10591292
32117
VAIBHAV JAISWAL
59
Supervised Classification
predictive_accuracy
19167
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.RandomForestClassifier)(1)
8304105
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
bootstrap
true
19095
ccp_alpha
0.0
19095
class_weight
null
19095
criterion
"gini"
19095
max_depth
null
19095
max_features
"auto"
19095
max_leaf_nodes
null
19095
max_samples
null
19095
min_impurity_decrease
0.0
19095
min_samples_leaf
1
19095
min_samples_split
2
19095
min_weight_fraction_leaf
0.0
19095
n_estimators
100
19095
n_jobs
null
19095
oob_score
false
19095
random_state
0
19095
verbose
0
19095
warm_start
false
19095
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
19167
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"}}]
19167
verbose
false
19167
openml-python
Sklearn_1.0.2.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
22110190
description
https://api.openml.org/data/download/22110190/description.xml
-1
22110191
predictions
https://api.openml.org/data/download/22110191/predictions.arff
area_under_roc_curve
0.9967666666666666 [1,0.995,0.9953]
average_cost
0
f_measure
0.96 [1,0.94,0.94]
kappa
0.94
kb_relative_information_score
0.9304770940752537
mean_absolute_error
0.03666666666666669
mean_prior_absolute_error
0.44444444444444337
weighted_recall
0.96 [1,0.94,0.94]
number_of_instances
150 [50,50,50]
precision
0.96 [1,0.94,0.94]
predictive_accuracy
0.96
prior_entropy
1.5849625007211599
relative_absolute_error
0.08250000000000025
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.1418904115466894
root_relative_squared_error
0.30099501657004263
total_cost
0
unweighted_recall
0.96 [1,0.94,0.94]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9866666666666667 [1,0.98,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9966666666666666 [1,0.99,1]
area_under_roc_curve
0.9866666666666667 [1,0.98,0.98]
area_under_roc_curve
1 [1,1,1]
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
0.9326599326599326 [1,0.909091,0.888889]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.861111111111111 [1,0.833333,0.75]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
kappa
0.9
kappa
1
kappa
1
kappa
0.9
kappa
1
kappa
0.9
kappa
1
kappa
0.8
kappa
0.9
kappa
1
kb_relative_information_score
0.9220650842826557
kb_relative_information_score
0.9782115942534999
kb_relative_information_score
0.9657755713212781
kb_relative_information_score
0.9211970641010165
kb_relative_information_score
0.9817767611376241
kb_relative_information_score
0.8510557410327138
kb_relative_information_score
0.9950832919693327
kb_relative_information_score
0.8531257324283321
kb_relative_information_score
0.8620083794133186
kb_relative_information_score
0.9744717208127679
mean_absolute_error
0.03644444444444445
mean_absolute_error
0.015111111111111115
mean_absolute_error
0.02088888888888889
mean_absolute_error
0.03644444444444445
mean_absolute_error
0.012444444444444449
mean_absolute_error
0.08088888888888889
mean_absolute_error
0.0035555555555555575
mean_absolute_error
0.07111111111111111
mean_absolute_error
0.07200000000000001
mean_absolute_error
0.01777777777777778
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
precision
0.9444444444444445 [1,0.833333,1]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.9047619047619048 [1,0.714286,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
1 [1,1,1]
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
0.8666666666666667
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
relative_absolute_error
0.08199999999999999
relative_absolute_error
0.034
relative_absolute_error
0.046999999999999986
relative_absolute_error
0.08199999999999999
relative_absolute_error
0.028000000000000004
relative_absolute_error
0.1819999999999999
relative_absolute_error
0.008000000000000002
relative_absolute_error
0.15999999999999995
relative_absolute_error
0.16199999999999995
relative_absolute_error
0.039999999999999994
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_squared_error
0.15637561617251372
root_mean_squared_error
0.039327683210007
root_mean_squared_error
0.07907802054511312
root_mean_squared_error
0.16661332479726826
root_mean_squared_error
0.04000000000000001
root_mean_squared_error
0.20356817039999156
root_mean_squared_error
0.009428090415820638
root_mean_squared_error
0.2354381258656106
root_mean_squared_error
0.20273682995998094
root_mean_squared_error
0.04066120181860508
root_relative_squared_error
0.3317227758234276
root_relative_squared_error
0.08342661445845684
root_relative_squared_error
0.16774981371077582
root_relative_squared_error
0.35344023540055536
root_relative_squared_error
0.08485281374238571
root_relative_squared_error
0.431833301170718
root_relative_squared_error
0.020000000000000007
root_relative_squared_error
0.4994396860482754
root_relative_squared_error
0.4300697617828995
root_relative_squared_error
0.08625543461139128
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
0.9333333333333332 [1,1,0.8]
unweighted_recall
1 [1,1,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.8666666666666667 [1,1,0.6]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
1 [1,1,1]
usercpu_time_millis
203.125
usercpu_time_millis
203.125
usercpu_time_millis
171.875
usercpu_time_millis
203.125
usercpu_time_millis
171.875
usercpu_time_millis
203.125
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
203.125
usercpu_time_millis
187.5
usercpu_time_millis_testing
31.25
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_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
171.875
usercpu_time_millis_training
187.5
usercpu_time_millis_training
156.25
usercpu_time_millis_training
187.5
usercpu_time_millis_training
171.875
usercpu_time_millis_training
187.5
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
187.5
usercpu_time_millis_training
171.875
wall_clock_time_millis
199.88298416137695
wall_clock_time_millis
203.9036750793457
wall_clock_time_millis
189.89324569702148
wall_clock_time_millis
195.88327407836914
wall_clock_time_millis
192.8880214691162
wall_clock_time_millis
192.91138648986816
wall_clock_time_millis
197.9076862335205
wall_clock_time_millis
182.89732933044434
wall_clock_time_millis
195.88541984558105
wall_clock_time_millis
188.89093399047852
wall_clock_time_millis_testing
27.968406677246094
wall_clock_time_millis_testing
15.016317367553711
wall_clock_time_millis_testing
15.993356704711914
wall_clock_time_millis_testing
13.98921012878418
wall_clock_time_millis_testing
13.9923095703125
wall_clock_time_millis_testing
16.989469528198242
wall_clock_time_millis_testing
14.01066780090332
wall_clock_time_millis_testing
13.990640640258789
wall_clock_time_millis_testing
13.970136642456055
wall_clock_time_millis_testing
14.98866081237793
wall_clock_time_millis_training
171.91457748413086
wall_clock_time_millis_training
188.887357711792
wall_clock_time_millis_training
173.89988899230957
wall_clock_time_millis_training
181.89406394958496
wall_clock_time_millis_training
178.8957118988037
wall_clock_time_millis_training
175.92191696166992
wall_clock_time_millis_training
183.8970184326172
wall_clock_time_millis_training
168.90668869018555
wall_clock_time_millis_training
181.915283203125
wall_clock_time_millis_training
173.9022731781006
weighted_recall
0.9333333333333333 [1,1,0.8]
weighted_recall
1 [1,1,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.8666666666666667 [1,1,0.6]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
1 [1,1,1]