10590861
32117
VAIBHAV JAISWAL
59
Supervised Classification
predictive_accuracy
19172
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1)
8304371
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
19172
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"}}]
19172
verbose
false
19172
bootstrap
false
19173
ccp_alpha
0.0
19173
class_weight
null
19173
criterion
"gini"
19173
max_depth
null
19173
max_features
"auto"
19173
max_leaf_nodes
null
19173
max_samples
null
19173
min_impurity_decrease
0.0
19173
min_samples_leaf
1
19173
min_samples_split
2
19173
min_weight_fraction_leaf
0.0
19173
n_estimators
100
19173
n_jobs
null
19173
oob_score
false
19173
random_state
40064
19173
verbose
0
19173
warm_start
false
19173
openml-python
Sklearn_1.0.2.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
22109318
description
https://api.openml.org/data/download/22109318/description.xml
-1
22109319
predictions
https://api.openml.org/data/download/22109319/predictions.arff
area_under_roc_curve
0.9957333333333332 [1,0.9934,0.9938]
average_cost
0
f_measure
0.9533286661999534 [1,0.929293,0.930693]
kappa
0.93
kb_relative_information_score
0.9176264817582684
mean_absolute_error
0.04373333333333334
mean_prior_absolute_error
0.44444444444444337
weighted_recall
0.9533333333333334 [1,0.92,0.94]
number_of_instances
150 [50,50,50]
precision
0.9534480458850206 [1,0.938776,0.921569]
predictive_accuracy
0.9533333333333333
prior_entropy
1.5849625007211599
relative_absolute_error
0.09840000000000025
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.15089363435509429
root_relative_squared_error
0.3200937362711121
total_cost
0
unweighted_recall
0.9533333333333333 [1,0.92,0.94]
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
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
0.9326599326599326 [1,0.888889,0.909091]
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
0.9
kappa
0.9
kappa
1
kappa
0.9
kappa
1
kappa
0.8
kappa
0.9
kappa
1
kb_relative_information_score
0.8952722637183241
kb_relative_information_score
0.957693503594392
kb_relative_information_score
0.9194213595089483
kb_relative_information_score
0.9157890986614386
kb_relative_information_score
0.9802497862903636
kb_relative_information_score
0.8572996897782847
kb_relative_information_score
0.9771130331123246
kb_relative_information_score
0.8378582803818049
kb_relative_information_score
0.8824444207504821
kb_relative_information_score
0.9531233817863235
mean_absolute_error
0.05422222222222222
mean_absolute_error
0.02888888888888889
mean_absolute_error
0.03866666666666667
mean_absolute_error
0.04044444444444444
mean_absolute_error
0.013777777777777776
mean_absolute_error
0.07733333333333334
mean_absolute_error
0.016
mean_absolute_error
0.07555555555555557
mean_absolute_error
0.06133333333333333
mean_absolute_error
0.03111111111111111
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
0.9444444444444445 [1,1,0.833333]
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
0.9333333333333332
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
0.12199999999999994
relative_absolute_error
0.06499999999999999
relative_absolute_error
0.08699999999999998
relative_absolute_error
0.09099999999999996
relative_absolute_error
0.030999999999999982
relative_absolute_error
0.17399999999999996
relative_absolute_error
0.03599999999999999
relative_absolute_error
0.16999999999999996
relative_absolute_error
0.13799999999999996
relative_absolute_error
0.06999999999999998
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
0.18081297888518216
root_mean_squared_error
0.06128258770283413
root_mean_squared_error
0.15142288099520787
root_mean_squared_error
0.16212478047616424
root_mean_squared_error
0.035714920629276996
root_mean_squared_error
0.20051045968837744
root_mean_squared_error
0.03771236166328253
root_mean_squared_error
0.24548364960262062
root_mean_squared_error
0.1840531324252743
root_mean_squared_error
0.07061633427661525
root_relative_squared_error
0.3835622504887569
root_relative_squared_error
0.13
root_relative_squared_error
0.32121643793554516
root_relative_squared_error
0.3439185950192284
root_relative_squared_error
0.07576278769950323
root_relative_squared_error
0.42534691723345064
root_relative_squared_error
0.07999999999999999
root_relative_squared_error
0.5207494599133061
root_relative_squared_error
0.39043565410961123
root_relative_squared_error
0.149799866488592
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
0.9333333333333332 [1,0.8,1]
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
140.625
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
156.25
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
156.25
usercpu_time_millis
140.625
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_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_testing
15.625
usercpu_time_millis_training
125
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
125
usercpu_time_millis_training
125
usercpu_time_millis_training
140.625
usercpu_time_millis_training
125
usercpu_time_millis_training
125
usercpu_time_millis_training
140.625
usercpu_time_millis_training
125
wall_clock_time_millis
140.93756675720215
wall_clock_time_millis
150.89035034179688
wall_clock_time_millis
150.91490745544434
wall_clock_time_millis
149.91426467895508
wall_clock_time_millis
146.91543579101562
wall_clock_time_millis
151.90958976745605
wall_clock_time_millis
143.93973350524902
wall_clock_time_millis
138.92006874084473
wall_clock_time_millis
156.91208839416504
wall_clock_time_millis
145.89285850524902
wall_clock_time_millis_testing
14.010190963745117
wall_clock_time_millis_testing
13.98777961730957
wall_clock_time_millis_testing
15.970230102539062
wall_clock_time_millis_testing
19.98591423034668
wall_clock_time_millis_testing
14.99032974243164
wall_clock_time_millis_testing
17.987489700317383
wall_clock_time_millis_testing
14.991044998168945
wall_clock_time_millis_testing
16.012907028198242
wall_clock_time_millis_testing
17.988920211791992
wall_clock_time_millis_testing
13.988018035888672
wall_clock_time_millis_training
126.92737579345703
wall_clock_time_millis_training
136.9025707244873
wall_clock_time_millis_training
134.94467735290527
wall_clock_time_millis_training
129.9283504486084
wall_clock_time_millis_training
131.92510604858398
wall_clock_time_millis_training
133.92210006713867
wall_clock_time_millis_training
128.94868850708008
wall_clock_time_millis_training
122.90716171264648
wall_clock_time_millis_training
138.92316818237305
wall_clock_time_millis_training
131.90484046936035
weighted_recall
0.9333333333333333 [1,1,0.8]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [1,0.8,1]
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]