DEVELOPMENT... OpenML
Run
126915

Run 126915

Task 258 (Supervised Classification) optdigits Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_NaiveBayes(2)_I20
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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.

21 Evaluation measures

Area under ROC curve
0.9816
Per class
Build CPU time
5.099
Build memory
1418979112
F measure
0.9184
Per class
Kappa
0.9089
KB relative information score
1611.0686
Mean absolute error
0.0388
Mean prior absolute error
0.18
Number of instances
1854
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9201
Per class
Predictive accuracy
0.918
Prior entropy
3.3218
Recall
0.918
Per class
Relative absolute error
0.2157
Root mean prior squared error
0.3
Root mean squared error
0.1143
Root relative squared error
0.3809
SciMark benchmark
908.8705