Run
21105

Run 21105

Task 51 (Supervised Classification) trains Uploaded 18-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(1)_I160
weka.AdaBoostM1_LADTree(1)_P100
weka.AdaBoostM1_LADTree(1)_S1
weka.AdaBoostM1_LADTree(1)_Wweka.classifiers.trees.LADTree
weka.LADTree(1)_B10

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
0.54
Per class
F measure
0.4949
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.9696
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5488
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
10
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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0977
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.7234
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4468
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
925.7181[555.8446888587833922.4294017787272484.3219757802961912.7575910626911753.2370197795062]