Run
1664321

Run 1664321

Task 3560 (Supervised Classification) analcatdata_dmft Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.Stacking_RandomTree(2)David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.Stacking_RandomTree(2)_Mtrue
weka.Stacking_RandomTree(2)_X10
weka.Stacking_RandomTree(2)_S1
weka.Stacking_RandomTree(2)_num-slots1
weka.Stacking_RandomTree(2)_Bweka.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
0.49
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0633
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5912
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2774
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2774
Cross-validation details (10-fold Crossvalidation)
Number of instances
797
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0378
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1945
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5803
Cross-validation details (10-fold Crossvalidation)
Recall
0.1945
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3724
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3724
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)