DEVELOPMENT... OpenML
Run
139887

Run 139887

Task 3827 (Supervised Classification) pasture 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)_I10
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
0.8524
Per class
Build CPU time
0.0058
Build memory
843035842.6667
F measure
0.7974
Per class
Kappa
0.5333
KB relative information score
18.1415
Mean absolute error
0.2088
Mean prior absolute error
0.4474
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8025
Per class
Predictive accuracy
0.8056
Prior entropy
0.9268
Recall
0.8056
Per class
Relative absolute error
0.4667
Root mean prior squared error
0.4715
Root mean squared error
0.4148
Root relative squared error
0.8797
SciMark benchmark
936.5273