DEVELOPMENT... OpenML
Run
168630

Run 168630

Task 3599 (Supervised Classification) machine_cpu 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
0.936
Per class
F measure
0.9432
Per class
Kappa
0.8569
KB relative information score
171.2826
Mean absolute error
0.0662
Mean prior absolute error
0.3933
Number of instances
209
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9446
Per class
Predictive accuracy
0.9426
Prior entropy
0.8417
Recall
0.9426
Per class
Relative absolute error
0.1684
Root mean prior squared error
0.4429
Root mean squared error
0.2408
Root relative squared error
0.5437
SciMark benchmark
931.2336
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20