DEVELOPMENT... OpenML
Run
187417

Run 187417

Task 3767 (Supervised Classification) fri_c0_1000_50 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
0.9051
Per class
F measure
0.822
Per class
Kappa
0.6439
KB relative information score
479.8436
Mean absolute error
0.2767
Mean prior absolute error
0.4998
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.822
Per class
Predictive accuracy
0.822
Prior entropy
0.9997
Recall
0.822
Per class
Relative absolute error
0.5536
Root mean prior squared error
0.4999
Root mean squared error
0.3554
Root relative squared error
0.711
SciMark benchmark
926.4564
UserCPU time millis
220
UserCPU time millis testing
10
UserCPU time millis training
210