DEVELOPMENT... OpenML
Run
167689

Run 167689

Task 3732 (Supervised Classification) fri_c4_100_25 Uploaded 19-02-2015 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)_I40
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
0.6854
Per class
F measure
0.6369
Per class
Kappa
0.2683
KB relative information score
25.8295
Mean absolute error
0.3681
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
0.6385
Per class
Predictive accuracy
0.64
Prior entropy
0.9956
Recall
0.64
Per class
Relative absolute error
0.7409
Root mean prior squared error
0.4984
Root mean squared error
0.587
Root relative squared error
1.1778
SciMark benchmark
941.7954
UserCPU time millis
70
UserCPU time millis testing
20
UserCPU time millis training
50