DEVELOPMENT... OpenML
Run
139409

Run 139409

Task 42 (Supervised Classification) haberman Uploaded 31-12-2014 by Jason
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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
0.6089
Per class
Build CPU time
0.0061
Build memory
585452261.5686
F measure
0.6743
Per class
Kappa
0.126
KB relative information score
17.5996
Mean absolute error
0.3397
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6632
Per class
Predictive accuracy
0.6961
Prior entropy
0.836
Recall
0.6961
Per class
Relative absolute error
0.8711
Root mean prior squared error
0.4412
Root mean squared error
0.469
Root relative squared error
1.063
SciMark benchmark
941.7846