DEVELOPMENT... OpenML
Run
145262

Run 145262

Task 21 (Supervised Classification) car 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
0.9981
Per class
F measure
0.9879
Per class
Kappa
0.9734
KB relative information score
1666.3841
Mean absolute error
0.0065
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9879
Per class
Predictive accuracy
0.9878
Prior entropy
1.2099
Recall
0.9878
Per class
Relative absolute error
0.0284
Root mean prior squared error
0.3381
Root mean squared error
0.0749
Root relative squared error
0.2215
SciMark benchmark
902.4773
UserCPU time millis
4190
UserCPU time millis testing
10
UserCPU time millis training
4180