DEVELOPMENT... OpenML
Run
137026

Run 137026

Task 11 (Supervised Classification) balance-scale 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
0.9545
Per class
Build CPU time
0.0471
Build memory
176629459.5072
F measure
0.824
Per class
Kappa
0.6908
KB relative information score
384.5811
Mean absolute error
0.133
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.824
Per class
Predictive accuracy
0.824
Prior entropy
1.3212
Recall
0.824
Per class
Relative absolute error
0.3502
Root mean prior squared error
0.4356
Root mean squared error
0.2863
Root relative squared error
0.6574
SciMark benchmark
907.3828