10591126
32117
VAIBHAV JAISWAL
146065
Supervised Classification
precision
19174
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8304422
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
19174
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"}}]
19174
verbose
false
19174
categorical_features
null
19175
early_stopping
"auto"
19175
l2_regularization
0.0
19175
learning_rate
0.1
19175
loss
"auto"
19175
max_bins
255
19175
max_depth
null
19175
max_iter
100
19175
max_leaf_nodes
31
19175
min_samples_leaf
20
19175
monotonic_cst
null
19175
n_iter_no_change
10
19175
random_state
9324
19175
scoring
"loss"
19175
tol
1e-07
19175
validation_fraction
0.1
19175
verbose
0
19175
warm_start
false
19175
openml-python
Sklearn_1.0.2.
334
monks-problems-2
https://www.openml.org/data/download/52237/php4fATLZ
-1
22109848
description
https://api.openml.org/data/download/22109848/description.xml
-1
22109849
predictions
https://api.openml.org/data/download/22109849/predictions.arff
area_under_roc_curve
0.9894064151407154 [0.989406,0.989406]
average_cost
0
f_measure
0.9393112763685618 [0.955556,0.908163]
kappa
0.8638902868646201
kb_relative_information_score
0.6977700170072682
mean_absolute_error
0.15501241571938792
mean_prior_absolute_error
0.4507164675789115
weighted_recall
0.940099833610649 [0.979747,0.864078]
number_of_instances
601 [395,206]
precision
0.9409137812588986 [0.93253,0.956989]
predictive_accuracy
0.940099833610649
prior_entropy
0.9274381882789376
relative_absolute_error
0.3439244555497594
root_mean_prior_squared_error
0.47463301952307513
root_mean_squared_error
0.22583840181286938
root_relative_squared_error
0.47581687856398674
total_cost
0
unweighted_recall
0.9219122526729753 [0.979747,0.864078]
area_under_roc_curve
0.9916666666666668 [0.991667,0.991667]
area_under_roc_curve
0.9925 [0.9925,0.9925]
area_under_roc_curve
0.9925 [0.9925,0.9925]
area_under_roc_curve
0.9787499999999999 [0.97875,0.97875]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9938949938949939 [0.993895,0.993895]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9938949938949939 [0.993895,0.993895]
area_under_roc_curve
0.9951159951159951 [0.995116,0.995116]
area_under_roc_curve
0.9474969474969475 [0.947497,0.947497]
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
0.9335865653738505 [0.95122,0.9]
f_measure
0.9312169312169313 [0.952381,0.888889]
f_measure
0.9340659340659342 [0.948718,0.904762]
f_measure
0.9323919554985025 [0.95122,0.894737]
f_measure
0.9661959777492513 [0.97561,0.947368]
f_measure
0.9314505776636715 [0.95122,0.894737]
f_measure
0.949002849002849 [0.962963,0.923077]
f_measure
0.9834189066747204 [0.987013,0.976744]
f_measure
0.9325 [0.95,0.9]
f_measure
0.8971758664955072 [0.926829,0.842105]
kappa
0.851400730816078
kappa
0.8421052631578948
kappa
0.853658536585366
kappa
0.8461538461538461
kappa
0.9230769230769231
kappa
0.8467432950191571
kappa
0.8863636363636362
kappa
0.9637681159420288
kappa
0.850187265917603
kappa
0.7701149425287357
kb_relative_information_score
0.7060846271998257
kb_relative_information_score
0.6826323974598396
kb_relative_information_score
0.717770824476316
kb_relative_information_score
0.6617225387078319
kb_relative_information_score
0.7549068406764801
kb_relative_information_score
0.6184382657158047
kb_relative_information_score
0.7641649323607544
kb_relative_information_score
0.7691380727696513
kb_relative_information_score
0.7397350243755048
kb_relative_information_score
0.5634499671953258
mean_absolute_error
0.15071939011760038
mean_absolute_error
0.16152785716443616
mean_absolute_error
0.14218771751949158
mean_absolute_error
0.16520304390880222
mean_absolute_error
0.13377043725346713
mean_absolute_error
0.19556576707163725
mean_absolute_error
0.12755826468676906
mean_absolute_error
0.12386069689716252
mean_absolute_error
0.13467573708851516
mean_absolute_error
0.21512679591269462
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
0.9350425243436461 [0.928571,0.947368]
precision
0.9393939393939393 [0.909091,1]
precision
0.9370015948963317 [0.973684,0.863636]
precision
0.933862433862434 [0.928571,0.944444]
precision
0.9682539682539683 [0.952381,1]
precision
0.9395348837209302 [0.906977,1]
precision
0.9535714285714286 [0.928571,1]
precision
0.9840909090909091 [1,0.954545]
precision
0.9340179717586651 [0.926829,0.947368]
precision
0.9038303693570452 [0.883721,0.941176]
predictive_accuracy
0.9344262295081966
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.9666666666666667
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.95
