Run
1672317

Run 1672317

Task 3485 (Supervised Classification) scene Uploaded 20-07-2016 by Jan van Rijn
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Flow

weka.Bagging_RandomTree(9)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.Bagging_RandomTree(9)_P100
weka.Bagging_RandomTree(9)_S1
weka.Bagging_RandomTree(9)_num-slots1
weka.Bagging_RandomTree(9)_I10
weka.Bagging_RandomTree(9)_Wweka.classifiers.trees.RandomTree

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.9261
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8833
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.569
Cross-validation details (10-fold Crossvalidation)
KB relative information score
871.2391
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1729
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8979
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.897
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.897
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5877
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2758
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7194
Cross-validation details (10-fold Crossvalidation)