DEVELOPMENT... OpenML
Run
138078

Run 138078

Task 3807 (Supervised Classification) echoMonths 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
0.7449
Per class
Build CPU time
0.0207
Build memory
84698382.4
F measure
0.7151
Per class
Kappa
0.4302
KB relative information score
50.2177
Mean absolute error
0.3093
Mean prior absolute error
0.4999
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7156
Per class
Predictive accuracy
0.7154
Prior entropy
0.9998
Recall
0.7154
Per class
Relative absolute error
0.6187
Root mean prior squared error
0.4999
Root mean squared error
0.4889
Root relative squared error
0.9778
SciMark benchmark
945.1987