Run
21143

Run 21143

Task 9 (Supervised Classification) autos Uploaded 18-06-2014 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
0.9123
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8146
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7584
Cross-validation details (10-fold Crossvalidation)
KB relative information score
156.2744
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0535
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
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
0.8175
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8146
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.8146
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2424
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2233
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.673
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
929.3333[548.8485382806284955.5938565064722474.0582283856962906.44537908266061761.7203488120049]