Run
57

Run 57

Task 9 (Supervised Classification) autos Uploaded 06-04-2014 by Jan van Rijn
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Flow

weka.RandomTree(1)Weka implementation of RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

Result files

xml
Description

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

arff
Predictions

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

19 Evaluation measures

Area under ROC curve
0.8696
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7653
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.694
Cross-validation details (10-fold Crossvalidation)
KB relative information score
143.6269
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0682
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.7734
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7659
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.7659
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3086
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2452
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7392
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1996.8156