10590819
32117
VAIBHAV JAISWAL
59
Supervised Classification
predictive_accuracy
19162
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.tree._classes.DecisionTreeClassifier)(1)
8304366
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
ccp_alpha
0.0
19085
class_weight
null
19085
criterion
"gini"
19085
max_depth
null
19085
max_features
null
19085
max_leaf_nodes
null
19085
min_impurity_decrease
0.0
19085
min_samples_leaf
1
19085
min_samples_split
2
19085
min_weight_fraction_leaf
0.0
19085
random_state
40607
19085
splitter
"best"
19085
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
19162
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"}}]
19162
verbose
false
19162
openml-python
Sklearn_1.0.2.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
22109234
description
https://api.openml.org/data/download/22109234/description.xml
-1
22109235
predictions
https://api.openml.org/data/download/22109235/predictions.arff
area_under_roc_curve
0.97 [1,0.955,0.955]
average_cost
0
f_measure
0.96 [1,0.94,0.94]
kappa
0.94
kb_relative_information_score
0.945237190142858
mean_absolute_error
0.026666666666666665
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
0.060000000000000143
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.1632993161855452
root_relative_squared_error
0.34641016151377585
total_cost
0
unweighted_recall
0.96 [1,0.94,0.94]
area_under_roc_curve
0.95 [1,0.95,0.9]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.95 [1,0.9,0.95]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.95 [1,0.9,0.95]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.95 [1,0.95,0.9]
area_under_roc_curve
0.9 [1,0.85,0.85]
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
0.9326599326599326 [1,0.909091,0.888889]
f_measure
0.8666666666666667 [1,0.8,0.8]
f_measure
1 [1,1,1]
kappa
0.9
kappa
1
kappa
1
kappa
0.9
kappa
1
kappa
0.9
kappa
1
kappa
0.9
kappa
0.8
kappa
1
kb_relative_information_score
0.9087286502380971
kb_relative_information_score
1.0000000000000002
kb_relative_information_score
1.0000000000000002
kb_relative_information_score
0.9087286502380971
kb_relative_information_score
1.0000000000000002
kb_relative_information_score
0.9087286502380971
kb_relative_information_score
1.0000000000000002
kb_relative_information_score
0.9087286502380971
kb_relative_information_score
0.8174573004761941
kb_relative_information_score
1.0000000000000002
mean_absolute_error
0.04444444444444444
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0.04444444444444444
mean_absolute_error
0
mean_absolute_error
0.04444444444444444
mean_absolute_error
0
mean_absolute_error
0.04444444444444444
mean_absolute_error
0.08888888888888888
mean_absolute_error
0
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
0.9444444444444445 [1,0.833333,1]
precision
0.8666666666666667 [1,0.8,0.8]
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
0.9333333333333332
predictive_accuracy
0.8666666666666667
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
0.09999999999999995
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0.09999999999999995
relative_absolute_error
0
relative_absolute_error
0.09999999999999995
relative_absolute_error
0
relative_absolute_error
0.09999999999999995
relative_absolute_error
0.1999999999999999
relative_absolute_error
0
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
0.21081851067789195
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0.21081851067789195
root_mean_squared_error
0
root_mean_squared_error
0.21081851067789195
root_mean_squared_error
0
root_mean_squared_error
0.21081851067789195
root_mean_squared_error
0.2981423969999719
root_mean_squared_error
0
root_relative_squared_error
0.44721359549995787
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0.44721359549995787
root_relative_squared_error
0
root_relative_squared_error
0.44721359549995787
root_relative_squared_error
0
root_relative_squared_error
0.44721359549995787
root_relative_squared_error
0.6324555320336757
root_relative_squared_error
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
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
0.9333333333333332 [1,1,0.8]
unweighted_recall
0.8666666666666667 [1,0.8,0.8]
unweighted_recall
1 [1,1,1]
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
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_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
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
wall_clock_time_millis
6.99615478515625
wall_clock_time_millis
6.97636604309082
wall_clock_time_millis
5.997180938720703
wall_clock_time_millis
6.971836090087891
wall_clock_time_millis
7.999181747436523
wall_clock_time_millis
8.99505615234375
wall_clock_time_millis
6.999731063842773
wall_clock_time_millis
7.991313934326172
wall_clock_time_millis
9.01341438293457
wall_clock_time_millis
8.016109466552734
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
1.9979476928710938
wall_clock_time_millis_testing
0.9989738464355469
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
1.9803047180175781
wall_clock_time_millis_testing
1.997232437133789
wall_clock_time_millis_testing
1.9974708557128906
wall_clock_time_millis_testing
1.995086669921875
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
1.9974708557128906
wall_clock_time_millis_training
4.996538162231445
wall_clock_time_millis_training
4.978418350219727
wall_clock_time_millis_training
4.998207092285156
wall_clock_time_millis_training
4.972934722900391
wall_clock_time_millis_training
6.018877029418945
wall_clock_time_millis_training
6.997823715209961
wall_clock_time_millis_training
5.002260208129883
wall_clock_time_millis_training
5.996227264404297
wall_clock_time_millis_training
7.01451301574707
wall_clock_time_millis_training
6.018638610839844
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
0.9333333333333333 [1,1,0.8]
weighted_recall
0.8666666666666667 [1,0.8,0.8]
weighted_recall
1 [1,1,1]