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.9
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
0.3340510560795185
relative_absolute_error
0.36074554766724043
relative_absolute_error
0.3175525691268642
relative_absolute_error
0.36895346472965795
relative_absolute_error
0.29875397653274294
relative_absolute_error
0.4317267345568265
relative_absolute_error
0.2815948512030813
relative_absolute_error
0.2734321809591394
relative_absolute_error
0.297307228498534
relative_absolute_error
0.47490923644647537
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
0.22068046183670045
root_mean_squared_error
0.22850852364875576
root_mean_squared_error
0.22304308220102867
root_mean_squared_error
0.24697360330129203
root_mean_squared_error
0.18360295987724118
root_mean_squared_error
0.25895795227729473
root_mean_squared_error
0.18721343340456498
root_mean_squared_error
0.18977922117841936
root_mean_squared_error
0.20512601215276616
root_mean_squared_error
0.290683784446829
root_relative_squared_error
0.4644651729136844
root_relative_squared_error
0.48463183205057303
root_relative_squared_error
0.4730404618054591
root_relative_squared_error
0.5237934582257249
root_relative_squared_error
0.38939395955306966
root_relative_squared_error
0.5428695701476323
root_relative_squared_error
0.39246709832401494
root_relative_squared_error
0.3978459179108753
root_relative_squared_error
0.4300183449250801
root_relative_squared_error
0.6093783941516484
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
0.9160714285714285 [0.975,0.857143]
unweighted_recall
0.9 [1,0.8]
unweighted_recall
0.9375 [0.925,0.95]
unweighted_recall
0.9125 [0.975,0.85]
unweighted_recall
0.95 [1,0.9]
unweighted_recall
0.9047619047619048 [1,0.809524]
unweighted_recall
0.9285714285714286 [1,0.857143]
unweighted_recall
0.9871794871794872 [0.974359,1]
unweighted_recall
0.9157509157509157 [0.974359,0.857143]
unweighted_recall
0.8681318681318682 [0.974359,0.761905]
usercpu_time_millis
2250
usercpu_time_millis
1750
usercpu_time_millis
2296.875
usercpu_time_millis
2312.5
usercpu_time_millis
1703.125
usercpu_time_millis
1968.75
usercpu_time_millis
2484.375
usercpu_time_millis
1890.625
usercpu_time_millis
1968.75
usercpu_time_millis
2328.125
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
2203.125
usercpu_time_millis_training
1687.5
usercpu_time_millis_training
2234.375
usercpu_time_millis_training
2265.625
usercpu_time_millis_training
1671.875
usercpu_time_millis_training
1968.75
usercpu_time_millis_training
2484.375
usercpu_time_millis_training
1890.625
usercpu_time_millis_training
1906.25
usercpu_time_millis_training
2312.5
wall_clock_time_millis
637.610912322998
wall_clock_time_millis
633.6367130279541
wall_clock_time_millis
645.6308364868164
wall_clock_time_millis
623.6436367034912
wall_clock_time_millis
653.62548828125
wall_clock_time_millis
637.6347541809082
wall_clock_time_millis
645.6298828125
wall_clock_time_millis
629.6403408050537
wall_clock_time_millis
652.6226997375488
wall_clock_time_millis
630.638599395752
wall_clock_time_millis_testing
10.994195938110352
wall_clock_time_millis_testing
10.99395751953125
wall_clock_time_millis_testing
10.993242263793945
wall_clock_time_millis_testing
10.994672775268555
wall_clock_time_millis_testing
10.993480682373047
wall_clock_time_millis_testing
9.993553161621094
wall_clock_time_millis_testing
10.993719100952148
wall_clock_time_millis_testing
10.994195938110352
wall_clock_time_millis_testing
10.993719100952148
wall_clock_time_millis_testing
10.994195938110352
wall_clock_time_millis_training
626.6167163848877
wall_clock_time_millis_training
622.6427555084229
wall_clock_time_millis_training
634.6375942230225
wall_clock_time_millis_training
612.6489639282227
wall_clock_time_millis_training
642.632007598877
wall_clock_time_millis_training
627.6412010192871
wall_clock_time_millis_training
634.6361637115479
wall_clock_time_millis_training
618.6461448669434
wall_clock_time_millis_training
641.6289806365967
wall_clock_time_millis_training
619.6444034576416
weighted_recall
0.9344262295081968 [0.975,0.857143]
weighted_recall
0.9333333333333333 [1,0.8]
weighted_recall
0.9333333333333333 [0.925,0.95]
weighted_recall
0.9333333333333333 [0.975,0.85]
weighted_recall
0.9666666666666667 [1,0.9]
weighted_recall
0.9333333333333333 [1,0.809524]
weighted_recall
0.95 [1,0.857143]
weighted_recall
0.9833333333333333 [0.974359,1]
weighted_recall
0.9333333333333333 [0.974359,0.857143]
weighted_recall
0.9 [0.974359,0.761905]