10560121
6691
Sergey Redyuk
10101
Supervised Classification
18903
sklearn.pipeline.Pipeline(votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(DecisionTreeClassifier=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier),ExtraTreeClassifier=sklearn.tree.tree.ExtraTreeClassifier,KNN=sklearn.neighbors.classification.KNeighborsClassifier,RFC=sklearn.ensemble.forest.RandomForestClassifier))(2)
8276544
Python_3.6.14. Sklearn_0.18.1. NumPy_1.16.6. SciPy_0.19.0.
bootstrap
true
18875
class_weight
null
18875
criterion
"gini"
18875
max_depth
null
18875
max_features
"auto"
18875
max_leaf_nodes
null
18875
min_impurity_split
1e-07
18875
min_samples_leaf
1
18875
min_samples_split
2
18875
min_weight_fraction_leaf
0.0
18875
n_estimators
10
18875
n_jobs
1
18875
oob_score
false
18875
random_state
2992
18875
verbose
0
18875
warm_start
false
18875
copy
true
18877
with_mean
true
18877
with_std
true
18877
class_weight
null
18895
criterion
"gini"
18895
max_depth
null
18895
max_features
null
18895
max_leaf_nodes
null
18895
min_impurity_split
1e-07
18895
min_samples_leaf
1
18895
min_samples_split
2
18895
min_weight_fraction_leaf
0.0
18895
presort
false
18895
random_state
13646
18895
splitter
"best"
18895
class_weight
null
18896
criterion
"gini"
18896
max_depth
1000
18896
max_features
"auto"
18896
max_leaf_nodes
null
18896
min_impurity_split
1e-07
18896
min_samples_leaf
1
18896
min_samples_split
2
18896
min_weight_fraction_leaf
0.0
18896
random_state
10958
18896
splitter
"random"
18896
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "votingclassifier", "step_name": "votingclassifier"}}]
18903
estimators
[{"oml-python:serialized_object": "component_reference", "value": {"key": "DecisionTreeClassifier", "step_name": "DecisionTreeClassifier"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "ExtraTreeClassifier", "step_name": "ExtraTreeClassifier"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "KNN", "step_name": "KNN"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "RFC", "step_name": "RFC"}}]
18904
n_jobs
1
18904
voting
"soft"
18904
weights
null
18904
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
18905
algorithm
"auto"
18906
leaf_size
30
18906
metric
"minkowski"
18906
metric_params
null
18906
n_jobs
1
18906
n_neighbors
1
18906
p
2
18906
weights
"uniform"
18906
openml-python
Sklearn_0.18.1.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22046316
description
https://api.openml.org/data/download/22046316/description.xml
-1
22046317
predictions
https://api.openml.org/data/download/22046317/predictions.arff
area_under_roc_curve
0.6537737139369483 [0.653775,0.65377]
average_cost
0
f_measure
0.7106333003389369 [0.820205,0.359756]
kappa
0.1816363105905888
kb_relative_information_score
0.03779273463269923
mean_absolute_error
0.30965920955278825
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7192513368983956 [0.840351,0.331461]
number_of_instances
748 [570,178]
precision
0.70399096214953 [0.801003,0.393333]
predictive_accuracy
0.7192513368983957
prior_entropy
0.7916465694609683
relative_absolute_error
0.8529509621497465
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.4635279194553242
root_relative_squared_error
1.088502628551821
total_cost
0
unweighted_recall
0.5859057756751429 [0.840351,0.331461]
area_under_roc_curve
0.6530214424951267 [0.653021,0.653021]
area_under_roc_curve
0.6598440545808967 [0.659844,0.659844]
area_under_roc_curve
0.6164717348927875 [0.616472,0.616472]
area_under_roc_curve
0.7051656920077972 [0.705166,0.705166]
area_under_roc_curve
0.7183235867446394 [0.718324,0.718324]
area_under_roc_curve
0.6988304093567252 [0.69883,0.69883]
area_under_roc_curve
0.6135477582846004 [0.613548,0.613548]
area_under_roc_curve
0.5628654970760234 [0.562865,0.562865]
area_under_roc_curve
0.7533539731682146 [0.753354,0.753354]
area_under_roc_curve
0.5877192982456141 [0.587719,0.587719]
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
0.6733468559837729 [0.793103,0.294118]
f_measure
0.7033017077798862 [0.823529,0.322581]
f_measure
0.6750447275684467 [0.806723,0.258065]
f_measure
0.7277890466531441 [0.827586,0.411765]
f_measure
0.752533485323454 [0.859504,0.413793]
f_measure
0.7315586879913256 [0.840336,0.387097]
f_measure
0.6833255633255633 [0.803419,0.30303]
f_measure
0.7172173913043478 [0.817391,0.4]
f_measure
0.7764791818845873 [0.846847,0.540541]
f_measure
0.6585122672079196 [0.782609,0.242424]
kappa
0.08814589665653506
kappa
0.15185783521809348
kappa
0.07108239095315017
kappa
0.24012158054711227
kappa
0.28330522765598654
kappa
0.23263327948303714
kappa
0.10852713178294573
kappa
0.217585692995529
kappa
0.38872691933916426
kappa
0.025289778714436325
kb_relative_information_score
-0.006273330130805224
kb_relative_information_score
0.051841725295196144
kb_relative_information_score
-0.06264883114828948
kb_relative_information_score
0.06884955395853062
kb_relative_information_score
0.19933200196355344
kb_relative_information_score
0.028353396255771345
kb_relative_information_score
0.04764530302899573
kb_relative_information_score
-0.1029941665224866
kb_relative_information_score
0.24497051508924209
kb_relative_information_score
-0.08833950369067559
mean_absolute_error
0.32391045107704086
