DEVELOPMENT... OpenML
Run
168596

Run 168596

Task 3522 (Supervised Classification) tr11.wc 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
0.8668
Per class
F measure
0.6101
Per class
Kappa
0.5378
KB relative information score
232.2501
Mean absolute error
0.0873
Mean prior absolute error
0.1808
Number of instances
414
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.668
Per class
Predictive accuracy
0.6111
Prior entropy
2.7236
Recall
0.6111
Per class
Relative absolute error
0.4827
Root mean prior squared error
0.3004
Root mean squared error
0.2811
Root relative squared error
0.9359
SciMark benchmark
940.3346
UserCPU time millis
237530
UserCPU time millis testing
84560
UserCPU time millis training
152970