DEVELOPMENT... OpenML
Run
168817

Run 168817

Task 3785 (Supervised Classification) fri_c2_100_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
0.7724
Per class
F measure
0.6826
Per class
Kappa
0.3443
KB relative information score
35.9786
Mean absolute error
0.308
Mean prior absolute error
0.4875
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
0.6869
Per class
Predictive accuracy
0.69
Prior entropy
0.9822
Recall
0.69
Per class
Relative absolute error
0.6318
Root mean prior squared error
0.4936
Root mean squared error
0.5248
Root relative squared error
1.0633
SciMark benchmark
927.0753
UserCPU time millis
100
UserCPU time millis testing
30
UserCPU time millis training
70