DEVELOPMENT... OpenML
Run
111121

Run 111121

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.6175
Per class
Build CPU time
0.1482
Build memory
1717641901.7012
F measure
0.6092
Per class
Kappa
0.2175
KB relative information score
18.916
Mean absolute error
0.3906
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6092
Per class
Predictive accuracy
0.6092
Prior entropy
0.9992
Recall
0.6092
Per class
Relative absolute error
0.782
Root mean prior squared error
0.4997
Root mean squared error
0.6248
Root relative squared error
1.2503
SciMark benchmark
916.8516