DEVELOPMENT... OpenML
Run
23489

Run 23489

Task 2076 (Supervised Classification) kropt Uploaded 25-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(1)_I10
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.813
Per class
F measure
0.5042
Per class
Kappa
0.4464
KB relative information score
14562.7941
Mean absolute error
0.0609
Mean prior absolute error
0.0995
Number of instances
28056
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5049
Per class
Predictive accuracy
0.505
Prior entropy
3.5053
Recall
0.505
Per class
Relative absolute error
0.6114
Root mean prior squared error
0.2231
Root mean squared error
0.2027
Root relative squared error
0.9086
SciMark benchmark
939.1421[538.51210997983561013.6533323510344480.85168147774846908.32989414330441754.3633351405556]