DEVELOPMENT... OpenML
Run
113364

Run 113364

Task 3653 (Supervised Classification) triazines 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
0.845
Per class
Build CPU time
0.1219
Build memory
534286972.4301
F measure
0.7681
Per class
Kappa
0.5208
KB relative information score
100.1193
Mean absolute error
0.2202
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7678
Per class
Predictive accuracy
0.7688
Prior entropy
0.979
Recall
0.7688
Per class
Relative absolute error
0.4536
Root mean prior squared error
0.4925
Root mean squared error
0.451
Root relative squared error
0.9157
SciMark benchmark
936.1433