DEVELOPMENT... OpenML
Run
168915

Run 168915

Task 3882 (Supervised Classification) pendigits Uploaded 20-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I10
weka.MultiBoostAB_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.

22 Evaluation measures

Area under ROC curve
0.9751
Per class
F measure
0.9734
Per class
Kappa
0.8622
KB relative information score
8772.2127
Mean absolute error
0.0294
Mean prior absolute error
0.1865
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9755
Per class
Predictive accuracy
0.9724
Prior entropy
0.482
Recall
0.9724
Per class
Relative absolute error
0.1578
Root mean prior squared error
0.3054
Root mean squared error
0.1653
Root relative squared error
0.5413
SciMark benchmark
931.2336
UserCPU time millis
2500
UserCPU time millis testing
780
UserCPU time millis training
1720