DEVELOPMENT... OpenML
Run
111143

Run 111143

Task 3761 (Supervised Classification) hip 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
0.8255
Per class
Build CPU time
0.0596
Build memory
2935201262.0741
F measure
0.7964
Per class
Kappa
0.5926
KB relative information score
32.2331
Mean absolute error
0.2005
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.797
Per class
Predictive accuracy
0.7963
Prior entropy
0.9991
Recall
0.7963
Per class
Relative absolute error
0.4015
Root mean prior squared error
0.4997
Root mean squared error
0.4447
Root relative squared error
0.8901
SciMark benchmark
931.9671