Run
340921

Run 340921

Task 260 (Supervised Classification) page-blocks 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
0.9794
Per class
Cross-validation details (33% Holdout set)
F measure
0.9602
Per class
Cross-validation details (33% Holdout set)
Kappa
0.783
Cross-validation details (33% Holdout set)
KB relative information score
1116.2427
Cross-validation details (33% Holdout set)
Mean absolute error
0.0265
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0747
Cross-validation details (33% Holdout set)
Number of instances
1806
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9627
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.959
Cross-validation details (33% Holdout set)
Prior entropy
0.6391
Cross-validation details (33% Holdout set)
Recall
0.959
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.354
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.1912
Cross-validation details (33% Holdout set)
Root mean squared error
0.1141
Cross-validation details (33% Holdout set)
Root relative squared error
0.5968
Cross-validation details (33% Holdout set)
SciMark benchmark
1317.6232
UserCPU time millis
5200
Cross-validation details (33% Holdout set)
UserCPU time millis testing
170
Cross-validation details (33% Holdout set)
UserCPU time millis training
5030
Cross-validation details (33% Holdout set)