Run
10594074

Run 10594074

Task 3954 (Supervised Classification) MagicTelescope Uploaded 22-12-2023 by Pratanu Mandal
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Flow

sklearn.ensemble._forest.RandomForestClassifier(39)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(39)_bootstraptrue
sklearn.ensemble._forest.RandomForestClassifier(39)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(39)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(39)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(39)_max_depthnull
sklearn.ensemble._forest.RandomForestClassifier(39)_max_features"sqrt"
sklearn.ensemble._forest.RandomForestClassifier(39)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(39)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(39)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(39)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(39)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(39)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(39)_n_estimators100
sklearn.ensemble._forest.RandomForestClassifier(39)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(39)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(39)_random_state43046
sklearn.ensemble._forest.RandomForestClassifier(39)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(39)_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

0.9366 ± 0.0061
Per class
Cross-validation details (10-fold Crossvalidation)
0.8805 ± 0.0062
Per class
Cross-validation details (10-fold Crossvalidation)
0.7347 ± 0.014
Cross-validation details (10-fold Crossvalidation)
0.5977 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
0.1943 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
0.456 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.8823 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
19020
Per class
Cross-validation details (10-fold Crossvalidation)
0.882 ± 0.006
Per class
Cross-validation details (10-fold Crossvalidation)
0.8823 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
0.9355 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.426 ± 0.0077
Cross-validation details (10-fold Crossvalidation)
0.4775 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.2987 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
0.6256 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
0.8574 ± 0.008
Cross-validation details (10-fold Crossvalidation)