DEVELOPMENT... OpenML
Run
111062

Run 111062

Task 16 (Supervised Classification) mfeat-karhunen 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
0.9833
Per class
Build CPU time
122.3889
Build memory
351324661.6
F measure
0.9665
Per class
Kappa
0.9628
KB relative information score
1930.3621
Mean absolute error
0.0067
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
0.9667
Per class
Predictive accuracy
0.9665
Prior entropy
3.3219
Recall
0.9665
Per class
Relative absolute error
0.0372
Root mean prior squared error
0.3
Root mean squared error
0.0814
Root relative squared error
0.2715
SciMark benchmark
916.1588