| Issue | #Downvotes for this reason | By |
|---|
| 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)_bootstrap | true |
| vonfry-test-flow(1)_ccp_alpha | 0.0 |
| vonfry-test-flow(1)_class_weight | null |
| vonfry-test-flow(1)_criterion | "gini" |
| vonfry-test-flow(1)_max_depth | null |
| vonfry-test-flow(1)_max_features | "sqrt" |
| vonfry-test-flow(1)_max_leaf_nodes | null |
| vonfry-test-flow(1)_max_samples | null |
| vonfry-test-flow(1)_min_impurity_decrease | 0.0 |
| vonfry-test-flow(1)_min_samples_leaf | 1 |
| vonfry-test-flow(1)_min_samples_split | 2 |
| vonfry-test-flow(1)_min_weight_fraction_leaf | 0.0 |
| vonfry-test-flow(1)_n_estimators | 100 |
| vonfry-test-flow(1)_n_jobs | null |
| vonfry-test-flow(1)_oob_score | false |
| vonfry-test-flow(1)_random_state | 54267 |
| vonfry-test-flow(1)_verbose | 0 |
| vonfry-test-flow(1)_warm_start | false |
0.9838 ± 0.0027 Per class Cross-validation details (10-fold Crossvalidation)
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0.9332 ± 0.0034 Per class Cross-validation details (10-fold Crossvalidation)
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0.8648 ± 0.0068 Cross-validation details (10-fold Crossvalidation)
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0.6372 ± 0.0045 Cross-validation details (10-fold Crossvalidation)
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0.2027 ± 0.0021 Cross-validation details (10-fold Crossvalidation)
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0.4948 ± 0 Cross-validation details (10-fold Crossvalidation)
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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)
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0.9334 ± 0.0034 Cross-validation details (10-fold Crossvalidation)
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0.9924 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
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0.4097 ± 0.0043 Cross-validation details (10-fold Crossvalidation)
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0.4974 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.2614 ± 0.0035 Cross-validation details (10-fold Crossvalidation)
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0.5255 ± 0.007 Cross-validation details (10-fold Crossvalidation)
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0.9306 ± 0.0034 Cross-validation details (10-fold Crossvalidation)
|