DEVELOPMENT... OpenML
Run
20936

Run 20936

Task 57 (Supervised Classification) ionosphere Uploaded 18-06-2014 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)_I10
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
0.9447
Per class
F measure
0.9339
Per class
Kappa
0.8553
KB relative information score
300.2974
Mean absolute error
0.064
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9347
Per class
Predictive accuracy
0.9345
Prior entropy
0.9425
Recall
0.9345
Per class
Relative absolute error
0.1389
Root mean prior squared error
0.4797
Root mean squared error
0.2488
Root relative squared error
0.5187
SciMark benchmark
947.4299[567.41727621999961016.0585376856843484.7593072718849908.32989414330441760.5845701777503]