Run
16976

Run 16976

Task 7 (Supervised Classification) audiology Uploaded 06-06-2014 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)_I10
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
0.9286
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7819
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7704
Cross-validation details (10-fold Crossvalidation)
KB relative information score
154.2555
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0183
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0724
Cross-validation details (10-fold Crossvalidation)
Number of instances
226
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
0.7731
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8053
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6349
Cross-validation details (10-fold Crossvalidation)
Recall
0.8053
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2524
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1893
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1233
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6515
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.7996[562.29550002336991015.5230404536866484.5405689113658908.64471704177161767.9939646936223]