Run
10130279

Run 10130279

Task 9 (Supervised Classification) autos Uploaded 25-01-2019 by Hugo Spee
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
Issue #Downvotes for this reason By


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_state822
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

0.9493 ± 0.0378
Per class
Cross-validation details (10-fold Crossvalidation)
0.8083 ± 0.0754
Per class
Cross-validation details (10-fold Crossvalidation)
0.751 ± 0.1236
Cross-validation details (10-fold Crossvalidation)
144.1078 ± 1.5862
Cross-validation details (10-fold Crossvalidation)
0.0826 ± 0.0164
Cross-validation details (10-fold Crossvalidation)
0.2209 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
205
Per class
Cross-validation details (10-fold Crossvalidation)
0.8128 ± 0.0794
Per class
Cross-validation details (10-fold Crossvalidation)
0.8098 ± 0.0911
Cross-validation details (10-fold Crossvalidation)
2.3268
Cross-validation details (10-fold Crossvalidation)
0.8098 ± 0.0911
Per class
Cross-validation details (10-fold Crossvalidation)
0.3741 ± 0.0756
Cross-validation details (10-fold Crossvalidation)
0.3318 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
0.2002 ± 0.033
Cross-validation details (10-fold Crossvalidation)
0.6036 ± 0.1018
Cross-validation details (10-fold Crossvalidation)