DEVELOPMENT... OpenML
Run
111666

Run 111666

Task 3705 (Supervised Classification) autoHorse 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
0.9889
Per class
Build CPU time
0.1543
Build memory
1605426575.2195
F measure
0.9902
Per class
Kappa
0.9798
KB relative information score
200.3323
Mean absolute error
0.0109
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9902
Per class
Predictive accuracy
0.9902
Prior entropy
0.9742
Recall
0.9902
Per class
Relative absolute error
0.0225
Root mean prior squared error
0.4909
Root mean squared error
0.0992
Root relative squared error
0.202
SciMark benchmark
931.9671