DEVELOPMENT... OpenML
Run
145769

Run 145769

Task 14 (Supervised Classification) mfeat-fourier Uploaded 31-01-2015 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)_I20
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.

22 Evaluation measures

Area under ROC curve
0.9669
Per class
F measure
0.8291
Per class
Kappa
0.8083
KB relative information score
1649.4925
Mean absolute error
0.0352
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8316
Per class
Predictive accuracy
0.8275
Prior entropy
3.3219
Recall
0.8275
Per class
Relative absolute error
0.1957
Root mean prior squared error
0.3
Root mean squared error
0.1785
Root relative squared error
0.5949
SciMark benchmark
921.2137
UserCPU time millis
41620
UserCPU time millis testing
10
UserCPU time millis training
41610