DEVELOPMENT... OpenML
Run
168762

Run 168762

Task 3732 (Supervised Classification) fri_c4_100_25 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
0.757
Per class
F measure
0.6488
Per class
Kappa
0.2921
KB relative information score
30.8144
Mean absolute error
0.3419
Mean prior absolute error
0.4969
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6488
Per class
Predictive accuracy
0.65
Prior entropy
0.9956
Recall
0.65
Per class
Relative absolute error
0.688
Root mean prior squared error
0.4984
Root mean squared error
0.5516
Root relative squared error
1.1067
SciMark benchmark
927.0753
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40