DEVELOPMENT... OpenML
Run
187329

Run 187329

Task 3698 (Supervised Classification) bank32nh 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
0.8709
Per class
F measure
0.7856
Per class
Kappa
0.4828
KB relative information score
2803.1735
Mean absolute error
0.2883
Mean prior absolute error
0.4281
Number of instances
8192
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7932
Per class
Predictive accuracy
0.7982
Prior entropy
0.8937
Recall
0.7982
Per class
Relative absolute error
0.6733
Root mean prior squared error
0.4627
Root mean squared error
0.367
Root relative squared error
0.7932
SciMark benchmark
1250.8301
UserCPU time millis
1790
UserCPU time millis testing
140
UserCPU time millis training
1650