DEVELOPMENT... OpenML
Run
111436

Run 111436

Task 22 (Supervised Classification) mfeat-zernike Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(2)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_J48(2)_I80
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8941
Per class
Build CPU time
49.0024
Build memory
709515204
F measure
0.7795
Per class
Kappa
0.7561
KB relative information score
1545.5125
Mean absolute error
0.0438
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
0.7788
Per class
Predictive accuracy
0.7805
Prior entropy
3.3219
Recall
0.7805
Per class
Relative absolute error
0.2431
Root mean prior squared error
0.3
Root mean squared error
0.2075
Root relative squared error
0.6918
SciMark benchmark
908.2898