Run
505943

Run 505943

Task 10052 (Learning Curve) hiva_agnostic Uploaded 15-01-2016 by Joaquin Vanschoren
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Flow

weka.NBTree(6)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
0.6637 ± 0.0958
Per class
F measure
0.9563 ± 0.0065
Per class
Kappa
0.295 ± 0.1194
KB relative information score
-843.0439 ± 61.1476
Mean absolute error
0.0554 ± 0.0049
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.9533 ± 0.0094
Per class
Predictive accuracy
0.9607 ± 0.0067
Prior entropy
0.221
Recall
0.9607 ± 0.0067
Per class
Relative absolute error
0.813 ± 0.0694
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.1916 ± 0.0137
Root relative squared error
1.0391 ± 0.0726
SciMark benchmark
816.9148
UserCPU time millis
24725170
UserCPU time millis testing
4640
UserCPU time millis training
24720530