DEVELOPMENT... OpenML
Run
15534

Run 15534

Task 28 (Supervised Classification) optdigits Uploaded 04-06-2014 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)_I160
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
0.9929
Per class
F measure
0.9872
Per class
Kappa
0.9858
KB relative information score
5540.4067
Mean absolute error
0.0029
Mean prior absolute error
0.18
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9873
Per class
Predictive accuracy
0.9872
Prior entropy
3.3218
Recall
0.9872
Per class
Relative absolute error
0.0162
Root mean prior squared error
0.3
Root mean squared error
0.0506
Root relative squared error
0.1686
SciMark benchmark
945.2805[562.29550002336991014.9881073746852484.10363182779514908.95975824819551756.0556588021248]