DEVELOPMENT... OpenML
Run
165762

Run 165762

Task 2073 (Supervised Classification) yeast Uploaded 17-02-2015 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)_I160
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
0.729
Per class
F measure
0.5664
Per class
Kappa
0.4525
KB relative information score
67.0357
Mean absolute error
0.1748
Mean prior absolute error
0.1555
Number of instances
1484
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5825
Per class
Predictive accuracy
0.5768
Prior entropy
2.5035
Recall
0.5768
Per class
Relative absolute error
1.1239
Root mean prior squared error
0.2787
Root mean squared error
0.2916
Root relative squared error
1.0464
SciMark benchmark
941.7954
UserCPU time millis
560
UserCPU time millis testing
170
UserCPU time millis training
390