Run
15466

Run 15466

Task 26 (Supervised Classification) nursery Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(1)_I160
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.9991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9987
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9982
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12917.8942
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (10-fold Crossvalidation)
Number of instances
12960
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
0.9986
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9988
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (10-fold Crossvalidation)
Recall
0.9988
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0018
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0223
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.0604
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
933.1173[549.7134313232403993.275748022838474.89683756077204906.7589715622941740.9415372331882]