10590787
32117
VAIBHAV JAISWAL
37
Supervised Classification
19168
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1)
8304359
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
19168
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"}}]
19168
verbose
false
19168
algorithm
"SAMME.R"
19169
base_estimator
null
19169
learning_rate
1.0
19169
n_estimators
50
19169
random_state
51066
19169
openml-python
Sklearn_1.0.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22109170
description
https://api.openml.org/data/download/22109170/description.xml
-1
22109171
predictions
https://api.openml.org/data/download/22109171/predictions.arff
area_under_roc_curve
0.814570895522388 [0.814571,0.814571]
average_cost
0
f_measure
0.7570767844194574 [0.821012,0.637795]
kappa
0.45961820851688684
kb_relative_information_score
-0.13984345884551438
mean_absolute_error
0.49118018187866586
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7604166666666666 [0.844,0.604478]
number_of_instances
768 [500,268]
precision
0.755886994949495 [0.799242,0.675]
predictive_accuracy
0.7604166666666667
prior_entropy
0.9331348051619819
relative_absolute_error
1.0807250578780547
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4916669326698426
root_relative_squared_error
1.0315248012347282
total_cost
0
unweighted_recall
0.7242388059701492 [0.844,0.604478]
area_under_roc_curve
0.8703703703703703 [0.87037,0.87037]
area_under_roc_curve
0.7651851851851852 [0.765185,0.765185]
area_under_roc_curve
0.8414814814814815 [0.841481,0.841481]
area_under_roc_curve
0.8507407407407407 [0.850741,0.850741]
area_under_roc_curve
0.8022222222222222 [0.802222,0.802222]
area_under_roc_curve
0.8392592592592591 [0.839259,0.839259]
area_under_roc_curve
0.8133333333333334 [0.813333,0.813333]
area_under_roc_curve
0.8437037037037037 [0.843704,0.843704]
area_under_roc_curve
0.7884615384615384 [0.788462,0.788462]
area_under_roc_curve
0.7338461538461538 [0.733846,0.733846]
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
0.7759425040978439 [0.834951,0.666667]
f_measure
0.7083516483516483 [0.788462,0.56]
f_measure
0.7902489667195549 [0.843137,0.692308]
f_measure
0.7387584892172047 [0.825688,0.577778]
f_measure
0.6906970580439968 [0.755102,0.571429]
f_measure
0.7902489667195549 [0.843137,0.692308]
f_measure
0.7759425040978439 [0.834951,0.666667]
f_measure
0.8144055944055943 [0.865385,0.72]
f_measure
0.7697435077054338 [0.838095,0.638298]
f_measure
0.7129331264669612 [0.77551,0.592593]
kappa
0.5024705435195743
kappa
0.3504601226993866
kappa
0.5357950263752826
kappa
0.4131568391496189
kappa
0.327021121631464
kappa
0.5357950263752826
kappa
0.5024705435195743
kappa
0.5866564417177915
kappa
0.47903225806451605
kappa
0.36858006042296065
kb_relative_information_score
-0.13123113839867956
kb_relative_information_score
-0.14502899725885532
kb_relative_information_score
-0.13456285894819878
kb_relative_information_score
-0.13818627545335244
kb_relative_information_score
-0.14248949326331495
kb_relative_information_score
-0.13394639433352148
kb_relative_information_score
-0.13483326320274874
kb_relative_information_score
-0.13394864078739166
kb_relative_information_score
-0.147194007918808
kb_relative_information_score
-0.15754160189380648
mean_absolute_error
0.4888695428323138
mean_absolute_error
0.4939133710468157
mean_absolute_error
0.49023359013846546
mean_absolute_error
0.49138371921049595
mean_absolute_error
0.4926997837926104
mean_absolute_error
0.48963419310410383
mean_absolute_error
0.49035454186010696
mean_absolute_error
0.49004159204815434
mean_absolute_error
0.4908533585611616
mean_absolute_error
0.4938485356792243
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.45242652084757423
mean_prior_absolute_error
0.45242652084757423
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.775208282283754 [0.811321,0.708333]
precision
0.7064642282033586 [0.759259,0.608696]
precision
0.7894305694305694 [0.826923,0.72]
precision
0.74851419766674 [0.762712,0.722222]
precision
0.6940028362442155 [0.770833,0.551724]
precision
0.7894305694305694 [0.826923,0.72]
precision
0.775208282283754 [0.811321,0.708333]
precision
0.8155467720685112 [0.833333,0.782609]
precision
0.7706766917293233 [0.8,0.714286]
precision
0.7163220551378445 [0.791667,0.571429]
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7763157894736843
predictive_accuracy
0.7105263157894737
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
