DEVELOPMENT... OpenML
Run
187102

Run 187102

Task 20 (Supervised Classification) mfeat-pixel 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
0.978
Per class
F measure
0.9345
Per class
Kappa
0.9272
KB relative information score
1864.848
Mean absolute error
0.0132
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9353
Per class
Predictive accuracy
0.9345
Prior entropy
3.3219
Recall
0.9345
Per class
Relative absolute error
0.0731
Root mean prior squared error
0.3
Root mean squared error
0.1122
Root relative squared error
0.3739
SciMark benchmark
1307.4861
UserCPU time millis
2233320
UserCPU time millis testing
5670
UserCPU time millis training
2227650