DEVELOPMENT... OpenML
Run
137992

Run 137992

Task 3705 (Supervised Classification) autoHorse Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I80
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.9811
Per class
Build CPU time
0.0383
Build memory
934696919.8829
F measure
0.9707
Per class
Kappa
0.9393
KB relative information score
189.5457
Mean absolute error
0.0365
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
0.9707
Per class
Predictive accuracy
0.9707
Prior entropy
0.9742
Recall
0.9707
Per class
Relative absolute error
0.0756
Root mean prior squared error
0.4909
Root mean squared error
0.1638
Root relative squared error
0.3337
SciMark benchmark
926.4124