DEVELOPMENT... OpenML
Run
111537

Run 111537

Task 3550 (Supervised Classification) analcatdata_asbestos 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)_I80
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
0.7594
Per class
Build CPU time
0.0046
Build memory
995166841.6386
F measure
0.7232
Per class
Kappa
0.4407
KB relative information score
33.9692
Mean absolute error
0.2936
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7238
Per class
Predictive accuracy
0.7229
Prior entropy
0.9919
Recall
0.7229
Per class
Relative absolute error
0.5941
Root mean prior squared error
0.4971
Root mean squared error
0.4577
Root relative squared error
0.9209
SciMark benchmark
943.4039

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