Run
10560060

Run 10560060

Task 9957 (Supervised Classification) qsar-biodeg Uploaded 13-08-2021 by Sergey Redyuk
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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_state38704
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

0.9117 ± 0.0319
Per class
Cross-validation details (10-fold Crossvalidation)
0.858 ± 0.0304
Per class
Cross-validation details (10-fold Crossvalidation)
0.678 ± 0.0706
Cross-validation details (10-fold Crossvalidation)
0.553 ± 0.056
Cross-validation details (10-fold Crossvalidation)
0.2043 ± 0.0242
Cross-validation details (10-fold Crossvalidation)
0.4472 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
0.8607 ± 0.0284
Cross-validation details (10-fold Crossvalidation)
1055
Per class
Cross-validation details (10-fold Crossvalidation)
0.8592 ± 0.0292
Per class
Cross-validation details (10-fold Crossvalidation)
0.8607 ± 0.0284
Cross-validation details (10-fold Crossvalidation)
0.9223 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
0.4567 ± 0.0538
Cross-validation details (10-fold Crossvalidation)
0.4728 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
0.3246 ± 0.0309
Cross-validation details (10-fold Crossvalidation)
0.6865 ± 0.0652
Cross-validation details (10-fold Crossvalidation)
0.828 ± 0.0398
Cross-validation details (10-fold Crossvalidation)