DEVELOPMENT... OpenML
Run
166971

Run 166971

Task 3789 (Supervised Classification) fri_c0_500_25 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)_I80
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
0.9215
Per class
F measure
0.85
Per class
Kappa
0.7
KB relative information score
343.9852
Mean absolute error
0.1573
Mean prior absolute error
0.4998
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8501
Per class
Predictive accuracy
0.85
Prior entropy
0.9997
Recall
0.85
Per class
Relative absolute error
0.3148
Root mean prior squared error
0.4999
Root mean squared error
0.3641
Root relative squared error
0.7283
SciMark benchmark
945.6434
UserCPU time millis
410
UserCPU time millis testing
120
UserCPU time millis training
290