7934548
3958
Wei-Sheng Chen
59
Supervised Classification
predictive_accuracy
7191
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(7)
5965609
bootstrap
true
7181
class_weight
null
7181
criterion
"gini"
7181
max_depth
null
7181
max_features
"auto"
7181
max_leaf_nodes
null
7181
min_impurity_decrease
0.0
7181
min_impurity_split
null
7181
min_samples_leaf
1
7181
min_samples_split
2
7181
min_weight_fraction_leaf
0.0
7181
n_estimators
10
7181
n_jobs
1
7181
oob_score
false
7181
random_state
63714
7181
verbose
0
7181
warm_start
false
7181
memory
null
7191
axis
0
7192
copy
true
7192
missing_values
"NaN"
7192
strategy
"median"
7192
verbose
0
7192
categorical_features
"all"
7193
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7193
handle_unknown
"ignore"
7193
n_values
"auto"
7193
sparse
false
7193
openml-python
Sklearn_0.19.0.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
16792130
description
https://api.openml.org/data/download/16792130/description.xml
-1
16792131
predictions
https://api.openml.org/data/download/16792131/predictions.arff
area_under_roc_curve
0.9803333333333332 [1,0.9683,0.9727]
average_cost
0
f_measure
0.9465811965811967 [1,0.923077,0.916667]
kappa
0.9199999999999998
kb_relative_information_score
132.5087852080196
mean_absolute_error
0.0634106219794
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
0.14267389945365036
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.18586268856406854
root_relative_squared_error
0.3942743023596492
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
0.9733333333333334 [1,0.96,0.96]
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
0.9866666666666667 [1,0.98,0.98]
area_under_roc_curve
1 [1,1,1]
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
0.8666666666666667 [1,0.8,0.8]
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]
f_measure
0.9326599326599326 [1,0.909091,0.888889]
kappa
1
kappa
1
kappa
1
kappa
0.9
kappa
0.9
kappa
0.8
kappa
0.9
kappa
0.9
kappa
0.9
kappa
0.9
kb_relative_information_score
13.369425051246676
kb_relative_information_score
14.235290259864332
kb_relative_information_score
14.577848779786809
kb_relative_information_score
13.350301762391528
kb_relative_information_score
12.890783614343842
kb_relative_information_score
11.610295213930806
kb_relative_information_score
13.351134603545596
kb_relative_information_score
12.897441756791265
kb_relative_information_score
13.374011480952868
kb_relative_information_score
12.852252685165652
mean_absolute_error
0.0657345734188
mean_absolute_error
0.03363035657146666
mean_absolute_error
0.01819192787871111
mean_absolute_error
0.056888888888888885
mean_absolute_error
0.07514638447972667
mean_absolute_error
0.11664029180697777
mean_absolute_error
0.058263979933208886
mean_absolute_error
0.07618750748164223
mean_absolute_error
0.0552740255196
mean_absolute_error
0.07814828381497778
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
0.8666666666666667 [1,0.8,0.8]
precision
0.9444444444444445 [1,0.833333,1]
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
0.8666666666666667
predictive_accuracy
0.9333333333333332
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
0.8666666666666667 [1,0.8,0.8]
recall
0.9333333333333333 [1,1,0.8]
recall
0.9333333333333333 [1,1,0.8]
recall
0.9333333333333333 [1,1,0.8]
recall
0.9333333333333333 [1,1,0.8]
relative_absolute_error
0.14790279019229996
relative_absolute_error
0.07566830228579996
relative_absolute_error
0.04093183772709999
relative_absolute_error
0.12799999999999995
relative_absolute_error
0.16907936507938498
relative_absolute_error
0.2624406565656999
relative_absolute_error
0.13109395484971997
relative_absolute_error
0.17142189183369497
relative_absolute_error
0.12436655741909997
relative_absolute_error
0.17583363858369996
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
0.13082098925891758
root_mean_squared_error
0.08023685647948786
root_mean_squared_error
0.0636314513058725
root_mean_squared_error
0.21086067016450039
root_mean_squared_error
0.21782668882874934
root_mean_squared_error
0.283153678841046
root_mean_squared_error
0.15862980279996755
root_mean_squared_error
0.1865418668869355
root_mean_squared_error
0.19394819313664874
root_mean_squared_error
0.21950960241052808
root_relative_squared_error
0.2775132258795393
root_relative_squared_error
0.1702080759532129
root_relative_squared_error
0.1349826921453721
root_relative_squared_error
0.44730302927657434
root_relative_squared_error
0.4620801863826618
root_relative_squared_error
0.6006596592792642
root_relative_squared_error
0.33650462777442547
root_relative_squared_error
0.39571505715285105
root_relative_squared_error
0.41142624769740765
root_relative_squared_error
0.4656501852001419
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