DEVELOPMENT... OpenML
Run
111186

Run 111186

Task 3810 (Supervised Classification) arsenic-male-bladder 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
0.8066
Per class
Build CPU time
0.2578
Build memory
1156164691.449
F measure
0.9717
Per class
Kappa
0.6374
KB relative information score
275.853
Mean absolute error
0.0271
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.971
Per class
Predictive accuracy
0.9732
Prior entropy
0.2628
Recall
0.9732
Per class
Relative absolute error
0.3233
Root mean prior squared error
0.2027
Root mean squared error
0.1632
Root relative squared error
0.805
SciMark benchmark
916.8516