DEVELOPMENT... OpenML
Run
166057

Run 166057

Task 3705 (Supervised Classification) autoHorse 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)_I160
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
0.9652
Per class
F measure
0.9657
Per class
Kappa
0.9285
KB relative information score
190.2729
Mean absolute error
0.0338
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
0.9667
Per class
Predictive accuracy
0.9659
Prior entropy
0.9742
Recall
0.9659
Per class
Relative absolute error
0.07
Root mean prior squared error
0.4909
Root mean squared error
0.1826
Root relative squared error
0.372
SciMark benchmark
894.7455
UserCPU time millis
750
UserCPU time millis testing
230
UserCPU time millis training
520