Run
341086

Run 341086

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 27-03-2015 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
0.7044
Per class
Cross-validation details (33% Holdout set)
F measure
0.7402
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3333
Cross-validation details (33% Holdout set)
KB relative information score
3.955
Cross-validation details (33% Holdout set)
Mean absolute error
0.1663
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7454
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.75
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.75
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7396
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.3296
Cross-validation details (33% Holdout set)
Root relative squared error
1.0649
Cross-validation details (33% Holdout set)
SciMark benchmark
1351.3088
UserCPU time millis
900
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
890
Cross-validation details (33% Holdout set)