DEVELOPMENT... OpenML
Run
168855

Run 168855

Task 3821 (Supervised Classification) segment 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
0.9441
Per class
F measure
0.8637
Per class
Kappa
0.5602
KB relative information score
457.0651
Mean absolute error
0.155
Mean prior absolute error
0.2451
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9239
Per class
Predictive accuracy
0.8442
Prior entropy
0.5925
Recall
0.8442
Per class
Relative absolute error
0.6325
Root mean prior squared error
0.3499
Root mean squared error
0.3896
Root relative squared error
1.1133
SciMark benchmark
931.2336
UserCPU time millis
640
UserCPU time millis testing
200
UserCPU time millis training
440