Run
16062

Run 16062

Task 21 (Supervised Classification) car 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)_I20
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
0.9801
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9567
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9058
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1488.9178
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0318
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
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
0.9571
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9566
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9566
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1388
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1473
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.7867[564.6619124438491015.7907504114269479.99187728791736914.34953743383911769.1394630054465]