Run
22344

Run 22344

Task 13 (Supervised Classification) breast-cancer Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(1)_I80
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1

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
0.6678
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6936
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2549
Cross-validation details (10-fold Crossvalidation)
KB relative information score
59.9535
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3084
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
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
0.6895
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6993
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10-fold Crossvalidation)
Recall
0.6993
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7372
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5159
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1287
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.98[560.30860489012831014.7209476623404482.14720472367435885.32253643874941717.4005119951792]