10591618
32117
VAIBHAV JAISWAL
146065
Supervised Classification
precision
19170
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1)
8304107
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
0
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.
334
monks-problems-2
https://www.openml.org/data/download/52237/php4fATLZ
-1
22110842
description
https://api.openml.org/data/download/22110842/description.xml
-1
22110843
predictions
https://api.openml.org/data/download/22110843/predictions.arff
area_under_roc_curve
0.9216664618409734 [0.921666,0.921666]
average_cost
0
f_measure
0.8433227412877028 [0.896149,0.742029]
kappa
0.643589623993017
kb_relative_information_score
0.3138920403034464
mean_absolute_error
0.3252610123967438
mean_prior_absolute_error
0.4507164675789115
weighted_recall
0.8519134775374376 [0.972152,0.621359]
number_of_instances
601 [395,206]
precision
0.8619126955712264 [0.831169,0.920863]
predictive_accuracy
0.8519134775374375
prior_entropy
0.9274381882789376
relative_absolute_error
0.7216532693911324
root_mean_prior_squared_error
0.47463301952307513
root_mean_squared_error
0.3731497148525574
root_relative_squared_error
0.7861857466796325
total_cost
0
unweighted_recall
0.796755561017574 [0.972152,0.621359]
area_under_roc_curve
0.9678571428571427 [0.967857,0.967857]
area_under_roc_curve
0.9324999999999999 [0.9325,0.9325]
area_under_roc_curve
0.8875 [0.8875,0.8875]
area_under_roc_curve
0.91375 [0.91375,0.91375]
area_under_roc_curve
0.9875 [0.9875,0.9875]
area_under_roc_curve
0.8437118437118438 [0.843712,0.843712]
area_under_roc_curve
0.9902319902319903 [0.990232,0.990232]
area_under_roc_curve
0.9328449328449329 [0.932845,0.932845]
area_under_roc_curve
0.9511599511599511 [0.95116,0.95116]
area_under_roc_curve
0.7667887667887668 [0.766789,0.766789]
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
0.9175391571766355 [0.938272,0.878049]
f_measure
0.7463162086817999 [0.860215,0.518519]
f_measure
0.789329685362517 [0.860465,0.647059]
f_measure
0.8244414044687643 [0.883721,0.705882]
f_measure
0.9131652661064427 [0.941176,0.857143]
f_measure
0.7801136363636363 [0.863636,0.625]
f_measure
0.8764705882352942 [0.917647,0.8]
f_measure
0.8571819425444597 [0.906977,0.764706]
f_measure
0.9135460761966787 [0.939759,0.864865]
f_measure
0.7904761904761904 [0.857143,0.666667]
kappa
0.8163756773028297
kappa
0.417910447761194
kappa
0.5135135135135136
kappa
0.5945945945945946
kappa
0.7999999999999999
kappa
0.506172839506173
kappa
0.7222222222222222
kappa
0.6787148594377511
kappa
0.8062015503875969
kappa
0.5294117647058825
kb_relative_information_score
0.38572788614067655
kb_relative_information_score
0.3160183336889434
kb_relative_information_score
0.27054368731935424
kb_relative_information_score
0.3122723473871584
kb_relative_information_score
0.40447675917552817
kb_relative_information_score
0.2140936268477129
kb_relative_information_score
0.3484759305746942
kb_relative_information_score
0.3469491632102031
kb_relative_information_score
0.38876663439719267
kb_relative_information_score
0.15161568425939115
mean_absolute_error
0.3015437406982446
mean_absolute_error
0.3159473198740817
mean_absolute_error
0.3328740599497273
mean_absolute_error
0.318725562602233
mean_absolute_error
0.29027707462390606
mean_absolute_error
0.3645712845125845
mean_absolute_error
0.32234548979648553
mean_absolute_error
0.3141996056688914
mean_absolute_error
0.301868512401458
mean_absolute_error
0.39065276170146734
mean_prior_absolute_error
0.4511866895033036
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
number_of_instances
61 [40,21]
number_of_instances
60 [40,20]
number_of_instances
60 [40,20]
number_of_instances
60 [40,20]
number_of_instances
60 [40,20]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
precision
0.9175929628148742 [0.926829,0.9]
precision
0.8364779874213837 [0.754717,1]
precision
0.798136645962733 [0.804348,0.785714]
precision
0.836438923395445 [0.826087,0.857143]
precision
0.9259259259259259 [0.888889,1]
precision
0.8222634508348794 [0.77551,0.909091]
precision
0.9010869565217391 [0.847826,1]
precision
0.8893617021276596 [0.829787,1]
precision
0.9261363636363636 [0.886364,1]
precision
0.8 [0.8,0.8]
predictive_accuracy
0.9180327868852458
predictive_accuracy
0.7833333333333333
predictive_accuracy
0.8
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.8
predictive_accuracy
0.8833333333333333
predictive_accuracy
0.8666666666666667
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.8
prior_entropy
