DEVELOPMENT... OpenML
Run
107767

Run 107767

Task 3726 (Supervised Classification) sleuth_ex2016 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)_I40
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
0.7291
Per class
Build CPU time
0.19
Build memory
871910730.7586
F measure
0.712
Per class
Kappa
0.4232
KB relative information score
35.1794
Mean absolute error
0.2978
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.713
Per class
Predictive accuracy
0.7126
Prior entropy
0.9992
Recall
0.7126
Per class
Relative absolute error
0.5962
Root mean prior squared error
0.4997
Root mean squared error
0.5306
Root relative squared error
1.0619
SciMark benchmark
940.9619