DEVELOPMENT... OpenML
Run
23401

Run 23401

Task 39 (Supervised Classification) sonar Uploaded 24-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(1)_I80
weka.AdaBoostM1_IBk(1)_P100
weka.AdaBoostM1_IBk(1)_S1
weka.AdaBoostM1_IBk(1)_Wweka.classifiers.lazy.IBk
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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
0.8657
Per class
F measure
0.8552
Per class
Kappa
0.7087
KB relative information score
146.4656
Mean absolute error
0.148
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
0.8572
Per class
Predictive accuracy
0.8558
Prior entropy
0.9968
Recall
0.8558
Per class
Relative absolute error
0.2973
Root mean prior squared error
0.4989
Root mean squared error
0.3778
Root relative squared error
0.7573
SciMark benchmark
943.0123[549.1941769498741014.4538012229739483.88543266528814908.64471704177161758.8835103978397]