DEVELOPMENT... OpenML
Run
137074

Run 137074

Task 253 (Supervised Classification) cmc 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)_I160
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
0.6855
Per class
Build CPU time
0.048
Build memory
597799128
F measure
0.512
Per class
Kappa
0.2365
KB relative information score
67.0636
Mean absolute error
0.3978
Mean prior absolute error
0.4292
Number of instances
486
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5129
Per class
Predictive accuracy
0.5123
Prior entropy
1.5392
Recall
0.5123
Per class
Relative absolute error
0.9268
Root mean prior squared error
0.4624
Root mean squared error
0.4427
Root relative squared error
0.9575
SciMark benchmark
895.3841