DEVELOPMENT... OpenML
Run
168260

Run 168260

Task 3635 (Supervised Classification) fri_c1_250_50 Uploaded 19-02-2015 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)_I20
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
0.7123
Per class
F measure
0.6541
Per class
Kappa
0.3002
KB relative information score
76.1058
Mean absolute error
0.3431
Mean prior absolute error
0.4954
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
0.6543
Per class
Predictive accuracy
0.656
Prior entropy
0.9934
Recall
0.656
Per class
Relative absolute error
0.6925
Root mean prior squared error
0.4977
Root mean squared error
0.5676
Root relative squared error
1.1406
SciMark benchmark
945.6434
UserCPU time millis
330
UserCPU time millis testing
100
UserCPU time millis training
230