10590816
32117
VAIBHAV JAISWAL
59
Supervised Classification
predictive_accuracy
19157
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._logistic.LogisticRegression)(1)
8304364
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
19157
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"}}]
19157
verbose
false
19157
C
1.0
19158
class_weight
null
19158
dual
false
19158
fit_intercept
true
19158
intercept_scaling
1
19158
l1_ratio
null
19158
max_iter
5000
19158
multi_class
"auto"
19158
n_jobs
null
19158
penalty
"l2"
19158
random_state
17773
19158
solver
"lbfgs"
19158
tol
0.0001
19158
verbose
0
19158
warm_start
false
19158
openml-python
Sklearn_1.0.2.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
22109228
description
https://api.openml.org/data/download/22109228/description.xml
-1
22109229
predictions
https://api.openml.org/data/download/22109229/predictions.arff
area_under_roc_curve
0.9979333333333333 [1,0.997,0.9968]
average_cost
0
f_measure
0.96 [1,0.94,0.94]
kappa
0.94
kb_relative_information_score
0.8683186410686373
mean_absolute_error
0.08001240956791511
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
0.18002792152780944
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.1490517323086738
root_relative_squared_error
0.31618647198919614
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
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
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
0.8830735196858756
kb_relative_information_score
0.8971121270314744
kb_relative_information_score
0.8904170843764361
kb_relative_information_score
0.9072511838987536
kb_relative_information_score
0.895962709037547
kb_relative_information_score
0.793024766539609
kb_relative_information_score
0.909828579843088
kb_relative_information_score
0.8237629360506875
kb_relative_information_score
0.810367300364716
kb_relative_information_score
0.8723862038581953
mean_absolute_error
0.07243495889096649
mean_absolute_error
0.06709133297065077
mean_absolute_error
0.06846811116534492
mean_absolute_error
0.05483815483895205
mean_absolute_error
0.06789902982474558
mean_absolute_error
0.11890000553313623
mean_absolute_error
0.060805009205837264
mean_absolute_error
0.09763670885919679
mean_absolute_error
0.11039989452474835
mean_absolute_error
0.08165088986557262
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
0.16297865750467455
relative_absolute_error
0.1509554991839642
relative_absolute_error
0.15405325012202603
relative_absolute_error
0.12338584838764208
relative_absolute_error
0.1527728171056775
relative_absolute_error
0.2675250124495564
relative_absolute_error
0.13681127071313381
relative_absolute_error
0.2196825949331927
relative_absolute_error
0.2483997626806837
relative_absolute_error
0.18371450219753832
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
0.13522225982521277
root_mean_squared_error
0.11538962930048483
root_mean_squared_error
0.13091442489068508
root_mean_squared_error
0.1279654711050613
root_mean_squared_error
0.11408989358841319
root_mean_squared_error
0.210209580521922
root_mean_squared_error
0.09289199274588908
root_mean_squared_error
0.1926064144483103
root_mean_squared_error
0.19022031911109208
root_mean_squared_error
0.13392580009970312
root_relative_squared_error
0.28684973066933156
root_relative_squared_error
0.24477836807092423
root_relative_squared_error
0.2777114327860211
root_relative_squared_error
0.2714557571283601
root_relative_squared_error
0.2420212122636557
root_relative_squared_error
0.4459218595722919
root_relative_squared_error
0.19705367396564924
root_relative_squared_error
0.4085799052692805
root_relative_squared_error
0.40351823268876674
root_relative_squared_error
0.2840995242790022
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
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0
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
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
0
usercpu_time_millis_testing
0
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
15.987634658813477
wall_clock_time_millis
15.994548797607422
wall_clock_time_millis
14.990568161010742
wall_clock_time_millis
17.986774444580078
wall_clock_time_millis
15.990734100341797
wall_clock_time_millis
17.989397048950195
wall_clock_time_millis
18.00847053527832
wall_clock_time_millis
17.987966537475586
wall_clock_time_millis
20.007610321044922
wall_clock_time_millis
17.009258270263672
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9767284393310547
wall_clock_time_millis_testing
2.9990673065185547
wall_clock_time_millis_testing
1.001119613647461
wall_clock_time_millis_testing
0.9992122650146484
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
1.9979476928710938
wall_clock_time_millis_testing
1.9981861114501953
wall_clock_time_millis_testing
0.9996891021728516
wall_clock_time_millis_training
13.987541198730469
wall_clock_time_millis_training
13.996124267578125
wall_clock_time_millis_training
13.013839721679688
wall_clock_time_millis_training
14.987707138061523
wall_clock_time_millis_training
14.989614486694336
wall_clock_time_millis_training
16.990184783935547
wall_clock_time_millis_training
16.00933074951172
wall_clock_time_millis_training
15.990018844604492
wall_clock_time_millis_training
18.009424209594727
wall_clock_time_millis_training
16.00956916809082
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]