DEVELOPMENT... OpenML
Run
168839

Run 168839

Task 3806 (Supervised Classification) fri_c0_500_10 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
0.9538
Per class
F measure
0.8659
Per class
Kappa
0.7314
KB relative information score
367.6637
Mean absolute error
0.1325
Mean prior absolute error
0.4994
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8662
Per class
Predictive accuracy
0.866
Prior entropy
0.9991
Recall
0.866
Per class
Relative absolute error
0.2653
Root mean prior squared error
0.4997
Root mean squared error
0.3429
Root relative squared error
0.6863
SciMark benchmark
927.0753
UserCPU time millis
90
UserCPU time millis testing
20
UserCPU time millis training
70