DEVELOPMENT... OpenML
Run
138972

Run 138972

Task 2079 (Supervised Classification) eucalyptus 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)_I20
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
0.7463
Per class
Build CPU time
0.0608
Build memory
289425694.3696
F measure
0.4643
Per class
Kappa
0.3214
KB relative information score
121.814
Mean absolute error
0.2883
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4637
Per class
Predictive accuracy
0.4783
Prior entropy
2.2629
Recall
0.4783
Per class
Relative absolute error
0.9206
Root mean prior squared error
0.3957
Root mean squared error
0.371
Root relative squared error
0.9375
SciMark benchmark
940.159