10591112
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)
8304420
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
60093
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
22109820
description
https://api.openml.org/data/download/22109820/description.xml
-1
22109821
predictions
https://api.openml.org/data/download/22109821/predictions.arff
area_under_roc_curve
0.9217033304657736 [0.921703,0.921703]
average_cost
0
f_measure
0.8449076623437185 [0.897436,0.744186]
kappa
0.6471498719043554
kb_relative_information_score
0.3132284827998523
mean_absolute_error
0.325301470718008
mean_prior_absolute_error
0.4507164675789115
weighted_recall
0.8535773710482529 [0.974684,0.621359]
number_of_instances
601 [395,206]
precision
0.8644395795511358 [0.831533,0.927536]
predictive_accuracy
0.8535773710482529
prior_entropy
0.9274381882789376
relative_absolute_error
0.7217430338532155
root_mean_prior_squared_error
0.47463301952307513
root_mean_squared_error
0.37315666803283226
root_relative_squared_error
0.786200396272031
total_cost
0
unweighted_recall
0.7980213838023842 [0.974684,0.621359]
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
0.8485958485958487 [0.848596,0.848596]
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
0.7954693729612179 [0.876404,0.645161]
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
0.5416666666666666
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
0.21098072970567094
kb_relative_information_score
0.3484759305746942
kb_relative_information_score
0.3469491632102031
kb_relative_information_score
0.38876663439719267
kb_relative_information_score
0.14813014035769084
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
0.3656653218133511
mean_absolute_error
0.32234548979648553
mean_absolute_error
0.3141996056688914
mean_absolute_error
0.301868512401458
mean_absolute_error
0.38996398191869736
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
0.857 [0.78,1]
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
0.8166666666666668
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
0.8072348125698353
relative_absolute_error
0.7116028934551732
relative_absolute_error
0.6936202167978814
relative_absolute_error
0.6663983634562659
relative_absolute_error
0.8608760062126095
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
0.4095314303239508
root_mean_squared_error
0.3570349893694331
root_mean_squared_error
0.36401938538316975
root_mean_squared_error
0.3480090501103405
root_mean_squared_error
0.427553747557298
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
0.8585260641227324
root_relative_squared_error
0.7484745284018178
root_relative_squared_error
0.7631163497028218
root_relative_squared_error
0.7295528937400045
root_relative_squared_error
0.8963073622967886
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
0.7380952380952381 [1,0.47619]
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
109.375
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
109.375
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
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_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
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
109.375
wall_clock_time_millis
110.95929145812988
wall_clock_time_millis
116.93334579467773
wall_clock_time_millis
110.93449592590332
wall_clock_time_millis
110.9156608581543
wall_clock_time_millis
115.936279296875
wall_clock_time_millis
114.93158340454102
wall_clock_time_millis
116.92976951599121
wall_clock_time_millis
108.91866683959961
wall_clock_time_millis
115.93365669250488
wall_clock_time_millis
112.93721199035645
wall_clock_time_millis_testing
3.0176639556884766
wall_clock_time_millis_testing
3.999948501586914
wall_clock_time_millis_testing
3.9949417114257812
wall_clock_time_millis_testing
3.9970874786376953
wall_clock_time_millis_testing
3.9970874786376953
wall_clock_time_millis_testing
4.9839019775390625
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
3.997325897216797
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
3.9968490600585938
wall_clock_time_millis_training
107.9416275024414
wall_clock_time_millis_training
112.93339729309082
wall_clock_time_millis_training
106.93955421447754
wall_clock_time_millis_training
106.9185733795166
wall_clock_time_millis_training
111.9391918182373
wall_clock_time_millis_training
109.94768142700195
wall_clock_time_millis_training
113.93094062805176
wall_clock_time_millis_training
104.92134094238281
wall_clock_time_millis_training
112.93482780456543
wall_clock_time_millis_training
108.94036293029785
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
0.8166666666666667 [1,0.47619]
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]