Run
10587946

Run 10587946

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 19-09-2022 by VAIBHAV JAISWAL
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Flow

sklearn.ensemble._forest.RandomForestClassifier(12)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(12)_bootstraptrue
sklearn.ensemble._forest.RandomForestClassifier(12)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(12)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(12)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(12)_max_depthnull
sklearn.ensemble._forest.RandomForestClassifier(12)_max_features"auto"
sklearn.ensemble._forest.RandomForestClassifier(12)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(12)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(12)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(12)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(12)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(12)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(12)_n_estimators100
sklearn.ensemble._forest.RandomForestClassifier(12)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(12)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(12)_random_state21877
sklearn.ensemble._forest.RandomForestClassifier(12)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(12)_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

0.6799 ± 0.0635
Per class
Cross-validation details (10-fold Crossvalidation)
0.7298 ± 0.0476
Per class
Cross-validation details (10-fold Crossvalidation)
0.2142 ± 0.1394
Cross-validation details (10-fold Crossvalidation)
0.0927 ± 0.0958
Cross-validation details (10-fold Crossvalidation)
0.3024 ± 0.0254
Cross-validation details (10-fold Crossvalidation)
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
0.7513 ± 0.043
Cross-validation details (10-fold Crossvalidation)
748
Per class
Cross-validation details (10-fold Crossvalidation)
0.7215 ± 0.0551
Per class
Cross-validation details (10-fold Crossvalidation)
0.7513 ± 0.043
Cross-validation details (10-fold Crossvalidation)
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.833 ± 0.0697
Cross-validation details (10-fold Crossvalidation)
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.4282 ± 0.0298
Cross-validation details (10-fold Crossvalidation)
1.0056 ± 0.0702
Cross-validation details (10-fold Crossvalidation)
0.5934 ± 0.0655
Cross-validation details (10-fold Crossvalidation)