DEVELOPMENT... OpenML
Run
145524

Run 145524

Task 3742 (Supervised Classification) fri_c4_100_10 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
0.8741
Per class
F measure
0.7992
Per class
Kappa
0.5966
KB relative information score
58.0928
Mean absolute error
0.2109
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.801
Per class
Predictive accuracy
0.8
Prior entropy
0.9975
Recall
0.8
Per class
Relative absolute error
0.4232
Root mean prior squared error
0.4991
Root mean squared error
0.4146
Root relative squared error
0.8308
SciMark benchmark
883.7187
UserCPU time millis
50
UserCPU time millis training
50