DEVELOPMENT... OpenML
Run
187200

Run 187200

Task 3549 (Supervised Classification) analcatdata_authorship Uploaded 25-02-2015 by Felicia West
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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
0.9954
Per class
F measure
0.95
Per class
Kappa
0.9273
KB relative information score
776.5825
Mean absolute error
0.0296
Mean prior absolute error
0.3439
Number of instances
841
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9501
Per class
Predictive accuracy
0.9501
Prior entropy
1.7898
Recall
0.9501
Per class
Relative absolute error
0.0861
Root mean prior squared error
0.4146
Root mean squared error
0.138
Root relative squared error
0.3328
SciMark benchmark
1250.8301
UserCPU time millis
11120
UserCPU time millis testing
110
UserCPU time millis training
11010