DEVELOPMENT... OpenML
Run
168623

Run 168623

Task 3592 (Supervised Classification) fri_c2_100_5 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
0.8171
Per class
F measure
0.7727
Per class
Kappa
0.5217
KB relative information score
50.4597
Mean absolute error
0.2363
Mean prior absolute error
0.4804
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7829
Per class
Predictive accuracy
0.78
Prior entropy
0.9721
Recall
0.78
Per class
Relative absolute error
0.492
Root mean prior squared error
0.4899
Root mean squared error
0.4548
Root relative squared error
0.9283
SciMark benchmark
931.2336
UserCPU time millis
10
UserCPU time millis training
10