DEVELOPMENT... OpenML
Run
167112

Run 167112

Task 3938 (Supervised Classification) lymphoma_2classes 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
0.9545
Per class
F measure
0.9333
Per class
Kappa
0.8665
KB relative information score
39.008
Mean absolute error
0.0665
Mean prior absolute error
0.4998
Number of instances
45
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9341
Per class
Predictive accuracy
0.9333
Prior entropy
0.9997
Recall
0.9333
Per class
Relative absolute error
0.133
Root mean prior squared error
0.4999
Root mean squared error
0.2574
Root relative squared error
0.515
SciMark benchmark
936.6206
UserCPU time millis
180
UserCPU time millis testing
80
UserCPU time millis training
100