DEVELOPMENT... OpenML
Run
187496

Run 187496

Task 3913 (Supervised Classification) kc2 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
0.6835
Per class
F measure
0.8168
Per class
Kappa
0.3925
KB relative information score
158.9004
Mean absolute error
0.2121
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.825
Per class
Predictive accuracy
0.8391
Prior entropy
0.734
Recall
0.8391
Per class
Relative absolute error
0.6495
Root mean prior squared error
0.4037
Root mean squared error
0.3691
Root relative squared error
0.9144
SciMark benchmark
936.6084
UserCPU time millis
330
UserCPU time millis testing
10
UserCPU time millis training
320