DEVELOPMENT... OpenML
Run
197944

Run 197944

Task 1892 (Supervised Classification) mfeat-factors Uploaded 27-02-2015 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
0.9575
Per class
F measure
0.8753
Per class
Kappa
0.8603
KB relative information score
17140.0578
Mean absolute error
0.0304
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8794
Per class
Predictive accuracy
0.8743
Prior entropy
3.3219
Recall
0.8743
Per class
Relative absolute error
0.1691
Root mean prior squared error
0.3
Root mean squared error
0.1445
Root relative squared error
0.4818
SciMark benchmark
1313.5726
UserCPU time millis
1273870
UserCPU time millis testing
5230
UserCPU time millis training
1268640