DEVELOPMENT... OpenML
Run
22435

Run 22435

Task 57 (Supervised Classification) ionosphere Uploaded 21-06-2014 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)_I40
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
0.805
Per class
F measure
0.8537
Per class
Kappa
0.6757
KB relative information score
239.4398
Mean absolute error
0.1418
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
0.8706
Per class
Predictive accuracy
0.8604
Prior entropy
0.9425
Recall
0.8604
Per class
Relative absolute error
0.308
Root mean prior squared error
0.4797
Root mean squared error
0.3725
Root relative squared error
0.7765
SciMark benchmark
941.2565[546.61250956379411011.7904963405887484.54051677983614903.32186243855711760.017229859821]