DEVELOPMENT... OpenML
Run
168529

Run 168529

Task 2065 (Supervised Classification) primary-tumor 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
0.762
Per class
F measure
0.4616
Per class
Kappa
0.4343
KB relative information score
74.7031
Mean absolute error
0.0709
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4396
Per class
Predictive accuracy
0.5015
Prior entropy
3.7542
Recall
0.5015
Per class
Relative absolute error
0.873
Root mean prior squared error
0.2011
Root mean squared error
0.1908
Root relative squared error
0.9491
SciMark benchmark
942.3168
UserCPU time millis
40
UserCPU time millis testing
10
UserCPU time millis training
30