Run
22217

Run 22217

Task 39 (Supervised Classification) sonar Uploaded 21-06-2014 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
0.9045
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8847
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7688
Cross-validation details (10-fold Crossvalidation)
KB relative information score
152.4328
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1351
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4978
Cross-validation details (10-fold Crossvalidation)
Number of instances
208
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
0.8855
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8846
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9968
Cross-validation details (10-fold Crossvalidation)
Recall
0.8846
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2714
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.336
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6736
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
900.893[531.45661350856691012.5880246437401474.2676028917832908.64471704177161577.5081241253995]