DEVELOPMENT... OpenML
Run
113571

Run 113571

Task 3913 (Supervised Classification) kc2 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
0.7305
Per class
Build CPU time
0.1072
Build memory
245558921.7165
F measure
0.8111
Per class
Kappa
0.4115
KB relative information score
153.1888
Mean absolute error
0.2023
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8086
Per class
Predictive accuracy
0.8142
Prior entropy
0.734
Recall
0.8142
Per class
Relative absolute error
0.6193
Root mean prior squared error
0.4037
Root mean squared error
0.4016
Root relative squared error
0.9947
SciMark benchmark
902.712