DEVELOPMENT... OpenML
Run
168890

Run 168890

Task 3859 (Supervised Classification) prnn_fglass 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
0.7127
Per class
F measure
0.6274
Per class
Kappa
0.2744
KB relative information score
31.2302
Mean absolute error
0.3777
Mean prior absolute error
0.4584
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6947
Per class
Predictive accuracy
0.6215
Prior entropy
0.9397
Recall
0.6215
Per class
Relative absolute error
0.8239
Root mean prior squared error
0.4786
Root mean squared error
0.517
Root relative squared error
1.0804
SciMark benchmark
927.0753
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20