DEVELOPMENT... OpenML
Run
167619

Run 167619

Task 3705 (Supervised Classification) autoHorse 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
0.9733
Per class
F measure
0.9706
Per class
Kappa
0.9388
KB relative information score
192.2026
Mean absolute error
0.0294
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9713
Per class
Predictive accuracy
0.9707
Prior entropy
0.9742
Recall
0.9707
Per class
Relative absolute error
0.0611
Root mean prior squared error
0.4909
Root mean squared error
0.1711
Root relative squared error
0.3485
SciMark benchmark
941.7954
UserCPU time millis
220
UserCPU time millis testing
70
UserCPU time millis training
150