10591016
32117
VAIBHAV JAISWAL
10101
Supervised Classification
19170
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1)
8304400
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
copy
true
19075
with_mean
true
19075
with_std
true
19075
add_indicator
false
19084
copy
true
19084
fill_value
null
19084
missing_values
NaN
19084
strategy
"mean"
19084
verbose
0
19084
memory
null
19156
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}]
19156
verbose
false
19156
memory
null
19170
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}]
19170
verbose
false
19170
ccp_alpha
0.0
19171
criterion
"friedman_mse"
19171
init
null
19171
learning_rate
0.1
19171
loss
"deviance"
19171
max_depth
3
19171
max_features
null
19171
max_leaf_nodes
null
19171
min_impurity_decrease
0.0
19171
min_samples_leaf
1
19171
min_samples_split
2
19171
min_weight_fraction_leaf
0.0
19171
n_estimators
100
19171
n_iter_no_change
null
19171
random_state
38650
19171
subsample
1.0
19171
tol
0.0001
19171
validation_fraction
0.1
19171
verbose
0
19171
warm_start
false
19171
openml-python
Sklearn_1.0.2.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22109628
description
https://api.openml.org/data/download/22109628/description.xml
-1
22109629
predictions
https://api.openml.org/data/download/22109629/predictions.arff
area_under_roc_curve
0.713591563177607 [0.713592,0.713592]
average_cost
0
f_measure
0.7454322638146167 [0.861111,0.375]
kappa
0.2519647983434513
kb_relative_information_score
0.12568088966849364
mean_absolute_error
0.3014719999727412
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7727272727272727 [0.924561,0.286517]
number_of_instances
748 [570,178]
precision
0.7431636292655226 [0.80581,0.542553]
predictive_accuracy
0.7727272727272727
prior_entropy
0.7916465694609683
relative_absolute_error
0.8303994342985063
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.4021128779520251
root_relative_squared_error
0.944281684563131
total_cost
0
unweighted_recall
0.605539128720678 [0.924561,0.286517]
area_under_roc_curve
0.7612085769980507 [0.761209,0.761209]
area_under_roc_curve
0.8070175438596491 [0.807018,0.807018]
area_under_roc_curve
0.6461988304093567 [0.646199,0.646199]
area_under_roc_curve
0.6218323586744638 [0.621832,0.621832]
area_under_roc_curve
0.7777777777777778 [0.777778,0.777778]
area_under_roc_curve
0.7110136452241715 [0.711014,0.711014]
area_under_roc_curve
0.6954191033138402 [0.695419,0.695419]
area_under_roc_curve
0.7324561403508771 [0.732456,0.732456]
area_under_roc_curve
0.7352941176470589 [0.735294,0.735294]
area_under_roc_curve
0.6965944272445821 [0.696594,0.696594]
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
0.7631850117096018 [0.868852,0.428571]
f_measure
0.7438482384823847 [0.861789,0.37037]
f_measure
0.6880383430332078 [0.850394,0.173913]
f_measure
0.7490677966101694 [0.847458,0.4375]
f_measure
0.7631850117096018 [0.868852,0.428571]
f_measure
0.73344 [0.864,0.32]
f_measure
0.7420000000000001 [0.85,0.4]
f_measure
0.7434920634920635 [0.873016,0.333333]
f_measure
0.7730340510001528 [0.864407,0.466667]
f_measure
0.7373236651285431 [0.861789,0.32]
kappa
0.3103448275862068
kappa
0.2504409171075837
kappa
0.07766990291262131
kappa
0.2879746835443037
kappa
0.3103448275862068
kappa
0.21441774491682059
kappa
0.25742574257425754
kappa
0.24242424242424218
kappa
0.3340832395950506
kappa
0.20278833967046886
kb_relative_information_score
0.17999718026359485
kb_relative_information_score
0.20551235900347722
kb_relative_information_score
0.025565715613576637
kb_relative_information_score
0.07376687034772965
kb_relative_information_score
0.219890482078201
kb_relative_information_score
0.09453760882973908
kb_relative_information_score
0.0912845869124272
kb_relative_information_score
0.1095736174694404
kb_relative_information_score
0.14579789070694893
kb_relative_information_score
0.11107357000243838
mean_absolute_error
0.2899176266987894
mean_absolute_error
0.2849327453216378
mean_absolute_error
0.32909676406138805
mean_absolute_error
0.321828824862702
mean_absolute_error
0.27779561052793506
mean_absolute_error
0.3056966955481369
mean_absolute_error
0.31061756672791363
mean_absolute_error
0.3049742227234015
mean_absolute_error
0.28604107145025304
mean_absolute_error
0.30364206022836127
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
0.7636923076923077 [0.815385,0.6]
precision
0.7436363636363637 [0.80303,0.555556]
precision
0.6822857142857144 [0.771429,0.4]
precision
0.7429508196721312 [0.819672,0.5]
precision
