DEVELOPMENT... OpenML
Run
15801

Run 15801

Task 4 (Supervised Classification) labor 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)_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
F measure
0.8746
Per class
Kappa
0.7208
KB relative information score
37.5808
Mean absolute error
0.1615
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8776
Per class
Predictive accuracy
0.8772
Prior entropy
0.9393
Recall
0.8772
Per class
Relative absolute error
0.3534
Root mean prior squared error
0.4773
Root mean squared error
0.2746
Root relative squared error
0.5753
SciMark benchmark
943.6241[560.84905630822271016.0585376856843475.31730592400976909.2750179897271756.6205822745662]