DEVELOPMENT... OpenML
Run
137232

Run 137232

Task 3498 (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)_I160
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
0.8432
Per class
Build CPU time
0.0116
Build memory
62498756.6667
F measure
0.7266
Per class
Kappa
0.5833
KB relative information score
19.9555
Mean absolute error
0.2214
Mean prior absolute error
0.4444
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
0.7329
Per class
Predictive accuracy
0.7222
Prior entropy
1.585
Recall
0.7222
Per class
Relative absolute error
0.4982
Root mean prior squared error
0.4714
Root mean squared error
0.4024
Root relative squared error
0.8536
SciMark benchmark
941.7891