DEVELOPMENT... OpenML
Run
168641

Run 168641

Task 3610 (Supervised Classification) fri_c3_250_5 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
0.7889
Per class
F measure
0.7326
Per class
Kappa
0.4541
KB relative information score
111.4821
Mean absolute error
0.2724
Mean prior absolute error
0.4919
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7355
Per class
Predictive accuracy
0.736
Prior entropy
0.9883
Recall
0.736
Per class
Relative absolute error
0.5538
Root mean prior squared error
0.4959
Root mean squared error
0.491
Root relative squared error
0.9901
SciMark benchmark
931.2336
UserCPU time millis
20
UserCPU time millis training
20