DEVELOPMENT... OpenML
Run
187404

Run 187404

Task 3762 (Supervised Classification) analcatdata_negotiation 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
0.8479
Per class
F measure
0.8163
Per class
Kappa
0.5495
KB relative information score
39.2673
Mean absolute error
0.2333
Mean prior absolute error
0.4075
Number of instances
92
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8175
Per class
Predictive accuracy
0.8152
Prior entropy
0.8651
Recall
0.8152
Per class
Relative absolute error
0.5726
Root mean prior squared error
0.4503
Root mean squared error
0.3616
Root relative squared error
0.8031
SciMark benchmark
913.4252
UserCPU time millis
210
UserCPU time millis training
210