DEVELOPMENT... OpenML
Run
168689

Run 168689

Task 3658 (Supervised Classification) fri_c3_250_10 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
0.666
Per class
F measure
0.6475
Per class
Kappa
0.2896
KB relative information score
60.4497
Mean absolute error
0.3817
Mean prior absolute error
0.4968
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
0.6472
Per class
Predictive accuracy
0.648
Prior entropy
0.9955
Recall
0.648
Per class
Relative absolute error
0.7683
Root mean prior squared error
0.4984
Root mean squared error
0.5311
Root relative squared error
1.0655
SciMark benchmark
931.2336
UserCPU time millis
10
UserCPU time millis training
10