0.7636923076923077 [0.815385,0.6]
precision
0.740672268907563 [0.794118,0.571429]
precision
0.7352380952380952 [0.809524,0.5]
precision
0.7657971014492753 [0.797101,0.666667]
precision
0.767697079172489 [0.836066,0.538462]
precision
0.7334152334152334 [0.80303,0.5]
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.76
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.76
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.7837837837837838
predictive_accuracy
0.7702702702702703
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
0.7962436649483372
relative_absolute_error
0.7825529478219871
relative_absolute_error
0.9038471255531014
relative_absolute_error
0.8838861090047837
relative_absolute_error
0.7629511787606239
relative_absolute_error
0.8395800558850979
relative_absolute_error
0.8530949723375387
relative_absolute_error
0.8375958218930387
relative_absolute_error
0.7973520575333518
relative_absolute_error
0.846415587276446
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
0.39230804604485425
root_mean_squared_error
0.378779097709922
root_mean_squared_error
0.4300419224139439
root_mean_squared_error
0.43483975656040086
root_mean_squared_error
0.3839224771673963
root_mean_squared_error
0.40397214891875827
root_mean_squared_error
0.4067109414410726
root_mean_squared_error
0.394987756525573
root_mean_squared_error
0.387747545046826
root_mean_squared_error
0.40378989522129777
root_relative_squared_error
0.9185708977819155
root_relative_squared_error
0.886893499514527
root_relative_squared_error
1.0069230002753309
root_relative_squared_error
1.018156903999079
root_relative_squared_error
0.8989364813843024
root_relative_squared_error
0.9458818478292607
root_relative_squared_error
0.9522946021212618
root_relative_squared_error
0.9248453142433816
root_relative_squared_error
0.9215542364324443
root_relative_squared_error
0.9596818685850395
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
0.631578947368421 [0.929825,0.333333]
unweighted_recall
0.6038011695906433 [0.929825,0.277778]
unweighted_recall
0.5292397660818713 [0.947368,0.111111]
unweighted_recall
0.6330409356725146 [0.877193,0.388889]
unweighted_recall
0.631578947368421 [0.929825,0.333333]
unweighted_recall
0.5847953216374269 [0.947368,0.222222]
unweighted_recall
0.6140350877192983 [0.894737,0.333333]
unweighted_recall
0.5935672514619883 [0.964912,0.222222]
unweighted_recall
0.653250773993808 [0.894737,0.411765]
unweighted_recall
0.5825593395252838 [0.929825,0.235294]
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
93.75
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
125
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
125
usercpu_time_millis_training
109.375
usercpu_time_millis_training
93.75
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
wall_clock_time_millis
154.91104125976562
wall_clock_time_millis
136.92283630371094
wall_clock_time_millis
131.92129135131836
wall_clock_time_millis
123.9323616027832
wall_clock_time_millis
123.92616271972656
wall_clock_time_millis
123.9478588104248
wall_clock_time_millis
118.91293525695801
wall_clock_time_millis
119.93050575256348
wall_clock_time_millis
124.93348121643066
wall_clock_time_millis
121.93155288696289
wall_clock_time_millis_testing
3.996133804321289
wall_clock_time_millis_testing
2.9981136322021484
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
3.0002593994140625
wall_clock_time_millis_testing
5.002021789550781
wall_clock_time_millis_testing
2.978801727294922
wall_clock_time_millis_training
150.91490745544434
wall_clock_time_millis_training
133.9247226715088
wall_clock_time_millis_training
128.9224624633789
wall_clock_time_millis_training
120.93400955200195
wall_clock_time_millis_training
120.92757225036621
wall_clock_time_millis_training
121.94943428039551
wall_clock_time_millis_training
115.91410636901855
wall_clock_time_millis_training
116.93024635314941
wall_clock_time_millis_training
119.93145942687988
wall_clock_time_millis_training
118.95275115966797
weighted_recall
0.7866666666666666 [0.929825,0.333333]
weighted_recall
0.7733333333333333 [0.929825,0.277778]
weighted_recall
0.7466666666666667 [0.947368,0.111111]
weighted_recall
0.76 [0.877193,0.388889]
weighted_recall
0.7866666666666666 [0.929825,0.333333]
weighted_recall
0.7733333333333333 [0.947368,0.222222]
weighted_recall
0.76 [0.894737,0.333333]
weighted_recall
0.7866666666666666 [0.964912,0.222222]
weighted_recall
0.7837837837837838 [0.894737,0.411765]
weighted_recall
0.7702702702702703 [0.929825,0.235294]