DEVELOPMENT... OpenML
Run
166817

Run 166817

Task 3635 (Supervised Classification) fri_c1_250_50 Uploaded 18-02-2015 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)_I80
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
0.6749
Per class
F measure
0.6525
Per class
Kappa
0.3002
KB relative information score
69.0275
Mean absolute error
0.358
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
0.6536
Per class
Predictive accuracy
0.652
Prior entropy
0.9934
Recall
0.652
Per class
Relative absolute error
0.7227
Root mean prior squared error
0.4977
Root mean squared error
0.5725
Root relative squared error
1.1504
SciMark benchmark
923.7642
UserCPU time millis
190
UserCPU time millis testing
50
UserCPU time millis training
140