DEVELOPMENT... OpenML
Run
139952

Run 139952

Task 3911 (Supervised Classification) ar4 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
0.7905
Per class
Build CPU time
0.0117
Build memory
719017449.3458
F measure
0.8634
Per class
Kappa
0.5336
KB relative information score
41.1843
Mean absolute error
0.1669
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8612
Per class
Predictive accuracy
0.8692
Prior entropy
0.707
Recall
0.8692
Per class
Relative absolute error
0.5426
Root mean prior squared error
0.3899
Root mean squared error
0.3324
Root relative squared error
0.8525
SciMark benchmark
940.5101