DEVELOPMENT... OpenML
Run
138432

Run 138432

Task 3496 (Supervised Classification) SPECTF 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)_I40
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
0.9567
Per class
Build CPU time
0.2882
Build memory
957994564.6762
F measure
0.9185
Per class
Kappa
0.7989
KB relative information score
264.6843
Mean absolute error
0.0872
Mean prior absolute error
0.3968
Number of instances
349
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9229
Per class
Predictive accuracy
0.9169
Prior entropy
0.8464
Recall
0.9169
Per class
Relative absolute error
0.2198
Root mean prior squared error
0.4451
Root mean squared error
0.2769
Root relative squared error
0.6222
SciMark benchmark
940.5101