DEVELOPMENT... OpenML
Run
111939

Run 111939

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)_I40
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
0.9019
Per class
Build CPU time
23.7518
Build memory
854693052.8
F measure
0.7761
Per class
Kappa
0.7522
KB relative information score
1535.7771
Mean absolute error
0.0449
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
0.7761
Per class
Predictive accuracy
0.777
Prior entropy
3.3219
Recall
0.777
Per class
Relative absolute error
0.2496
Root mean prior squared error
0.3
Root mean squared error
0.2094
Root relative squared error
0.6981
SciMark benchmark
906.6607