Run
10591686

Run 10591686

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 31-10-2022 by Husam Abdulnabi
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Flow

sklearn.ensemble._forest.RandomForestClassifier(17)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(17)_bootstraptrue
sklearn.ensemble._forest.RandomForestClassifier(17)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(17)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(17)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(17)_max_depthnull
sklearn.ensemble._forest.RandomForestClassifier(17)_max_features"sqrt"
sklearn.ensemble._forest.RandomForestClassifier(17)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(17)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(17)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(17)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(17)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(17)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(17)_n_estimators100
sklearn.ensemble._forest.RandomForestClassifier(17)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(17)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(17)_random_state29139
sklearn.ensemble._forest.RandomForestClassifier(17)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(17)_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

0.6836 ± 0.0665
Per class
Cross-validation details (10-fold Crossvalidation)
0.7308 ± 0.0563
Per class
Cross-validation details (10-fold Crossvalidation)
0.2238 ± 0.1643
Cross-validation details (10-fold Crossvalidation)
0.0972 ± 0.1023
Cross-validation details (10-fold Crossvalidation)
0.3017 ± 0.0275
Cross-validation details (10-fold Crossvalidation)
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
0.7473 ± 0.0506
Cross-validation details (10-fold Crossvalidation)
748
Per class
Cross-validation details (10-fold Crossvalidation)
0.7225 ± 0.0629
Per class
Cross-validation details (10-fold Crossvalidation)
0.7473 ± 0.0506
Cross-validation details (10-fold Crossvalidation)
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.8311 ± 0.0748
Cross-validation details (10-fold Crossvalidation)
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.4276 ± 0.0316
Cross-validation details (10-fold Crossvalidation)
1.004 ± 0.0742
Cross-validation details (10-fold Crossvalidation)
0.6005 ± 0.0783
Cross-validation details (10-fold Crossvalidation)