Run
10560791

Run 10560791

Task 39 (Supervised Classification) sonar Uploaded 01-09-2021 by Victorien Fandos
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.ensemble._forest.RandomForestClassifier(11)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(11)_bootstrapfalse
sklearn.ensemble._forest.RandomForestClassifier(11)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(11)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(11)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(11)_max_depth26
sklearn.ensemble._forest.RandomForestClassifier(11)_max_features"auto"
sklearn.ensemble._forest.RandomForestClassifier(11)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(11)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(11)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(11)_min_impurity_splitnull
sklearn.ensemble._forest.RandomForestClassifier(11)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(11)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(11)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(11)_n_estimators673
sklearn.ensemble._forest.RandomForestClassifier(11)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(11)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(11)_random_state53109
sklearn.ensemble._forest.RandomForestClassifier(11)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(11)_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

0.9452 ± 0.0312
Per class
Cross-validation details (10-fold Crossvalidation)
0.8644 ± 0.0605
Per class
Cross-validation details (10-fold Crossvalidation)
0.7274 ± 0.1149
Cross-validation details (10-fold Crossvalidation)
0.4655 ± 0.058
Cross-validation details (10-fold Crossvalidation)
0.2876 ± 0.0291
Cross-validation details (10-fold Crossvalidation)
0.4978 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.8654 ± 0.0549
Cross-validation details (10-fold Crossvalidation)
208
Per class
Cross-validation details (10-fold Crossvalidation)
0.8693 ± 0.0354
Per class
Cross-validation details (10-fold Crossvalidation)
0.8654 ± 0.0549
Cross-validation details (10-fold Crossvalidation)
0.9967 ± 0.0033
Cross-validation details (10-fold Crossvalidation)
0.5779 ± 0.0581
Cross-validation details (10-fold Crossvalidation)
0.4989 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.3399 ± 0.0268
Cross-validation details (10-fold Crossvalidation)
0.6813 ± 0.0535
Cross-validation details (10-fold Crossvalidation)
0.8609 ± 0.0608
Cross-validation details (10-fold Crossvalidation)