DEVELOPMENT... OpenML
Run
155365

Run 155365

Task 1731 (Learning Curve) pendigits Uploaded 11-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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
0.9917 ± 0.0017
Per class
F measure
0.9533 ± 0.0066
Per class
Kappa
0.948 ± 0.0074
KB relative information score
0.9173 ± 0.0081
Mean absolute error
0.0225 ± 0.0019
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9533 ± 0.0066
Per class
Predictive accuracy
0.9532 ± 0.0066
Prior entropy
3.3208 ± 0.0002
Recall
0.9532 ± 0.0066
Per class
Relative absolute error
0.1252 ± 0.0108
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.093 ± 0.0057
Root relative squared error
0.3101 ± 0.019
SciMark benchmark
646.4525
UserCPU time millis
100240
UserCPU time millis testing
3680
UserCPU time millis training
96560