DEVELOPMENT... OpenML
Run
22050

Run 22050

Task 51 (Supervised Classification) trains 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)_I20
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
0.6
Per class
F measure
0.6
Per class
Kappa
0.2
KB relative information score
1.725
Mean absolute error
0.4182
Mean prior absolute error
0.5
Number of instances
10
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6
Per class
Predictive accuracy
0.6
Prior entropy
1
Recall
0.6
Per class
Relative absolute error
0.8364
Root mean prior squared error
0.5
Root mean squared error
0.5793
Root relative squared error
1.1585
SciMark benchmark
935.3468[550.2336685193791991.9974325509459480.85168147774846907.70082742804311745.9505424238596]