DEVELOPMENT... OpenML
Run
168805

Run 168805

Task 3774 (Supervised Classification) fri_c2_250_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
0.8513
Per class
F measure
0.8126
Per class
Kappa
0.6226
KB relative information score
148.6137
Mean absolute error
0.2012
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8164
Per class
Predictive accuracy
0.812
Prior entropy
0.9898
Recall
0.812
Per class
Relative absolute error
0.4083
Root mean prior squared error
0.4964
Root mean squared error
0.4274
Root relative squared error
0.861
SciMark benchmark
927.0753
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20