DEVELOPMENT... OpenML
Run
22412

Run 22412

Task 20 (Supervised Classification) mfeat-pixel Uploaded 21-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(1)_I160
weka.AdaBoostM1_JRip(1)_P100
weka.AdaBoostM1_JRip(1)_S1
weka.AdaBoostM1_JRip(1)_Wweka.classifiers.rules.JRip
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1

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
0.9854
Per class
F measure
0.9701
Per class
Kappa
0.9667
KB relative information score
1938.2804
Mean absolute error
0.0059
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
0.9703
Per class
Predictive accuracy
0.97
Prior entropy
3.3219
Recall
0.97
Per class
Relative absolute error
0.033
Root mean prior squared error
0.3
Root mean squared error
0.0762
Root relative squared error
0.2541
SciMark benchmark
945.6434[561.39059440769631014.4538648883195483.449727694041911.17132945493631757.7512505720342]