Run
15999

Run 15999

Task 4 (Supervised Classification) labor Uploaded 04-06-2014 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)_I80
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
0.9703
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8746
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7208
Cross-validation details (10-fold Crossvalidation)
KB relative information score
37.5808
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1615
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
0.8776
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8772
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.8772
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3534
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2746
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5753
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.8875[563.93167687387211015.7907504114269480.4214203123994908.01521433887441766.2785639901995]