DEVELOPMENT... OpenML
Run
186910

Run 186910

Task 1786 (Supervised Classification) mfeat-zernike Uploaded 25-02-2015 by Jason
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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
0.882
Per class
F measure
0.6312
Per class
Kappa
0.586
KB relative information score
6006.8431
Mean absolute error
0.0836
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6362
Per class
Predictive accuracy
0.6274
Prior entropy
3.3219
Recall
0.6274
Per class
Relative absolute error
0.4643
Root mean prior squared error
0.3
Root mean squared error
0.2411
Root relative squared error
0.8037
SciMark benchmark
1368.9272
UserCPU time millis
73380
UserCPU time millis testing
1100
UserCPU time millis training
72280