DEVELOPMENT... OpenML
Run
20217

Run 20217

Task 22 (Supervised Classification) mfeat-zernike Uploaded 18-06-2014 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
0.8827
Per class
F measure
0.7912
Per class
Kappa
0.7661
KB relative information score
1556.424
Mean absolute error
0.0429
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7938
Per class
Predictive accuracy
0.7895
Prior entropy
3.3219
Recall
0.7895
Per class
Relative absolute error
0.2381
Root mean prior squared error
0.3
Root mean squared error
0.2046
Root relative squared error
0.6821
SciMark benchmark
944.5105[556.90953288490741013.6533959159474482.36378704342826912.43998791392861757.185869335973]