DEVELOPMENT... OpenML
Run
110787

Run 110787

Task 250 (Supervised Classification) mfeat-pixel 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)_I160
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
0.9741
Per class
Build CPU time
15.966
Build memory
390665368
F measure
0.9533
Per class
Kappa
0.9478
KB relative information score
627.5233
Mean absolute error
0.0094
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9545
Per class
Predictive accuracy
0.953
Prior entropy
3.3219
Recall
0.953
Per class
Relative absolute error
0.0524
Root mean prior squared error
0.3
Root mean squared error
0.0966
Root relative squared error
0.3221
SciMark benchmark
908.2898