10591105
32117
VAIBHAV JAISWAL
146065
Supervised Classification
precision
19159
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1)
8304415
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
19159
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"}}]
19159
verbose
false
19159
alpha
0.0001
19160
average
false
19160
class_weight
null
19160
early_stopping
false
19160
epsilon
0.1
19160
eta0
0.0
19160
fit_intercept
true
19160
l1_ratio
0.15
19160
learning_rate
"optimal"
19160
loss
"hinge"
19160
max_iter
1000
19160
n_iter_no_change
5
19160
n_jobs
null
19160
penalty
"l2"
19160
power_t
0.5
19160
random_state
43217
19160
shuffle
true
19160
tol
0.001
19160
validation_fraction
0.1
19160
verbose
0
19160
warm_start
false
19160
openml-python
Sklearn_1.0.2.
334
monks-problems-2
https://www.openml.org/data/download/52237/php4fATLZ
-1
22109806
description
https://api.openml.org/data/download/22109806/description.xml
-1
22109807
predictions
https://api.openml.org/data/download/22109807/predictions.arff
area_under_roc_curve
0.4935111220351481 [0.493511,0.493511]
average_cost
0
f_measure
0.5533560508451527 [0.695858,0.280112]
kappa
-0.01386327086546982
kb_relative_information_score
0.009059819471788376
mean_absolute_error
0.4276206322795341
mean_prior_absolute_error
0.4507164675789115
weighted_recall
0.5723793677204659 [0.744304,0.242718]
number_of_instances
601 [395,206]
precision
0.5428928239541897 [0.653333,0.331126]
predictive_accuracy
0.5723793677204658
prior_entropy
0.9274381882789376
relative_absolute_error
0.9487575073006762
root_mean_prior_squared_error
0.47463301952307513
root_mean_squared_error
0.6539270848340311
root_relative_squared_error
1.377753038528832
total_cost
0
unweighted_recall
0.4935111220351481 [0.744304,0.242718]
area_under_roc_curve
0.4869047619047619 [0.486905,0.486905]
area_under_roc_curve
0.4375 [0.4375,0.4375]
area_under_roc_curve
0.4625 [0.4625,0.4625]
area_under_roc_curve
0.5125 [0.5125,0.5125]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5164835164835165 [0.516484,0.516484]
area_under_roc_curve
0.4725274725274725 [0.472527,0.472527]
area_under_roc_curve
0.6465201465201466 [0.64652,0.64652]
area_under_roc_curve
0.3956043956043956 [0.395604,0.395604]
area_under_roc_curve
0.4981684981684982 [0.498168,0.498168]
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
0.48741026465230897 [0.529412,0.407407]
f_measure
0.5020703933747411 [0.717391,0.071429]
f_measure
0.5321969696969697 [0.704545,0.1875]
f_measure
0.5804035278482542 [0.741573,0.258065]
f_measure
0.565826330532213 [0.705882,0.285714]
f_measure
0.5715458276333789 [0.72093,0.294118]
f_measure
0.5109656301145663 [0.744681,0.076923]
f_measure
0.68147576412473 [0.759494,0.536585]
f_measure
0.4502840909090909 [0.659091,0.0625]
f_measure
0.5377990430622009 [0.631579,0.363636]
kappa
-0.023060796645702365
kappa
-0.14705882352941183
kappa
-0.08333333333333331
kappa
0.02816901408450722
kappa
0
kappa
0.03614457831325304
kappa
-0.06666666666666672
kappa
0.2962962962962963
kappa
-0.23456790123456783
kappa
-0.0035842293906810864
kb_relative_information_score
-0.21381349595942573
kb_relative_information_score
-0.013824400970627109
kb_relative_information_score
-0.013824400970627078
kb_relative_information_score
0.10315533760290689
kb_relative_information_score
0.02516884522055082
kb_relative_information_score
0.07978706645530244
kb_relative_information_score
0.07978706645530252
kb_relative_information_score
0.2714980942771146
kb_relative_information_score
-0.1502661669308721
kb_relative_information_score
-0.07358175580214717
mean_absolute_error
0.5245901639344263
mean_absolute_error
0.43333333333333335
mean_absolute_error
0.43333333333333335
mean_absolute_error
0.38333333333333336
mean_absolute_error
0.4166666666666667
mean_absolute_error
0.4
mean_absolute_error
0.4
mean_absolute_error
0.31666666666666665
mean_absolute_error
0.5
mean_absolute_error
0.4666666666666667
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
0.5362997658079626 [0.642857,0.333333]
precision
0.4647435897435897 [0.634615,0.125]
precision
0.513888888888889 [0.645833,0.25]
precision
0.570191713048856 [0.673469,0.363636]
precision
0.5555555555555555 [0.666667,0.333333]
precision
0.5633387888707037 [0.659574,0.384615]
precision
0.4836363636363636 [0.636364,0.2]
precision
