DEVELOPMENT... OpenML
Run
168616

Run 168616

Task 3586 (Supervised Classification) abalone 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
0.7378
Per class
F measure
0.7342
Per class
Kappa
0.4686
KB relative information score
1847.823
Mean absolute error
0.2822
Mean prior absolute error
0.5
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7347
Per class
Predictive accuracy
0.7343
Prior entropy
1
Recall
0.7343
Per class
Relative absolute error
0.5644
Root mean prior squared error
0.5
Root mean squared error
0.4996
Root relative squared error
0.9992
SciMark benchmark
931.2336
UserCPU time millis
410
UserCPU time millis testing
120
UserCPU time millis training
290