Run
22484

Run 22484

Task 2065 (Supervised Classification) primary-tumor Uploaded 22-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_NaiveBayes(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_NaiveBayes(1)_I80
weka.AdaBoostM1_NaiveBayes(1)_P100
weka.AdaBoostM1_NaiveBayes(1)_S1
weka.AdaBoostM1_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7582
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4664
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4408
Cross-validation details (10-fold Crossvalidation)
KB relative information score
70.7118
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0714
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0812
Cross-validation details (10-fold Crossvalidation)
Number of instances
339
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4457
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5074
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.5074
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8797
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.192
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9549
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.1005[555.8446888587833997.3886993266503483.0147548568529913.39368876640651770.860427897459]