Run
537768

Run 537768

Task 10107 (Supervised Classification) iris Uploaded 17-03-2016 by Andrey Ustyuzhanin
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  • NumPy_1.10.1. openml_run Python_2.7.10. SciPy_0.16.0. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.16.1. Thu_Mar_17_13.03.18_2016
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Flow

sklearn.ensemble.forest.RandomForestClassifier(9)Flow generated by openml_run
sklearn.ensemble.forest.RandomForestClassifier(9)_warm_startFalse
sklearn.ensemble.forest.RandomForestClassifier(9)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(9)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(9)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(9)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(9)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(9)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(9)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(9)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(9)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(9)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(9)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(9)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(9)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(9)_class_weightNone

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.99
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9467
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.92
Cross-validation details (10-fold Crossvalidation)
KB relative information score
137.5162
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0436
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9467
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9467
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9467
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.098
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1578
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3347
Cross-validation details (10-fold Crossvalidation)