Run
298123

Run 298123

Task 145 (Supervised Classification) BNG(cmc,nominal,55296) Uploaded 17-03-2015 by Jan van Rijn
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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
0.7028
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5234
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2627
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11231.0813
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.375
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4309
Cross-validation details (10-fold Crossvalidation)
Number of instances
55296
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5254
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5226
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5394
Cross-validation details (10-fold Crossvalidation)
Recall
0.5226
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8702
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4642
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4364
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9402
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1354.3488
UserCPU time millis
6290
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
590
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
5700
Cross-validation details (10-fold Crossvalidation)