DEVELOPMENT... OpenML
Run
107579

Run 107579

Task 3064 (Supervised Classification) aids 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
0.7417
Per class
Build CPU time
0.067
Build memory
3192592880
F measure
0.6807
Per class
Kappa
0.3103
KB relative information score
6.8636
Mean absolute error
0.2825
Mean prior absolute error
0.5
Number of instances
16
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6795
Per class
Predictive accuracy
0.6875
Prior entropy
1
Recall
0.6875
Per class
Relative absolute error
0.5649
Root mean prior squared error
0.5
Root mean squared error
0.4827
Root relative squared error
0.9653
SciMark benchmark
949.8157