DEVELOPMENT... OpenML
Run
111181

Run 111181

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)_I160
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
0.8396
Per class
Build CPU time
0.0733
Build memory
982764850.5263
F measure
0.8421
Per class
Kappa
0.6833
KB relative information score
51.9011
Mean absolute error
0.1579
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
0.8421
Per class
Predictive accuracy
0.8421
Prior entropy
0.9981
Recall
0.8421
Per class
Relative absolute error
0.3166
Root mean prior squared error
0.4993
Root mean squared error
0.3974
Root relative squared error
0.7958
SciMark benchmark
945.0532