DEVELOPMENT... OpenML
Run
166904

Run 166904

Task 3722 (Supervised Classification) hungarian 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
0.877
Per class
F measure
0.8464
Per class
Kappa
0.666
KB relative information score
172.5101
Mean absolute error
0.1936
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8461
Per class
Predictive accuracy
0.8469
Prior entropy
0.9439
Recall
0.8469
Per class
Relative absolute error
0.4196
Root mean prior squared error
0.4802
Root mean squared error
0.356
Root relative squared error
0.7415
SciMark benchmark
923.7642
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20