Run
458596

Run 458596

Task 3564 (Supervised Classification) analcatdata_germangss Uploaded 03-07-2015 by Joaquin Vanschoren
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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.

22 Evaluation measures

Area under ROC curve
0.6519
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2907
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0533
Cross-validation details (10-fold Crossvalidation)
KB relative information score
75.1309
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3358
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.375
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2921
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.29
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2
Cross-validation details (10-fold Crossvalidation)
Recall
0.29
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8955
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.433
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4203
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9707
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.8002
UserCPU time millis training