DEVELOPMENT... OpenML
Run
109340

Run 109340

Task 3494 (Supervised Classification) monks-problems-3 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
0.9731
Per class
Build CPU time
1.7261
Build memory
799157649.5307
F measure
0.953
Per class
Kappa
0.9059
KB relative information score
513.6927
Mean absolute error
0.0362
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9536
Per class
Predictive accuracy
0.9531
Prior entropy
0.9989
Recall
0.9531
Per class
Relative absolute error
0.0726
Root mean prior squared error
0.4996
Root mean squared error
0.1756
Root relative squared error
0.3514
SciMark benchmark
907.4175