DEVELOPMENT... OpenML
Run
112499

Run 112499

Task 40 (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)_I20
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
0.8936
Per class
Build CPU time
0.0887
Build memory
59587198.729
F measure
0.7523
Per class
Kappa
0.6678
KB relative information score
143.5821
Mean absolute error
0.0701
Mean prior absolute error
0.2116
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7544
Per class
Predictive accuracy
0.757
Prior entropy
2.2315
Recall
0.757
Per class
Relative absolute error
0.3313
Root mean prior squared error
0.3244
Root mean squared error
0.2598
Root relative squared error
0.8009
SciMark benchmark
917.4547