DEVELOPMENT... OpenML
Run
10396

Run 10396

Task 39 (Supervised Classification) sonar Uploaded 22-05-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(1)_I160
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.9183
Per class
F measure
0.8121
Per class
Kappa
0.6221
KB relative information score
131.942
Mean absolute error
0.1803
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8126
Per class
Predictive accuracy
0.8125
Prior entropy
0.9968
Recall
0.8125
Per class
Relative absolute error
0.3621
Root mean prior squared error
0.4989
Root mean squared error
0.385
Root relative squared error
0.7718
SciMark benchmark
949.3116[567.41727621999961014.9881711071126488.5085743230882915.62691531260941760.017229859821]