Run
544314

Run 544314

Task 10 (Supervised Classification) lymph Uploaded 31-03-2016 by Pieter Gijsbers
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  • 03-31-16_16.44.55 NumPy_1.10.4. Python_2.7.11. run_task SciPy_0.17.0. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.17.
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Flow

sklearn.ensemble.forest.RandomForestClassifier(8)Flow generated by openml_run
sklearn.ensemble.forest.RandomForestClassifier(8)_warm_startFalse
sklearn.ensemble.forest.RandomForestClassifier(8)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(8)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(8)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(8)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(8)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(8)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(8)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(8)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(8)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(8)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(8)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(8)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(8)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(8)_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
0.9147
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8105
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6423
Cross-validation details (10-fold Crossvalidation)
KB relative information score
81.4727
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1324
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8228
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8176
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8176
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4946
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2532
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6958
Cross-validation details (10-fold Crossvalidation)