DEVELOPMENT... OpenML
Run
112856

Run 112856

Task 3716 (Supervised Classification) tecator 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)_I20
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
0.9509
Per class
Build CPU time
0.4986
Build memory
493618603.2
F measure
0.9377
Per class
Kappa
0.8729
KB relative information score
209.184
Mean absolute error
0.062
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9387
Per class
Predictive accuracy
0.9375
Prior entropy
0.984
Recall
0.9375
Per class
Relative absolute error
0.1269
Root mean prior squared error
0.4943
Root mean squared error
0.2455
Root relative squared error
0.4966
SciMark benchmark
943.7751