DEVELOPMENT... OpenML
Run
145674

Run 145674

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.6811
Per class
F measure
0.6475
Per class
Kappa
0.2866
KB relative information score
95.8948
Mean absolute error
0.3644
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6473
Per class
Predictive accuracy
0.6477
Prior entropy
0.992
Recall
0.6477
Per class
Relative absolute error
0.7369
Root mean prior squared error
0.4972
Root mean squared error
0.5606
Root relative squared error
1.1275
SciMark benchmark
922.5647
UserCPU time millis
250
UserCPU time millis training
250