DEVELOPMENT... OpenML
Run
113312

Run 113312

Task 3602 (Supervised Classification) visualizing_environmental 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
0.7136
Per class
Build CPU time
0.0014
Build memory
922099439.1351
F measure
0.723
Per class
Kappa
0.467
KB relative information score
26.9984
Mean absolute error
0.393
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7677
Per class
Predictive accuracy
0.7297
Prior entropy
0.9986
Recall
0.7297
Per class
Relative absolute error
0.7876
Root mean prior squared error
0.4995
Root mean squared error
0.4468
Root relative squared error
0.8946
SciMark benchmark
936.1433