DEVELOPMENT... OpenML
Run
108258

Run 108258

Task 3756 (Supervised Classification) visualizing_hamster Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I80
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.6648
Per class
Build CPU time
0.224
Build memory
665493817.5342
F measure
0.628
Per class
Kappa
0.2474
KB relative information score
18.3424
Mean absolute error
0.3692
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.628
Per class
Predictive accuracy
0.6301
Prior entropy
0.9937
Recall
0.6301
Per class
Relative absolute error
0.745
Root mean prior squared error
0.4977
Root mean squared error
0.5961
Root relative squared error
1.1976
SciMark benchmark
933.4498