0.9288422097579495
prior_entropy
0.9186141260139027
prior_entropy
0.9186141260139027
prior_entropy
0.9186141260139027
prior_entropy
0.9186141260139027
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
relative_absolute_error
0.6683347441614558
relative_absolute_error
0.705615681052115
relative_absolute_error
0.7434187338877236
relative_absolute_error
0.7118204231449863
relative_absolute_error
0.6482854666600563
relative_absolute_error
0.8048196396159191
relative_absolute_error
0.7116028934551732
relative_absolute_error
0.6936202167978814
relative_absolute_error
0.6663983634562659
relative_absolute_error
0.8623965414826453
root_mean_prior_squared_error
0.4751281144554437
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_squared_error
0.34610591019043435
root_mean_squared_error
0.37328131591739805
root_mean_squared_error
0.38594890234677015
root_mean_squared_error
0.3727302404150515
root_mean_squared_error
0.3378728183486713
root_mean_squared_error
0.40776959461924217
root_mean_squared_error
0.3570349893694331
root_mean_squared_error
0.36401938538316975
root_mean_squared_error
0.3480090501103405
root_mean_squared_error
0.4291738326862563
root_relative_squared_error
0.728447548483034
root_relative_squared_error
0.7916729105535157
root_relative_squared_error
0.8185389351590666
root_relative_squared_error
0.7905041632086204
root_relative_squared_error
0.716576871364766
root_relative_squared_error
0.8548326189773917
root_relative_squared_error
0.7484745284018178
root_relative_squared_error
0.7631163497028218
root_relative_squared_error
0.7295528937400045
root_relative_squared_error
0.8997036469438743
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
0.9035714285714285 [0.95,0.857143]
unweighted_recall
0.675 [1,0.35]
unweighted_recall
0.7375 [0.925,0.55]
unweighted_recall
0.7749999999999999 [0.95,0.6]
unweighted_recall
0.875 [1,0.75]
unweighted_recall
0.7252747252747253 [0.974359,0.47619]
unweighted_recall
0.8333333333333333 [1,0.666667]
unweighted_recall
0.8095238095238095 [1,0.619048]
unweighted_recall
0.8809523809523809 [1,0.761905]
unweighted_recall
0.7472527472527473 [0.923077,0.571429]
usercpu_time_millis
109.375
usercpu_time_millis
140.625
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
93.75
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis_testing
0
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
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_training
109.375
usercpu_time_millis_training
125
usercpu_time_millis_training
93.75
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
93.75
usercpu_time_millis_training
109.375
usercpu_time_millis_training
125
wall_clock_time_millis
110.93544960021973
wall_clock_time_millis
157.88817405700684
wall_clock_time_millis
105.9427261352539
wall_clock_time_millis
112.91265487670898
wall_clock_time_millis
106.93836212158203
wall_clock_time_millis
112.95723915100098
wall_clock_time_millis
107.91897773742676
wall_clock_time_millis
107.93876647949219
wall_clock_time_millis
112.91217803955078
wall_clock_time_millis
123.90756607055664
wall_clock_time_millis_testing
5.974531173706055
wall_clock_time_millis_testing
2.9969215393066406
wall_clock_time_millis_testing
3.9980411529541016
wall_clock_time_millis_testing
3.976583480834961
wall_clock_time_millis_testing
3.9801597595214844
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
5.000829696655273
wall_clock_time_millis_testing
2.9964447021484375
wall_clock_time_millis_testing
3.997325897216797
wall_clock_time_millis_testing
3.9970874786376953
wall_clock_time_millis_training
104.96091842651367
wall_clock_time_millis_training
154.8912525177002
wall_clock_time_millis_training
101.9446849822998
wall_clock_time_millis_training
108.93607139587402
wall_clock_time_millis_training
102.95820236206055
wall_clock_time_millis_training
109.95888710021973
wall_clock_time_millis_training
102.91814804077148
wall_clock_time_millis_training
104.94232177734375
wall_clock_time_millis_training
108.91485214233398
wall_clock_time_millis_training
119.91047859191895
weighted_recall
0.9180327868852459 [0.95,0.857143]
weighted_recall
0.7833333333333333 [1,0.35]
weighted_recall
0.8 [0.925,0.55]
weighted_recall
0.8333333333333334 [0.95,0.6]
weighted_recall
0.9166666666666666 [1,0.75]
weighted_recall
0.8 [0.974359,0.47619]
weighted_recall
0.8833333333333333 [1,0.666667]
weighted_recall
0.8666666666666667 [1,0.619048]
weighted_recall
0.9166666666666666 [1,0.761905]
weighted_recall
0.8 [0.923077,0.571429]