DEVELOPMENT... OpenML
Run
186834

Run 186834

Task 262 (Supervised Classification) pendigits 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
0.9937
Per class
F measure
0.9471
Per class
Kappa
0.9412
KB relative information score
3337.6788
Mean absolute error
0.0204
Mean prior absolute error
0.18
Number of instances
3627
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9471
Per class
Predictive accuracy
0.9471
Prior entropy
3.3208
Recall
0.9471
Per class
Relative absolute error
0.1135
Root mean prior squared error
0.3
Root mean squared error
0.0943
Root relative squared error
0.3144
SciMark benchmark
1346.9602
UserCPU time millis
60630
UserCPU time millis testing
2280
UserCPU time millis training
58350