DEVELOPMENT... OpenML
Run
166922

Run 166922

Task 3740 (Supervised Classification) fri_c1_100_50 Uploaded 18-02-2015 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)_I80
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
0.5497
Per class
F measure
0.5808
Per class
Kappa
0.1519
KB relative information score
12.7527
Mean absolute error
0.4291
Mean prior absolute error
0.4929
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
0.5822
Per class
Predictive accuracy
0.58
Prior entropy
0.99
Recall
0.58
Per class
Relative absolute error
0.8704
Root mean prior squared error
0.4964
Root mean squared error
0.6493
Root relative squared error
1.308
SciMark benchmark
923.7642
UserCPU time millis
570
UserCPU time millis testing
190
UserCPU time millis training
380