DEVELOPMENT... OpenML
Run
109163

Run 109163

Task 285 (Supervised Classification) vote Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.972
Per class
Build CPU time
0.096
Build memory
208081208
F measure
0.9513
Per class
Kappa
0.8976
KB relative information score
123.7897
Mean absolute error
0.0633
Mean prior absolute error
0.4739
Number of instances
143
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9524
Per class
Predictive accuracy
0.951
Prior entropy
0.9627
Recall
0.951
Per class
Relative absolute error
0.1336
Root mean prior squared error
0.4865
Root mean squared error
0.222
Root relative squared error
0.4563
SciMark benchmark
919.5971