0.6799999999999999 [0.75,0.55]
precision
0.4165120593692022 [0.591837,0.090909]
precision
0.5433607520564042 [0.648649,0.347826]
predictive_accuracy
0.47540983606557374
predictive_accuracy
0.5666666666666667
predictive_accuracy
0.5666666666666667
predictive_accuracy
0.6166666666666667
predictive_accuracy
0.5833333333333334
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6833333333333332
predictive_accuracy
0.5
predictive_accuracy
0.5333333333333333
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
1.1626898047722332
relative_absolute_error
0.9677777777777768
relative_absolute_error
0.9677777777777768
relative_absolute_error
0.8561111111111103
relative_absolute_error
0.9305555555555547
relative_absolute_error
0.883031301482701
relative_absolute_error
0.883031301482701
relative_absolute_error
0.6990664470071383
relative_absolute_error
1.1037891268533762
relative_absolute_error
1.030203185063151
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
0.7242859683401482
root_mean_squared_error
0.6582805886043833
root_mean_squared_error
0.6582805886043833
root_mean_squared_error
0.6191391873668903
root_mean_squared_error
0.6454972243679028
root_mean_squared_error
0.6324555320336759
root_mean_squared_error
0.6324555320336759
root_mean_squared_error
0.5627314338711378
root_mean_squared_error
0.7071067811865476
root_mean_squared_error
0.6831300510639732
root_relative_squared_error
1.5244014115440647
root_relative_squared_error
1.3961130314291845
root_relative_squared_error
1.3961130314291845
root_relative_squared_error
1.3131000711778171
root_relative_squared_error
1.3690014596997284
root_relative_squared_error
1.3258556448768986
root_relative_squared_error
1.3258556448768986
root_relative_squared_error
1.1796887059373402
root_relative_squared_error
1.482351675148283
root_relative_squared_error
1.4320877729945858
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
0.48690476190476195 [0.45,0.52381]
unweighted_recall
0.4375 [0.825,0.05]
unweighted_recall
0.4625 [0.775,0.15]
unweighted_recall
0.5125 [0.825,0.2]
unweighted_recall
0.5 [0.75,0.25]
unweighted_recall
0.5164835164835164 [0.794872,0.238095]
unweighted_recall
0.4725274725274725 [0.897436,0.047619]
unweighted_recall
0.6465201465201466 [0.769231,0.52381]
unweighted_recall
0.39560439560439564 [0.74359,0.047619]
unweighted_recall
0.4981684981684982 [0.615385,0.380952]
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
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
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
wall_clock_time_millis
15.985727310180664
wall_clock_time_millis
20.9653377532959
wall_clock_time_millis
15.97142219543457
wall_clock_time_millis
15.993356704711914
wall_clock_time_millis
16.98613166809082
wall_clock_time_millis
17.96698570251465
wall_clock_time_millis
18.01133155822754
wall_clock_time_millis
15.991687774658203
wall_clock_time_millis
19.01078224182129
wall_clock_time_millis
14.990568161010742
wall_clock_time_millis_testing
2.976655960083008
wall_clock_time_millis_testing
3.9980411529541016
wall_clock_time_millis_testing
3.9772987365722656
wall_clock_time_millis_testing
3.001689910888672
wall_clock_time_millis_testing
4.975795745849609
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
3.9987564086914062
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
2.9973983764648438
wall_clock_time_millis_training
13.009071350097656
wall_clock_time_millis_training
16.967296600341797
wall_clock_time_millis_training
11.994123458862305
wall_clock_time_millis_training
12.991666793823242
wall_clock_time_millis_training
12.010335922241211
wall_clock_time_millis_training
14.966964721679688
wall_clock_time_millis_training
15.012741088867188
wall_clock_time_millis_training
11.992931365966797
wall_clock_time_millis_training
16.012191772460938
wall_clock_time_millis_training
11.993169784545898
weighted_recall
0.47540983606557374 [0.45,0.52381]
weighted_recall
0.5666666666666667 [0.825,0.05]
weighted_recall
0.5666666666666667 [0.775,0.15]
weighted_recall
0.6166666666666667 [0.825,0.2]
weighted_recall
0.5833333333333334 [0.75,0.25]
weighted_recall
0.6 [0.794872,0.238095]
weighted_recall
0.6 [0.897436,0.047619]
weighted_recall
0.6833333333333333 [0.769231,0.52381]
weighted_recall
0.5 [0.74359,0.047619]
weighted_recall
0.5333333333333333 [0.615385,0.380952]