Run
10154686

Run 10154686

Task 3820 (Supervised Classification) braziltourism Uploaded 06-02-2019 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(46)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(46)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(46)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(46)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(46)_max_featuresnull
sklearn.ensemble.forest.RandomForestClassifier(46)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(46)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(46)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(46)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(46)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(46)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(46)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(46)_n_jobsnull
sklearn.ensemble.forest.RandomForestClassifier(46)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(46)_random_state52274
sklearn.ensemble.forest.RandomForestClassifier(46)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(46)_warm_startfalse
sklearn.impute.SimpleImputer(5)_copytrue
sklearn.impute.SimpleImputer(5)_fill_valuenull
sklearn.impute.SimpleImputer(5)_missing_valuesNaN
sklearn.impute.SimpleImputer(5)_strategy"mean"
sklearn.impute.SimpleImputer(5)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.659 ± 0.0654
Per class
Cross-validation details (10-fold Crossvalidation)
0.7327 ± 0.0463
Per class
Cross-validation details (10-fold Crossvalidation)
0.2036 ± 0.1324
Cross-validation details (10-fold Crossvalidation)
9.6369 ± 3.9524
Cross-validation details (10-fold Crossvalidation)
0.3078 ± 0.0267
Cross-validation details (10-fold Crossvalidation)
0.3529 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
412
Per class
Cross-validation details (10-fold Crossvalidation)
0.7233 ± 0.0651
Per class
Cross-validation details (10-fold Crossvalidation)
0.75 ± 0.048
Cross-validation details (10-fold Crossvalidation)
0.7771
Cross-validation details (10-fold Crossvalidation)
0.75 ± 0.048
Per class
Cross-validation details (10-fold Crossvalidation)
0.8721 ± 0.074
Cross-validation details (10-fold Crossvalidation)
0.4196 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.4375 ± 0.0344
Cross-validation details (10-fold Crossvalidation)
1.0426 ± 0.0795
Cross-validation details (10-fold Crossvalidation)