Run
10591740

Run 10591740

Task 3954 (Supervised Classification) MagicTelescope Uploaded 24-11-2022 by Gaurav Kumar
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.ensemble._forest.RandomForestClassifier(10)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(10)_bootstraptrue
sklearn.ensemble._forest.RandomForestClassifier(10)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(10)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(10)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(10)_max_depthnull
sklearn.ensemble._forest.RandomForestClassifier(10)_max_features"auto"
sklearn.ensemble._forest.RandomForestClassifier(10)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(10)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(10)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(10)_min_impurity_splitnull
sklearn.ensemble._forest.RandomForestClassifier(10)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(10)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(10)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(10)_n_estimators100
sklearn.ensemble._forest.RandomForestClassifier(10)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(10)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(10)_random_state46553
sklearn.ensemble._forest.RandomForestClassifier(10)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(10)_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

0.9358 ± 0.0057
Per class
Cross-validation details (10-fold Crossvalidation)
0.8785 ± 0.0069
Per class
Cross-validation details (10-fold Crossvalidation)
0.7304 ± 0.0157
Cross-validation details (10-fold Crossvalidation)
0.5968 ± 0.0082
Cross-validation details (10-fold Crossvalidation)
0.1944 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
0.456 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.8805 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
19020
Per class
Cross-validation details (10-fold Crossvalidation)
0.8802 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
0.8805 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
0.9355 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.4264 ± 0.0076
Cross-validation details (10-fold Crossvalidation)
0.4775 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.2996 ± 0.005
Cross-validation details (10-fold Crossvalidation)
0.6274 ± 0.0104
Cross-validation details (10-fold Crossvalidation)
0.855 ± 0.0092
Cross-validation details (10-fold Crossvalidation)