DEVELOPMENT... OpenML
Run
186925

Run 186925

Task 1881 (Supervised Classification) anneal 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
0.9865
Per class
F measure
0.9862
Per class
Kappa
0.9658
KB relative information score
8349.1544
Mean absolute error
0.0062
Mean prior absolute error
0.1343
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9861
Per class
Predictive accuracy
0.9864
Prior entropy
1.2149
Recall
0.9864
Per class
Relative absolute error
0.0458
Root mean prior squared error
0.2582
Root mean squared error
0.066
Root relative squared error
0.2555
SciMark benchmark
1315.3881
UserCPU time millis
3160
UserCPU time millis testing
160
UserCPU time millis training
3000