DEVELOPMENT... OpenML
Run
113491

Run 113491

Task 3808 (Supervised Classification) kidney 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
0.8132
Per class
Build CPU time
0.0052
Build memory
972960152.6316
F measure
0.7627
Per class
Kappa
0.5237
KB relative information score
39.4223
Mean absolute error
0.2405
Mean prior absolute error
0.4987
Number of instances
76
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7632
Per class
Predictive accuracy
0.7632
Prior entropy
0.9981
Recall
0.7632
Per class
Relative absolute error
0.4822
Root mean prior squared error
0.4993
Root mean squared error
0.4672
Root relative squared error
0.9356
SciMark benchmark
906.6607