DEVELOPMENT... OpenML
Run
22135

Run 22135

Task 2079 (Supervised Classification) eucalyptus Uploaded 21-06-2014 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)_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
F measure
0.5773
Per class
Kappa
0.4557
KB relative information score
367.2529
Mean absolute error
0.1698
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5843
Per class
Predictive accuracy
0.5747
Prior entropy
2.2629
Recall
0.5747
Per class
Relative absolute error
0.542
Root mean prior squared error
0.3957
Root mean squared error
0.4113
Root relative squared error
1.0394
SciMark benchmark
902.9776[543.7158791903521012.3219999497024473.84898880647887910.22218605324211574.7789606278886]