DEVELOPMENT... OpenML
Run
113114

Run 113114

Task 270 (Supervised Classification) glass 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
0.8854
Per class
Build CPU time
0.047
Build memory
1353816192
F measure
0.699
Per class
Kappa
0.5868
KB relative information score
43.6888
Mean absolute error
0.0831
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7298
Per class
Predictive accuracy
0.7
Prior entropy
2.2315
Recall
0.7
Per class
Relative absolute error
0.3908
Root mean prior squared error
0.3261
Root mean squared error
0.2796
Root relative squared error
0.8572
SciMark benchmark
936.1433