DEVELOPMENT... OpenML
Run
16196

Run 16196

Task 55 (Supervised Classification) vote Uploaded 04-06-2014 by Felicia West
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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)_I40
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
0.98
Per class
F measure
0.9472
Per class
Kappa
0.8888
KB relative information score
382.6507
Mean absolute error
0.0559
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9474
Per class
Predictive accuracy
0.9471
Prior entropy
0.9627
Recall
0.9471
Per class
Relative absolute error
0.1179
Root mean prior squared error
0.4869
Root mean squared error
0.2261
Root relative squared error
0.4644
SciMark benchmark
918.4686[559.2307353210181882.3054004290696483.0147548568529911.17140496421141756.6205822745662]