Run
22657

Run 22657

Task 4 (Supervised Classification) labor Uploaded 22-06-2014 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
0.9554
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8578
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6846
Cross-validation details (10-fold Crossvalidation)
KB relative information score
35.7011
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1752
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
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
0.8583
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8596
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.8596
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3833
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2934
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6147
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.9348[554.9604104800521007.294835592371476.7947510829143890.13244802130791755.4913676401159]