DEVELOPMENT... OpenML
Run
106622

Run 106622

Task 3701 (Supervised Classification) sleuth_case1102 Uploaded 09-12-2014 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.

21 Evaluation measures

Area under ROC curve
0.2509
Per class
Build CPU time
0.0135
Build memory
1042355708
F measure
0.3706
Per class
Kappa
-0.2796
KB relative information score
-9.2137
Mean absolute error
0.6226
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3643
Per class
Predictive accuracy
0.3824
Prior entropy
0.9911
Recall
0.3824
Per class
Relative absolute error
1.2617
Root mean prior squared error
0.4965
Root mean squared error
0.7255
Root relative squared error
1.4611
SciMark benchmark
908.7121