989
kb_relative_information_score
0.17990801251269992
kb_relative_information_score
0.10203294082900534
kb_relative_information_score
0.15460403598463646
kb_relative_information_score
0.04584557010804065
kb_relative_information_score
0.08992105778216765
kb_relative_information_score
0.11457578310112274
mean_absolute_error
0.3137463822429863
mean_absolute_error
0.288849398324038
mean_absolute_error
0.3398405849319559
mean_absolute_error
0.32941269947281715
mean_absolute_error
0.28561821079680705
mean_absolute_error
0.3077947235619216
mean_absolute_error
0.29255662758533685
mean_absolute_error
0.3234952056642072
mean_absolute_error
0.30297193785572973
mean_absolute_error
0.3049440610733535
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
0.8616881012239622
relative_absolute_error
0.7933098313425677
relative_absolute_error
0.933354470114863
relative_absolute_error
0.9047148257089965
relative_absolute_error
0.7844355430555338
relative_absolute_error
0.8453421805750736
relative_absolute_error
0.8034915434634631
relative_absolute_error
0.8884627371032492
relative_absolute_error
0.844547591712355
relative_absolute_error
0.8500449718518888
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
0.3942372307791237
root_mean_squared_error
0.3689037348523184
root_mean_squared_error
0.4166878453672733
root_mean_squared_error
0.4272050505128863
root_mean_squared_error
0.37530078301028846
root_mean_squared_error
0.39679672073940236
root_mean_squared_error
0.3755142281827956
root_mean_squared_error
0.3970007118595422
root_mean_squared_error
0.39015275037862124
root_mean_squared_error
0.3820859186828833
root_relative_squared_error
0.9230879933939246
root_relative_squared_error
0.8637708003563404
root_relative_squared_error
0.9756550549311597
root_relative_squared_error
1.0002805977161215
root_relative_squared_error
0.8787491887143218
root_relative_squared_error
0.9290809191429115
root_relative_squared_error
0.8792489605790945
root_relative_squared_error
0.9295585547872872
root_relative_squared_error
0.9272706547343011
root_relative_squared_error
0.908098327226987
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
18.845999999030028
usercpu_time_millis
21.27400000608759
usercpu_time_millis
20.909999999275897
usercpu_time_millis
21.575999999186024
usercpu_time_millis
20.629999999073334
usercpu_time_millis
19.69200000166893
usercpu_time_millis
24.874000002455432
usercpu_time_millis
20.709999997052364
usercpu_time_millis
21.290000004228204
usercpu_time_millis
21.99799999652896
usercpu_time_millis_testing
1.5639999983250163
usercpu_time_millis_testing
1.2260000003152527
usercpu_time_millis_testing
4.216000001179054
usercpu_time_millis_testing
1.5700000003562309
usercpu_time_millis_testing
0.8200000011129305
usercpu_time_millis_testing
1.0860000038519502
usercpu_time_millis_testing
1.5940000012051314
usercpu_time_millis_testing
1.2499999938881956
usercpu_time_millis_testing
0.8159999997587875
usercpu_time_millis_testing
2.5180000011459924
usercpu_time_millis_training
17.28200000070501
usercpu_time_millis_training
20.048000005772337
usercpu_time_millis_training
16.693999998096842
usercpu_time_millis_training
20.005999998829793
usercpu_time_millis_training
19.809999997960404
usercpu_time_millis_training
18.60599999781698
usercpu_time_millis_training
23.2800000012503
usercpu_time_millis_training
19.46000000316417
usercpu_time_millis_training
20.474000004469417
usercpu_time_millis_training
19.47999999538297
wall_clock_time_millis
10.052919387817383
wall_clock_time_millis
7.122993469238281
wall_clock_time_millis
15.146017074584961
wall_clock_time_millis
7.567167282104492
wall_clock_time_millis
11.816263198852539
wall_clock_time_millis
5.203008651733398
wall_clock_time_millis
15.22374153137207
wall_clock_time_millis
5.487918853759766
wall_clock_time_millis
8.661031723022461
wall_clock_time_millis
8.083105087280273
wall_clock_time_millis_testing
0.4119873046875
wall_clock_time_millis_testing
0.6189346313476562
wall_clock_time_millis_testing
1.3058185577392578
wall_clock_time_millis_testing
0.4150867462158203
wall_clock_time_millis_testing
0.4382133483886719
wall_clock_time_millis_testing
0.2751350402832031
wall_clock_time_millis_testing
0.39887428283691406
wall_clock_time_millis_testing
0.36787986755371094
wall_clock_time_millis_testing
0.40984153747558594
wall_clock_time_millis_testing
1.6889572143554688
wall_clock_time_millis_training
9.640932083129883
wall_clock_time_millis_training
6.504058837890625
wall_clock_time_millis_training
13.840198516845703
wall_clock_time_millis_training
7.152080535888672
wall_clock_time_millis_training
11.378049850463867
wall_clock_time_millis_training
4.927873611450195
wall_clock_time_millis_training
14.824867248535156
wall_clock_time_millis_training
5.120038986206055
wall_clock_time_millis_training
8.251190185546875
wall_clock_time_millis_training
6.394147872924805
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]