Run
10560102

Run 10560102

Task 34537 (Supervised Classification) PhishingWebsites Uploaded 13-08-2021 by Sergey Redyuk
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Flow

sklearn.ensemble.forest.RandomForestClassifier(66)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 use averaging to improve the predictive accuracy and control over-fitting. The sub-sample size is always the same as the original input sample size but the samples are drawn with replacement if `bootstrap=True` (default).
sklearn.ensemble.forest.RandomForestClassifier(66)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(66)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(66)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(66)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(66)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(66)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(66)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(66)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(66)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(66)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(66)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(66)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(66)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(66)_random_state15805
sklearn.ensemble.forest.RandomForestClassifier(66)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(66)_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

0.9942 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
0.9724 ± 0.005
Per class
Cross-validation details (10-fold Crossvalidation)
0.944 ± 0.0101
Cross-validation details (10-fold Crossvalidation)
0.9084 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
0.0491 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.4935 ± 0
Cross-validation details (10-fold Crossvalidation)
0.9724 ± 0.005
Cross-validation details (10-fold Crossvalidation)
11055
Per class
Cross-validation details (10-fold Crossvalidation)
0.9724 ± 0.0049
Per class
Cross-validation details (10-fold Crossvalidation)
0.9724 ± 0.005
Cross-validation details (10-fold Crossvalidation)
0.9906 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.0995 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
0.4967 ± 0
Cross-validation details (10-fold Crossvalidation)
0.1489 ± 0.0093
Cross-validation details (10-fold Crossvalidation)
0.2998 ± 0.0187
Cross-validation details (10-fold Crossvalidation)
0.9716 ± 0.0054
Cross-validation details (10-fold Crossvalidation)