DEVELOPMENT... OpenML
Run
187332

Run 187332

Task 3704 (Supervised Classification) kdd_el_nino-small 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
0.982
Per class
F measure
0.9502
Per class
Kappa
0.8907
KB relative information score
657.7613
Mean absolute error
0.0771
Mean prior absolute error
0.4553
Number of instances
782
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9503
Per class
Predictive accuracy
0.9501
Prior entropy
0.9348
Recall
0.9501
Per class
Relative absolute error
0.1693
Root mean prior squared error
0.4771
Root mean squared error
0.2034
Root relative squared error
0.4264
SciMark benchmark
1250.8301
UserCPU time millis
170
UserCPU time millis training
170

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