DEVELOPMENT... OpenML
Run
187497

Run 187497

Task 3898 (Supervised Classification) kc1-top5 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
0.4922
Per class
F measure
0.9041
Per class
Kappa
0.1567
KB relative information score
-63.0375
Mean absolute error
0.1145
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9126
Per class
Predictive accuracy
0.8966
Prior entropy
0.3323
Recall
0.8966
Per class
Relative absolute error
1.0443
Root mean prior squared error
0.2284
Root mean squared error
0.3151
Root relative squared error
1.3796
SciMark benchmark
915.0395
UserCPU time millis
1210
UserCPU time millis training
1210