DEVELOPMENT... OpenML
Run
139190

Run 139190

Task 3719 (Supervised Classification) fishcatch 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
0.9725
Per class
Build CPU time
0.0088
Build memory
392858834.0253
F measure
0.9558
Per class
Kappa
0.9078
KB relative information score
141.9896
Mean absolute error
0.0475
Mean prior absolute error
0.4797
Number of instances
158
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9559
Per class
Predictive accuracy
0.9557
Prior entropy
0.971
Recall
0.9557
Per class
Relative absolute error
0.099
Root mean prior squared error
0.4896
Root mean squared error
0.206
Root relative squared error
0.4206
SciMark benchmark
941.7846