DEVELOPMENT... OpenML
Run
113285

Run 113285

Task 3561 (Supervised Classification) profb 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)_I10
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
0.6577
Per class
Build CPU time
0.0353
Build memory
354182306.25
F measure
0.6621
Per class
Kappa
0.2274
KB relative information score
110.019
Mean absolute error
0.3592
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.658
Per class
Predictive accuracy
0.6696
Prior entropy
0.9188
Recall
0.6696
Per class
Relative absolute error
0.8079
Root mean prior squared error
0.4714
Root mean squared error
0.5005
Root relative squared error
1.0618
SciMark benchmark
935.6292