DEVELOPMENT... OpenML
Run
168798

Run 168798

Task 3767 (Supervised Classification) fri_c0_1000_50 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
0.9238
Per class
F measure
0.847
Per class
Kappa
0.6939
KB relative information score
693.7047
Mean absolute error
0.1532
Mean prior absolute error
0.4998
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.847
Per class
Predictive accuracy
0.847
Prior entropy
0.9997
Recall
0.847
Per class
Relative absolute error
0.3066
Root mean prior squared error
0.4999
Root mean squared error
0.3734
Root relative squared error
0.7469
SciMark benchmark
927.0753
UserCPU time millis
630
UserCPU time millis testing
200
UserCPU time millis training
430