10589146
32117
VAIBHAV JAISWAL
10101
Supervised Classification
19172
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1)
8304108
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
19172
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"}}]
19172
verbose
false
19172
bootstrap
false
19173
ccp_alpha
0.0
19173
class_weight
null
19173
criterion
"gini"
19173
max_depth
null
19173
max_features
"auto"
19173
max_leaf_nodes
null
19173
max_samples
null
19173
min_impurity_decrease
0.0
19173
min_samples_leaf
1
19173
min_samples_split
2
19173
min_weight_fraction_leaf
0.0
19173
n_estimators
100
19173
n_jobs
null
19173
oob_score
false
19173
random_state
0
19173
verbose
0
19173
warm_start
false
19173
openml-python
Sklearn_1.0.2.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22105859
description
https://api.openml.org/data/download/22105859/description.xml
-1
22105860
predictions
https://api.openml.org/data/download/22105860/predictions.arff
area_under_roc_curve
0.6422786804630998 [0.642273,0.642297]
average_cost
0
f_measure
0.7179614106084694 [0.836667,0.337838]
kappa
0.18278706800445918
kb_relative_information_score
0.0737626889065548
mean_absolute_error
0.3052563990632952
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7379679144385026 [0.880702,0.280899]
number_of_instances
748 [570,178]
precision
0.7080403810214378 [0.796825,0.423729]
predictive_accuracy
0.7379679144385026
prior_entropy
0.7916465694609683
relative_absolute_error
0.840823496447694
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.45784625027216
root_relative_squared_error
1.0751603646215202
total_cost
0
unweighted_recall
0.5808003153952297 [0.880702,0.280899]
area_under_roc_curve
0.7080896686159844 [0.70809,0.70809]
area_under_roc_curve
0.6535087719298246 [0.653509,0.653509]
area_under_roc_curve
0.557504873294347 [0.557505,0.557505]
area_under_roc_curve
0.6390058479532164 [0.638889,0.639376]
area_under_roc_curve
0.729044834307992 [0.729045,0.729045]
area_under_roc_curve
0.601364522417154 [0.601365,0.601365]
area_under_roc_curve
0.6481481481481481 [0.648148,0.648148]
area_under_roc_curve
0.6135477582846004 [0.613548,0.613548]
area_under_roc_curve
0.7260061919504642 [0.726006,0.726006]
area_under_roc_curve
0.5727554179566563 [0.572755,0.572755]
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
0.6933050847457627 [0.813559,0.3125]
f_measure
0.7039812646370024 [0.836066,0.285714]
f_measure
0.6651923624964378 [0.809917,0.206897]
f_measure
0.7033017077798862 [0.823529,0.322581]
f_measure
0.804119241192412 [0.894309,0.518519]
f_measure
0.6534417344173442 [0.813008,0.148148]
f_measure
0.7133333333333334 [0.833333,0.333333]
f_measure
0.7420000000000001 [0.85,0.4]
f_measure
0.8180761406567857 [0.888889,0.580645]
f_measure
0.6781347103927748 [0.803419,0.258065]
kappa
0.12974683544303786
kappa
0.1379310344827585
kappa
0.030354131534570148
kappa
0.15185783521809348
kappa
0.42680776014109345
kappa
-0.01410934744268069
kappa
0.17491749174917487
kappa
0.25742574257425754
kappa
0.47084708470847086
kappa
0.0638063806380636
kb_relative_information_score
0.11175408501268859
kb_relative_information_score
0.06633082523395192
kb_relative_information_score
-0.025767605236550906
kb_relative_information_score
0.04183498479441616
kb_relative_information_score
0.25908565612159007
kb_relative_information_score
-0.016271777980192016
kb_relative_information_score
0.049756007711808256
kb_relative_information_score
0.07410194306811177
kb_relative_information_score
0.2526748753808987
kb_relative_information_score
-0.07482080815389122
mean_absolute_error
0.28775215780388197
mean_absolute_error
0.3069581351981351
mean_absolute_error
0.3360269841269841
mean_absolute_error
0.31597027846705267
mean_absolute_error
0.25728253968253956
mean_absolute_error
0.33790945533769057
mean_absolute_error
0.30532619047619053
mean_absolute_error
0.3128120247568523
mean_absolute_error
0.2489179639914934
mean_absolute_error
0.343365198990199
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
0.6837470725995316 [0.786885,0.357143]
precision
0.6923076923076924 [0.784615,0.4]
precision
0.6473295454545455 [0.765625,0.272727]
precision
0.6929528535980148 [0.790323,0.384615]
precision
0.82 [0.833333,0.777778]
precision
0.629090909090909 [0.757576,0.222222]
precision
0.7031746031746031 [0.793651,0.416667]
precision
0.7352380952380952 [0.809524,0.5]
precision
0.8152509652509653 [0.866667,0.642857]
precision
0.669015444015444 [0.783333,0.285714]
predictive_accuracy
0.7066666666666667
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.6933333333333332
