Run
22135

Run 22135

Task 2079 (Supervised Classification) eucalyptus 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)_I160
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
0.7381
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5773
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4557
Cross-validation details (10-fold Crossvalidation)
KB relative information score
367.2529
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1698
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
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
0.5843
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5747
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5747
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.542
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4113
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0394
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
902.9776[543.7158791903521012.3219999497024473.84898880647887910.22218605324211574.7789606278886]