Run
10594060

Run 10594060

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 16-08-2023 by fry von
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Flow

vonfry-test-flow(1)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. For a comparison between tree-based ensemble models see the example :ref:`sphx_glr_auto_examples_ensemble_plot_forest_hist_grad_boosting_comparison.py`.
vonfry-test-flow(1)_bootstraptrue
vonfry-test-flow(1)_ccp_alpha0.0
vonfry-test-flow(1)_class_weightnull
vonfry-test-flow(1)_criterion"gini"
vonfry-test-flow(1)_max_depthnull
vonfry-test-flow(1)_max_features"sqrt"
vonfry-test-flow(1)_max_leaf_nodesnull
vonfry-test-flow(1)_max_samplesnull
vonfry-test-flow(1)_min_impurity_decrease0.0
vonfry-test-flow(1)_min_samples_leaf1
vonfry-test-flow(1)_min_samples_split2
vonfry-test-flow(1)_min_weight_fraction_leaf0.0
vonfry-test-flow(1)_n_estimators100
vonfry-test-flow(1)_n_jobsnull
vonfry-test-flow(1)_oob_scorefalse
vonfry-test-flow(1)_random_state54267
vonfry-test-flow(1)_verbose0
vonfry-test-flow(1)_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

0.9838 ± 0.0027
Per class
Cross-validation details (10-fold Crossvalidation)
0.9332 ± 0.0034
Per class
Cross-validation details (10-fold Crossvalidation)
0.8648 ± 0.0068
Cross-validation details (10-fold Crossvalidation)
0.6372 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
0.2027 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
0.9334 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
14980
Per class
Cross-validation details (10-fold Crossvalidation)
0.9338 ± 0.0035
Per class
Cross-validation details (10-fold Crossvalidation)
0.9334 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
0.9924 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.4097 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2614 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
0.5255 ± 0.007
Cross-validation details (10-fold Crossvalidation)
0.9306 ± 0.0034
Cross-validation details (10-fold Crossvalidation)