Run
61919

Run 61919

Task 259 (Supervised Classification) collins Uploaded 14-04-2021 by Test Test
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python Sklearn_0.24.1. study_8258
Issue #Downvotes for this reason By


Flow

sklearn.ensemble._forest.RandomForestClassifier(20)A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. The sub-sample size is controlled with the `max_samples` parameter if `bootstrap=True` (default), otherwise the whole dataset is used to build each tree.
sklearn.ensemble._forest.RandomForestClassifier(20)_bootstraptrue
sklearn.ensemble._forest.RandomForestClassifier(20)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(20)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(20)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(20)_max_depthnull
sklearn.ensemble._forest.RandomForestClassifier(20)_max_features"auto"
sklearn.ensemble._forest.RandomForestClassifier(20)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(20)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(20)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(20)_min_impurity_splitnull
sklearn.ensemble._forest.RandomForestClassifier(20)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(20)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(20)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(20)_n_estimators100
sklearn.ensemble._forest.RandomForestClassifier(20)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(20)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(20)_random_state12612
sklearn.ensemble._forest.RandomForestClassifier(20)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(20)_warm_startfalse

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.

18 Evaluation measures

0.9927 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
0.8517 ± 0.1121
Per class
Cross-validation details (10-fold Crossvalidation)
0.8452 ± 0.0563
Cross-validation details (10-fold Crossvalidation)
0.6502 ± 0.0202
Cross-validation details (10-fold Crossvalidation)
0.0718 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
0.1212 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.86 ± 0.0508
Cross-validation details (10-fold Crossvalidation)
500
Per class
Cross-validation details (10-fold Crossvalidation)
0.8621 ± 0.0788
Per class
Cross-validation details (10-fold Crossvalidation)
0.86 ± 0.0508
Cross-validation details (10-fold Crossvalidation)
3.6489 ± 0.0337
Cross-validation details (10-fold Crossvalidation)
0.5929 ± 0.0213
Cross-validation details (10-fold Crossvalidation)
0.246 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.1619 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
0.6578 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
0.7526 ± 0.0437
Cross-validation details (10-fold Crossvalidation)