Run
15682

Run 15682

Task 15 (Supervised Classification) breast-w Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(1)_I20
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(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
0.9317
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9369
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8601
Cross-validation details (10-fold Crossvalidation)
KB relative information score
597.094
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.063
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
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
0.9369
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9371
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9371
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1394
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2482
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5222
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.8408[567.78666173126961016.0585376856843484.1035797902428911.80521739130441759.4501199261804]