DEVELOPMENT... OpenML
Run
110974

Run 110974

Task 3559 (Supervised Classification) confidence 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
0.8984
Per class
Build CPU time
0.0245
Build memory
151642385.1111
F measure
0.7779
Per class
Kappa
0.7333
KB relative information score
54.8967
Mean absolute error
0.0724
Mean prior absolute error
0.2778
Number of instances
72
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7819
Per class
Predictive accuracy
0.7778
Prior entropy
2.585
Recall
0.7778
Per class
Relative absolute error
0.2607
Root mean prior squared error
0.3727
Root mean squared error
0.2669
Root relative squared error
0.7161
SciMark benchmark
942.3919