10559845
869
Pieter Gijsbers
59
Supervised Classification
predictive_accuracy
18780
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(minmaxscaler=sklearn.preprocessing._data.MinMaxScaler,powertransformer=sklearn.preprocessing._data.PowerTransformer,robustscaler=sklearn.preprocessing._data.RobustScaler,standardscaler=sklearn.preprocessing._data.StandardScaler,randomforestclassifier=sklearn.ensemble._forest.RandomForestClassifier))(1)
8276315
Python_3.8.3. Sklearn_0.23.1. NumPy_1.19.0. SciPy_1.5.0.
copy
true
18722
with_mean
true
18722
with_std
true
18722
copy
true
18775
feature_range
[0, 1]
18775
copy
true
18776
method
"yeo-johnson"
18776
standardize
true
18776
copy
true
18777
quantile_range
[25.0, 75.0]
18777
with_centering
true
18777
with_scaling
true
18777
bootstrap
true
18779
ccp_alpha
0.0
18779
class_weight
null
18779
criterion
"gini"
18779
max_depth
null
18779
max_features
"auto"
18779
max_leaf_nodes
null
18779
max_samples
null
18779
min_impurity_decrease
0.0
18779
min_impurity_split
null
18779
min_samples_leaf
1
18779
min_samples_split
2
18779
min_weight_fraction_leaf
0.0
18779
n_estimators
5
18779
n_jobs
null
18779
oob_score
false
18779
random_state
28930
18779
verbose
0
18779
warm_start
false
18779
cv
{"oml-python:serialized_object": "cv_object", "value": {"name": "sklearn.model_selection._split.StratifiedKFold", "parameters": {"n_splits": "2", "random_state": "18816", "shuffle": "true"}}}
18780
error_score
NaN
18780
iid
"deprecated"
18780
n_iter
1
18780
n_jobs
null
18780
param_distributions
{"randomforestclassifier__bootstrap": [true, false], "randomforestclassifier__criterion": ["gini", "entropy"], "randomforestclassifier__max_depth": [3, null], "randomforestclassifier__max_features": [1, 2, 3, 4], "randomforestclassifier__min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "randomforestclassifier__min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10]}
18780
pre_dispatch
"2*n_jobs"
18780
random_state
2863
18780
refit
true
18780
return_train_score
false
18780
scoring
null
18780
verbose
0
18780
memory
null
18781
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "minmaxscaler", "step_name": "minmaxscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "powertransformer", "step_name": "powertransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "robustscaler", "step_name": "robustscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "randomforestclassifier", "step_name": "randomforestclassifier"}}]
18781
verbose
false
18781
openml-python
Sklearn_0.23.1.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
22045280
description
https://api.openml.org/data/download/22045280/description.xml
-1
22045281
predictions
https://api.openml.org/data/download/22045281/predictions.arff
-1
22045282
trace
https://api.openml.org/data/download/22045282/trace.arff
area_under_roc_curve
0.9781333333333333 [1,0.9647,0.9697]
average_cost
0
f_measure
0.9466666666666667 [1,0.92,0.92]
kappa
0.9199999999999998
kb_relative_information_score
0.9196810845970919
mean_absolute_error
0.04183059319482085
mean_prior_absolute_error
0.44444444444444337
weighted_recall
0.9466666666666667 [1,0.92,0.92]
number_of_instances
150 [50,50,50]
precision
0.9466666666666667 [1,0.92,0.92]
predictive_accuracy
0.9466666666666668
prior_entropy
1.5849625007211599
relative_absolute_error
0.09411883468834714
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.16257702239081767
root_relative_squared_error
0.3448779449929934
total_cost
0
unweighted_recall
0.9466666666666667 [1,0.92,0.92]
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
0.95 [1,0.9,0.95]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9599999999999999 [1,0.94,0.94]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.95 [1,0.95,0.9]
area_under_roc_curve
0.9433333333333332 [1,0.89,0.94]
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
0.861111111111111 [1,0.75,0.833333]
f_measure
1 [1,1,1]
f_measure
0.861111111111111 [1,0.833333,0.75]
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
0.8
kappa
1
kappa
0.8
kappa
0.8
kappa
1
kb_relative_information_score
0.9327989619658726
kb_relative_information_score
0.9551028701038896
kb_relative_information_score
0.9456866058124676
kb_relative_information_score
0.9087286502380971