relative_absolute_error
1.074436564278009
relative_absolute_error
1.0855218804672746
relative_absolute_error
1.0774344648889638
relative_absolute_error
1.079962216406208
relative_absolute_error
1.0828546606762737
relative_absolute_error
1.0761171112111159
relative_absolute_error
1.0777002923559218
relative_absolute_error
1.0770124918462036
relative_absolute_error
1.084934980472848
relative_absolute_error
1.0915552314529444
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4744699650121647
root_mean_prior_squared_error
0.4744699650121647
root_mean_squared_error
0.49006616095573885
root_mean_squared_error
0.49540658006572225
root_mean_squared_error
0.49042537393439617
root_mean_squared_error
0.4915219690845878
root_mean_squared_error
0.4928173144814687
root_mean_squared_error
0.4901091852833311
root_mean_squared_error
0.49055553254200285
root_mean_squared_error
0.49021109086031994
root_mean_squared_error
0.49106593863094916
root_mean_squared_error
0.4944849983380901
root_relative_squared_error
1.0270153813581309
root_relative_squared_error
1.038207120363647
root_relative_squared_error
1.0277681720701954
root_relative_squared_error
1.0300662701151064
root_relative_squared_error
1.0327808824527012
root_relative_squared_error
1.0271055460128862
root_relative_squared_error
1.02804094114237
root_relative_squared_error
1.027319106146909
root_relative_squared_error
1.0349779224030733
root_relative_squared_error
1.0421839838174207
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
0.7448148148148148 [0.86,0.62963]
unweighted_recall
0.6692592592592592 [0.82,0.518519]
unweighted_recall
0.7633333333333333 [0.86,0.666667]
unweighted_recall
0.6907407407407408 [0.9,0.481481]
unweighted_recall
0.6662962962962963 [0.74,0.592593]
unweighted_recall
0.7633333333333333 [0.86,0.666667]
unweighted_recall
0.7448148148148148 [0.86,0.62963]
unweighted_recall
0.7833333333333333 [0.9,0.666667]
unweighted_recall
0.7284615384615385 [0.88,0.576923]
unweighted_recall
0.6876923076923077 [0.76,0.615385]
usercpu_time_millis
156.25
usercpu_time_millis
171.875
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
171.875
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
171.875
usercpu_time_millis
156.25
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
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
156.25
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
140.625
usercpu_time_millis_training
156.25
usercpu_time_millis_training
140.625
wall_clock_time_millis
159.90376472473145
wall_clock_time_millis
172.90091514587402
wall_clock_time_millis
186.89274787902832
wall_clock_time_millis
187.9115104675293
wall_clock_time_millis
182.91497230529785
wall_clock_time_millis
172.90019989013672
wall_clock_time_millis
168.9000129699707
wall_clock_time_millis
162.92977333068848
wall_clock_time_millis
162.92810440063477
wall_clock_time_millis
166.8996810913086
wall_clock_time_millis_testing
13.991832733154297
wall_clock_time_millis_testing
11.993885040283203
wall_clock_time_millis_testing
17.988920211791992
wall_clock_time_millis_testing
12.011528015136719
wall_clock_time_millis_testing
14.99176025390625
wall_clock_time_millis_testing
13.99087905883789
wall_clock_time_millis_testing
12.992382049560547
wall_clock_time_millis_testing
14.992237091064453
wall_clock_time_millis_testing
10.994434356689453
wall_clock_time_millis_testing
11.992454528808594
wall_clock_time_millis_training
145.91193199157715
wall_clock_time_millis_training
160.90703010559082
wall_clock_time_millis_training
168.90382766723633
wall_clock_time_millis_training
175.89998245239258
wall_clock_time_millis_training
167.9232120513916
wall_clock_time_millis_training
158.90932083129883
wall_clock_time_millis_training
155.90763092041016
wall_clock_time_millis_training
147.93753623962402
wall_clock_time_millis_training
151.9336700439453
wall_clock_time_millis_training
154.9072265625
weighted_recall
0.7792207792207793 [0.86,0.62963]
weighted_recall
0.7142857142857143 [0.82,0.518519]
weighted_recall
0.7922077922077922 [0.86,0.666667]
weighted_recall
0.7532467532467533 [0.9,0.481481]
weighted_recall
0.6883116883116883 [0.74,0.592593]
weighted_recall
0.7922077922077922 [0.86,0.666667]
weighted_recall
0.7792207792207793 [0.86,0.62963]
weighted_recall
0.8181818181818182 [0.9,0.666667]
weighted_recall
0.7763157894736842 [0.88,0.576923]
weighted_recall
0.7105263157894737 [0.76,0.615385]