DEVELOPMENT... OpenML
Run
186926

Run 186926

Task 1898 (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
0.9474
Per class
F measure
0.6928
Per class
Kappa
0.669
KB relative information score
14300.9617
Mean absolute error
0.0725
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
0.6973
Per class
Predictive accuracy
0.7021
Prior entropy
3.3219
Recall
0.7021
Per class
Relative absolute error
0.4028
Root mean prior squared error
0.3
Root mean squared error
0.2
Root relative squared error
0.6666
SciMark benchmark
1372.2145
UserCPU time millis
1100
UserCPU time millis testing
150
UserCPU time millis training
950