kb_relative_information_score
0.9925079384707811
kb_relative_information_score
0.7990414450035054
kb_relative_information_score
0.9861143868514888
kb_relative_information_score
0.8492093661904722
kb_relative_information_score
0.8432157169670973
kb_relative_information_score
0.9844049043672511
mean_absolute_error
0.03333333333333333
mean_absolute_error
0.02764227642276422
mean_absolute_error
0.0309810298102981
mean_absolute_error
0.04444444444444444
mean_absolute_error
0.005420054200542008
mean_absolute_error
0.10686419753086421
mean_absolute_error
0.009864498644986452
mean_absolute_error
0.07222222222222222
mean_absolute_error
0.07655826558265583
mean_absolute_error
0.010975609756097564
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
0.9047619047619048 [1,1,0.714286]
precision
1 [1,1,1]
precision
0.9047619047619048 [1,0.714286,1]
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
0.8666666666666667
predictive_accuracy
1
predictive_accuracy
0.8666666666666667
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
0.07499999999999998
relative_absolute_error
0.06219512195121947
relative_absolute_error
0.06970731707317071
relative_absolute_error
0.09999999999999995
relative_absolute_error
0.012195121951219514
relative_absolute_error
0.24044444444444438
relative_absolute_error
0.02219512195121951
relative_absolute_error
0.16249999999999992
relative_absolute_error
0.17225609756097554
relative_absolute_error
0.02469512195121951
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
0.13228756555322954
root_mean_squared_error
0.08725458392858793
root_mean_squared_error
0.10732697663099593
root_mean_squared_error
0.21081851067789195
root_mean_squared_error
0.011497671238805657
root_mean_squared_error
0.24079794192230797
root_mean_squared_error
0.02401334812890745
root_mean_squared_error
0.2486072315029383
root_mean_squared_error
0.24881983986549
root_mean_squared_error
0.02875136324350731
root_relative_squared_error
0.2806243040080456
root_relative_squared_error
0.18509492395654578
root_relative_squared_error
0.227674898940082
root_relative_squared_error
0.44721359549995787
root_relative_squared_error
0.024390243902439032
root_relative_squared_error
0.5108095728870851
root_relative_squared_error
0.05094000390283125
root_relative_squared_error
0.5273755777432246
root_relative_squared_error
0.5278265881879164
root_relative_squared_error
0.060990851753525005
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
0.8666666666666667 [1,0.6,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.8666666666666667 [1,1,0.6]
unweighted_recall
0.8666666666666667 [1,0.8,0.8]
unweighted_recall
1 [1,1,1]
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
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
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
wall_clock_time_millis
65.99879264831543
wall_clock_time_millis
66.00046157836914
wall_clock_time_millis
72.00026512145996
wall_clock_time_millis
65.99783897399902
wall_clock_time_millis
67.0003890991211
wall_clock_time_millis
67.00015068054199
wall_clock_time_millis
66.99919700622559
wall_clock_time_millis
68.00007820129395
wall_clock_time_millis
69.0011978149414
wall_clock_time_millis
65.99879264831543
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
3.0002593994140625
wall_clock_time_millis_testing
2.9990673065185547
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
3.0002593994140625
wall_clock_time_millis_testing
3.000497817993164
wall_clock_time_millis_testing
3.001689910888672
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_training
63.99869918823242
wall_clock_time_millis_training
63.00020217895508
wall_clock_time_millis_training
69.0011978149414
wall_clock_time_millis_training
63.99869918823242
wall_clock_time_millis_training
64.00012969970703
wall_clock_time_millis_training
63.99965286254883
wall_clock_time_millis_training
63.997507095336914
wall_clock_time_millis_training
66.00117683410645
wall_clock_time_millis_training
67.0011043548584
wall_clock_time_millis_training
63.00044059753418
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
0.8666666666666667 [1,0.6,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.8666666666666667 [1,1,0.6]
weighted_recall
0.8666666666666667 [1,0.8,0.8]
weighted_recall
1 [1,1,1]