DEVELOPMENT... OpenML
Run
186811

Run 186811

Task 248 (Supervised Classification) mfeat-morphological 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
0.9528
Per class
F measure
0.7228
Per class
Kappa
0.695
KB relative information score
471.3653
Mean absolute error
0.0737
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7264
Per class
Predictive accuracy
0.7258
Prior entropy
3.3219
Recall
0.7258
Per class
Relative absolute error
0.4094
Root mean prior squared error
0.3
Root mean squared error
0.1946
Root relative squared error
0.6487
SciMark benchmark
1309.3173
UserCPU time millis
1170
UserCPU time millis testing
150
UserCPU time millis training
1020