mean_absolute_error
0.31235190773861615
mean_absolute_error
0.3402450845979412
mean_absolute_error
0.2993526328691215
mean_absolute_error
0.2679725091271457
mean_absolute_error
0.3124619178447527
mean_absolute_error
0.3060209272882784
mean_absolute_error
0.346584692750165
mean_absolute_error
0.2452271779898489
mean_absolute_error
0.3420374098277949
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
0.667542372881356 [0.779661,0.3125]
precision
0.6929528535980148 [0.790323,0.384615]
precision
0.6622332506203473 [0.774194,0.307692]
precision
0.7233050847457627 [0.813559,0.4375]
precision
0.7484090909090908 [0.8125,0.545455]
precision
0.7236724565756822 [0.806452,0.461538]
precision
0.6753333333333333 [0.783333,0.333333]
precision
0.714685598377282 [0.810345,0.411765]
precision
0.7852852852852852 [0.87037,0.5]
precision
0.6550559179869525 [0.775862,0.25]
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.6933333333333332
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.6933333333333332
predictive_accuracy
0.72
predictive_accuracy
0.7702702702702703
predictive_accuracy
0.6621621621621621
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
0.8896031870066666
relative_absolute_error
0.8578582496116961
relative_absolute_error
0.934465407384121
relative_absolute_error
0.8221564180893547
relative_absolute_error
0.7359725422783038
relative_absolute_error
0.8581603866396822
relative_absolute_error
0.8404705414757899
relative_absolute_error
0.9518768110539901
relative_absolute_error
0.6835815358330791
relative_absolute_error
0.9534443116746664
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
0.4846379915099721
root_mean_squared_error
0.45894371955992097
root_mean_squared_error
0.5000494568384508
root_mean_squared_error
0.4551259006077486
root_mean_squared_error
0.408497167412221
root_mean_squared_error
0.45473638620094525
root_mean_squared_error
0.48081457179542736
root_mean_squared_error
0.47537035402815325
root_mean_squared_error
0.3984673703764962
root_mean_squared_error
0.5060633383797796
root_relative_squared_error
1.13475713651216
root_relative_squared_error
1.074595203329906
root_relative_squared_error
1.1708423600645133
root_relative_squared_error
1.0656559592388866
root_relative_squared_error
0.9564769664915594
root_relative_squared_error
1.0647439295164185
root_relative_squared_error
1.1258047784986185
root_relative_squared_error
1.1130573978302305
root_relative_squared_error
0.9470318972779316
root_relative_squared_error
1.2027537487844346
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
0.5423976608187134 [0.807018,0.277778]
unweighted_recall
0.5687134502923976 [0.859649,0.277778]
unweighted_recall
0.5321637426900585 [0.842105,0.222222]
unweighted_recall
0.6154970760233918 [0.842105,0.388889]
unweighted_recall
0.6228070175438596 [0.912281,0.333333]
unweighted_recall
0.6052631578947368 [0.877193,0.333333]
unweighted_recall
0.5511695906432749 [0.824561,0.277778]
unweighted_recall
0.6067251461988304 [0.824561,0.388889]
unweighted_recall
0.7063983488132095 [0.824561,0.588235]
unweighted_recall
0.5123839009287926 [0.789474,0.235294]
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
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
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
wall_clock_time_millis
19.7908878326416
wall_clock_time_millis
20.132064819335938
wall_clock_time_millis
22.81641960144043
wall_clock_time_millis
33.50257873535156
wall_clock_time_millis
22.629737854003906
wall_clock_time_millis
21.420717239379883
wall_clock_time_millis
21.880626678466797
wall_clock_time_millis
20.978689193725586
wall_clock_time_millis
22.022724151611328
wall_clock_time_millis
31.765222549438477
wall_clock_time_millis_testing
2.1996498107910156
wall_clock_time_millis_testing
2.6502609252929688
wall_clock_time_millis_testing
2.4344921112060547
wall_clock_time_millis_testing
3.275156021118164
wall_clock_time_millis_testing
2.5169849395751953
wall_clock_time_millis_testing
2.492666244506836
wall_clock_time_millis_testing
2.4330615997314453
wall_clock_time_millis_testing
2.1529197692871094
wall_clock_time_millis_testing
2.146482467651367
wall_clock_time_millis_testing
3.010988235473633
wall_clock_time_millis_training
17.591238021850586
wall_clock_time_millis_training
17.48180389404297
wall_clock_time_millis_training
20.381927490234375
wall_clock_time_millis_training
30.2274227142334
wall_clock_time_millis_training
20.11275291442871
wall_clock_time_millis_training
18.928050994873047
wall_clock_time_millis_training
19.44756507873535
wall_clock_time_millis_training
18.825769424438477
wall_clock_time_millis_training
19.87624168395996
wall_clock_time_millis_training
28.754234313964844
weighted_recall
0.68 [0.807018,0.277778]
weighted_recall
0.72 [0.859649,0.277778]
weighted_recall
0.6933333333333334 [0.842105,0.222222]
weighted_recall
0.7333333333333333 [0.842105,0.388889]
weighted_recall
0.7733333333333333 [0.912281,0.333333]
weighted_recall
0.7466666666666667 [0.877193,0.333333]
weighted_recall
0.6933333333333334 [0.824561,0.277778]
weighted_recall
0.72 [0.824561,0.388889]
weighted_recall
0.7702702702702703 [0.824561,0.588235]
weighted_recall
0.6621621621621622 [0.789474,0.235294]