DEVELOPMENT... OpenML
Run
139629

Run 139629

Task 3540 (Supervised Classification) analcatdata_boxing1 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)_I10
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
0.8901
Per class
Build CPU time
0.0019
Build memory
49742395.2
F measure
0.8579
Per class
Kappa
0.6869
KB relative information score
67.6161
Mean absolute error
0.2056
Mean prior absolute error
0.4557
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8577
Per class
Predictive accuracy
0.8583
Prior entropy
0.9362
Recall
0.8583
Per class
Relative absolute error
0.4511
Root mean prior squared error
0.477
Root mean squared error
0.3422
Root relative squared error
0.7174
SciMark benchmark
942.573

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