DEVELOPMENT... OpenML
Run
22905

Run 22905

Task 4 (Supervised Classification) labor Uploaded 23-06-2014 by Felicia West
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Flow

weka.NBTree(1)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.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9689
Per class
F measure
0.947
Per class
Kappa
0.8831
KB relative information score
42.9502
Mean absolute error
0.1168
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9474
Per class
Predictive accuracy
0.9474
Prior entropy
0.9393
Recall
0.9474
Per class
Relative absolute error
0.2556
Root mean prior squared error
0.4773
Root mean squared error
0.2293
Root relative squared error
0.4804
SciMark benchmark
938.3968[555.31379242088221014.7208839634673481.49857166643204910.53839766977511729.9123285235262]