Run
16750

Run 16750

Task 53 (Supervised Classification) vehicle Uploaded 05-06-2014 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)_I40
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
0.7835
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6779
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.568
Cross-validation details (10-fold Crossvalidation)
KB relative information score
515.9154
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1619
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
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
0.6809
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6761
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.6761
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.432
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4024
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9295
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.03[569.2691585803854988.9427617233548469.9088768785109913.71210817040291758.3171307218695]