Run
9575

Run 9575

Task 55 (Supervised Classification) vote Uploaded 22-05-2014 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_DecisionStump(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_DecisionStump(1)_I40
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.9911
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9586
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9127
Cross-validation details (10-fold Crossvalidation)
KB relative information score
394.7355
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.044
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4742
Cross-validation details (10-fold Crossvalidation)
Number of instances
435
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
0.9586
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9586
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9627
Cross-validation details (10-fold Crossvalidation)
Recall
0.9586
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0929
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1788
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3672
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.6602[554.2550361521621014.4538648883195482.14720472367435908.64471704177161753.8001309030865]