Run
537750

Run 537750

Task 10107 (Supervised Classification) iris Uploaded 17-03-2016 by Andrey Ustyuzhanin
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  • NumPy_1.10.4. openml_run Python_3.5.1. SciPy_0.17.0. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.17.1. Thu_Mar_17_15.44.47_2016
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Flow

sklearn.ensemble.forest.RandomForestClassifier(10)Flow generated by openml_run
sklearn.ensemble.forest.RandomForestClassifier(10)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(10)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(10)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(10)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(10)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(10)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(10)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(10)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(10)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(10)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(10)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(10)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(10)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(10)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(10)_warm_startFalse

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
0.995
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.93
Cross-validation details (10-fold Crossvalidation)
KB relative information score
138.7264
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0391
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
0.9534
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9533
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.088
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1503
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3187
Cross-validation details (10-fold Crossvalidation)