DEVELOPMENT... OpenML
Run
169655

Run 169655

Task 59 (Supervised Classification) iris 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
0.9822
Per class
F measure
0.96
Per class
Kappa
0.94
KB relative information score
141.7567
Mean absolute error
0.0268
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9605
Per class
Predictive accuracy
0.96
Prior entropy
1.585
Recall
0.96
Per class
Relative absolute error
0.0603
Root mean prior squared error
0.4714
Root mean squared error
0.1632
Root relative squared error
0.3462
SciMark benchmark
931.2336
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20