7946791
1140
Andreas Mueller
59
Supervised Classification
predictive_accuracy
7247
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(9)
5977261
bootstrap
true
7245
class_weight
null
7245
criterion
"gini"
7245
max_depth
null
7245
max_features
"auto"
7245
max_leaf_nodes
null
7245
min_impurity_split
1e-07
7245
min_samples_leaf
1
7245
min_samples_split
2
7245
min_weight_fraction_leaf
0.0
7245
n_estimators
10
7245
n_jobs
1
7245
oob_score
false
7245
random_state
42735
7245
verbose
0
7245
warm_start
false
7245
axis
0
7248
copy
true
7248
missing_values
"NaN"
7248
strategy
"median"
7248
verbose
0
7248
categorical_features
"all"
7249
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7249
handle_unknown
"ignore"
7249
n_values
"auto"
7249
sparse
false
7249
openml-python
Sklearn_0.18.2.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
16816989
description
https://api.openml.org/data/download/16816989/description.xml
-1
16816990
predictions
https://api.openml.org/data/download/16816990/predictions.arff
area_under_roc_curve
0.9789333333333333 [1,0.9675,0.9693]
average_cost
0
f_measure
0.9465811965811967 [1,0.923077,0.916667]
kappa
0.9199999999999998
kb_relative_information_score
132.37190650741056
mean_absolute_error
0.06401200036204
mean_prior_absolute_error
0.44444444444444337
number_of_instances
150 [50,50,50]
precision
0.9484702093397746 [1,0.888889,0.956522]
predictive_accuracy
0.9466666666666668
prior_entropy
1.584962500721156
recall
0.9466666666666667 [1,0.96,0.88]
relative_absolute_error
0.14402700081459033
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.1877557143609843
root_relative_squared_error
0.39829001649352974
total_cost
0
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
0.9933333333333333 [1,0.99,0.99]
area_under_roc_curve
0.9666666666666667 [1,0.95,0.95]
area_under_roc_curve
0.9233333333333335 [1,0.86,0.91]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.98 [1,0.98,0.96]
area_under_roc_curve
0.9866666666666667 [1,0.98,0.98]
area_under_roc_curve
0.9666666666666667 [1,0.95,0.95]
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
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
0.9326599326599326 [1,0.909091,0.888889]
f_measure
0.7979797979797979 [1,0.727273,0.666667]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.909091,0.888889]
f_measure
0.9326599326599326 [1,0.909091,0.888889]
f_measure
0.9326599326599326 [1,0.909091,0.888889]
kappa
1
kappa
1
kappa
1
kappa
0.9
kappa
0.9
kappa
0.7000000000000001
kappa
1
kappa
0.9
kappa
0.9
kappa
0.9
kb_relative_information_score
13.518621642687307
kb_relative_information_score
14.034200802803653
kb_relative_information_score
14.580495903469284
kb_relative_information_score
13.630929753571461
kb_relative_information_score
12.635009276719174
kb_relative_information_score
11.148720330749809
kb_relative_information_score
13.634287861314803
kb_relative_information_score
12.808837369806986
kb_relative_information_score
13.377821645119258
kb_relative_information_score
13.002981921168614
mean_absolute_error
0.0628684463684
mean_absolute_error
0.03990991697511112
mean_absolute_error
0.018074563054933334
mean_absolute_error
0.04444444444444444
mean_absolute_error
0.08363235529902222
mean_absolute_error
0.12815977602644446
mean_absolute_error
0.05752630811453333
mean_absolute_error
0.07807957474626666
mean_absolute_error
0.05567003983666667
mean_absolute_error
0.07175457875457777
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
1 [1,1,1]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
0.9444444444444445 [1,0.833333,1]
precision
0.8055555555555555 [1,0.666667,0.75]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,0.833333,1]
precision
0.9444444444444445 [1,0.833333,1]
precision
0.9444444444444445 [1,0.833333,1]
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.9333333333333332
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
0.9333333333333333 [1,0.8,1]
recall
0.9333333333333333 [1,1,0.8]
recall
0.8 [1,0.8,0.6]
recall
1 [1,1,1]
recall
0.9333333333333333 [1,1,0.8]
recall
0.9333333333333333 [1,1,0.8]
recall
0.9333333333333333 [1,1,0.8]
relative_absolute_error
0.14145400432889996
relative_absolute_error
0.08979731319399999
relative_absolute_error
0.04066776687359999
relative_absolute_error
0.09999999999999995
relative_absolute_error
0.1881727994227999
relative_absolute_error
0.28835949605949995
relative_absolute_error
0.12943419325769995
relative_absolute_error
0.1756790431790999
relative_absolute_error
0.12525758963249997
relative_absolute_error
0.16144780219779992
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
0.12059391633120484
root_mean_squared_error
0.10505041551563257
root_mean_squared_error
0.06344377217786074
root_mean_squared_error
0.2081999573060048
root_mean_squared_error
0.22747384756000533
root_mean_squared_error
0.3036557990523366
root_mean_squared_error
0.11918501212146287
root_mean_squared_error
0.19259814915232779
root_mean_squared_error
0.1956470498704952
root_mean_squared_error
0.21457676465396452
root_relative_squared_error
0.2558183280229142
root_relative_squared_error
0.22284558353270487
root_relative_squared_error
0.1345845645930592
root_relative_squared_error
0.4416588049614769
root_relative_squared_error
0.4825449004568242
root_relative_squared_error
0.6441512239695804
root_relative_squared_error
0.25282959086066176
root_relative_squared_error
0.4085623719287672
root_relative_squared_error
0.4150300670477094
root_relative_squared_error
0.4551860561156646
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
usercpu_time_millis
18.666155000000018
usercpu_time_millis
17.14974199999908
usercpu_time_millis
17.129719000001487
usercpu_time_millis
16.428212999999303
usercpu_time_millis
15.767561999998847
usercpu_time_millis
14.75371999999986
usercpu_time_millis
14.631473999999756
usercpu_time_millis
14.615284000001338
usercpu_time_millis
15.65532499999911
usercpu_time_millis
15.266976000001264
usercpu_time_millis_testing
3.8741709999996488
usercpu_time_millis_testing
3.799534999998855
usercpu_time_millis_testing
3.6416120000009045
usercpu_time_millis_testing
3.6416660000000434
usercpu_time_millis_testing
3.385457000000258
usercpu_time_millis_testing
3.1462189999995616
usercpu_time_millis_testing
3.1567829999996633
usercpu_time_millis_testing
3.583178000001297
usercpu_time_millis_testing
3.308069999999219
usercpu_time_millis_testing
3.3563350000012093
usercpu_time_millis_training
14.791984000000369
usercpu_time_millis_training
13.350207000000225
usercpu_time_millis_training
13.488107000000582
usercpu_time_millis_training
12.78654699999926
usercpu_time_millis_training
12.382104999998589
usercpu_time_millis_training
11.607501000000298
usercpu_time_millis_training
11.474691000000092
usercpu_time_millis_training
11.032106000000041
usercpu_time_millis_training
12.34725499999989
usercpu_time_millis_training
11.910641000000055