Run
10591774

Run 10591774

Task 3954 (Supervised Classification) MagicTelescope Uploaded 03-01-2023 by Edwar Londoño
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.ensemble._forest.RandomForestClassifier(19)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(19)_bootstraptrue
sklearn.ensemble._forest.RandomForestClassifier(19)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(19)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(19)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(19)_max_depthnull
sklearn.ensemble._forest.RandomForestClassifier(19)_max_features"auto"
sklearn.ensemble._forest.RandomForestClassifier(19)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(19)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(19)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(19)_min_impurity_splitnull
sklearn.ensemble._forest.RandomForestClassifier(19)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(19)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(19)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(19)_n_estimators100
sklearn.ensemble._forest.RandomForestClassifier(19)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(19)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(19)_random_state37787
sklearn.ensemble._forest.RandomForestClassifier(19)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(19)_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

0.9363 ± 0.0066
Per class
Cross-validation details (10-fold Crossvalidation)
0.8798 ± 0.0084
Per class
Cross-validation details (10-fold Crossvalidation)
0.7332 ± 0.019
Cross-validation details (10-fold Crossvalidation)
0.598 ± 0.0107
Cross-validation details (10-fold Crossvalidation)
0.194 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
0.456 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.8818 ± 0.008
Cross-validation details (10-fold Crossvalidation)
19020
Per class
Cross-validation details (10-fold Crossvalidation)
0.8815 ± 0.0079
Per class
Cross-validation details (10-fold Crossvalidation)
0.8818 ± 0.008
Cross-validation details (10-fold Crossvalidation)
0.9355 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.4255 ± 0.0095
Cross-validation details (10-fold Crossvalidation)
0.4775 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.299 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
0.6262 ± 0.0139
Cross-validation details (10-fold Crossvalidation)
0.8563 ± 0.0108
Cross-validation details (10-fold Crossvalidation)