predictive_accuracy
0.72
predictive_accuracy
0.8266666666666667
predictive_accuracy
0.6933333333333332
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.76
predictive_accuracy
0.8243243243243243
predictive_accuracy
0.6891891891891891
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
0.7902963173901837
relative_absolute_error
0.8430445341973092
relative_absolute_error
0.9228806140883182
relative_absolute_error
0.8677959163991847
relative_absolute_error
0.7066130978537593
relative_absolute_error
0.928050723243254
relative_absolute_error
0.8385624829981793
relative_absolute_error
0.8591219370427682
relative_absolute_error
0.6938697640144589
relative_absolute_error
0.9571455823182338
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
0.43623248428310624
root_mean_squared_error
0.44840758148145643
root_mean_squared_error
0.4995026186359661
root_mean_squared_error
0.4757893238018332
root_mean_squared_error
0.39146285332439895
root_mean_squared_error
0.47904724989046793
root_mean_squared_error
0.48491778691768167
root_mean_squared_error
0.44481346538956723
root_mean_squared_error
0.3992477169580835
root_mean_squared_error
0.5037578205208333
root_relative_squared_error
1.0214179106684782
root_relative_squared_error
1.0499253299702787
root_relative_squared_error
1.1695619640500496
root_relative_squared_error
1.1140383959133253
root_relative_squared_error
0.9165919186509633
root_relative_squared_error
1.121666677113049
root_relative_squared_error
1.1354122643420532
root_relative_squared_error
1.0415098756390624
root_relative_squared_error
0.9488865362236417
root_relative_squared_error
1.1972742563228485
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
0.5599415204678362 [0.842105,0.277778]
unweighted_recall
0.5584795321637427 [0.894737,0.222222]
unweighted_recall
0.5131578947368421 [0.859649,0.166667]
unweighted_recall
0.5687134502923976 [0.859649,0.277778]
unweighted_recall
0.6769005847953217 [0.964912,0.388889]
unweighted_recall
0.4941520467836257 [0.877193,0.111111]
unweighted_recall
0.577485380116959 [0.877193,0.277778]
unweighted_recall
0.6140350877192983 [0.894737,0.333333]
unweighted_recall
0.7208462332301342 [0.912281,0.529412]
unweighted_recall
0.5299277605779154 [0.824561,0.235294]
usercpu_time_millis
187.5
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
203.125
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
187.5
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
171.875
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
187.5
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
140.625
usercpu_time_millis_training
171.875
wall_clock_time_millis
178.8768768310547
wall_clock_time_millis
174.92151260375977
wall_clock_time_millis
181.87284469604492
wall_clock_time_millis
171.90265655517578
wall_clock_time_millis
190.90986251831055
wall_clock_time_millis
171.90051078796387
wall_clock_time_millis
173.87723922729492
wall_clock_time_millis
171.92316055297852
wall_clock_time_millis
169.90137100219727
wall_clock_time_millis
178.88212203979492
wall_clock_time_millis_testing
17.988920211791992
wall_clock_time_millis_testing
15.990734100341797
wall_clock_time_millis_testing
19.98758316040039
wall_clock_time_millis_testing
16.99066162109375
wall_clock_time_millis_testing
17.989158630371094
wall_clock_time_millis_testing
15.990018844604492
wall_clock_time_millis_testing
15.967607498168945
wall_clock_time_millis_testing
14.989852905273438
wall_clock_time_millis_testing
16.00956916809082
wall_clock_time_millis_testing
16.997337341308594
wall_clock_time_millis_training
160.8879566192627
wall_clock_time_millis_training
158.93077850341797
wall_clock_time_millis_training
161.88526153564453
wall_clock_time_millis_training
154.91199493408203
wall_clock_time_millis_training
172.92070388793945
wall_clock_time_millis_training
155.91049194335938
wall_clock_time_millis_training
157.90963172912598
wall_clock_time_millis_training
156.93330764770508
wall_clock_time_millis_training
153.89180183410645
wall_clock_time_millis_training
161.88478469848633
weighted_recall
0.7066666666666667 [0.842105,0.277778]
weighted_recall
0.7333333333333333 [0.894737,0.222222]
weighted_recall
0.6933333333333334 [0.859649,0.166667]
weighted_recall
0.72 [0.859649,0.277778]
weighted_recall
0.8266666666666667 [0.964912,0.388889]
weighted_recall
0.6933333333333334 [0.877193,0.111111]
weighted_recall
0.7333333333333333 [0.877193,0.277778]
weighted_recall
0.76 [0.894737,0.333333]
weighted_recall
0.8243243243243243 [0.912281,0.529412]
weighted_recall
0.6891891891891891 [0.824561,0.235294]