DEVELOPMENT... OpenML
Run
138195

Run 138195

Task 9 (Supervised Classification) autos 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
0.8522
Per class
Build CPU time
0.0265
Build memory
508408217.678
F measure
0.6927
Per class
Kappa
0.6045
KB relative information score
94.3579
Mean absolute error
0.1478
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6951
Per class
Predictive accuracy
0.6976
Prior entropy
2.3268
Recall
0.6976
Per class
Relative absolute error
0.669
Root mean prior squared error
0.3318
Root mean squared error
0.2647
Root relative squared error
0.7979
SciMark benchmark
940.5101

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