DEVELOPMENT... OpenML
Run
145294

Run 145294

Task 55 (Supervised Classification) vote 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)_I10
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
0.9825
Per class
F measure
0.9495
Per class
Kappa
0.8938
KB relative information score
383.9862
Mean absolute error
0.0547
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9498
Per class
Predictive accuracy
0.9494
Prior entropy
0.9627
Recall
0.9494
Per class
Relative absolute error
0.1153
Root mean prior squared error
0.4869
Root mean squared error
0.2187
Root relative squared error
0.4493
SciMark benchmark
917.1386
UserCPU time millis
850
UserCPU time millis testing
10
UserCPU time millis training
840