DEVELOPMENT... OpenML
Run
109668

Run 109668

Task 233 (Supervised Classification) kr-vs-kp 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)_I80
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
0.9854
Per class
Build CPU time
0.779
Build memory
159201216
F measure
0.9524
Per class
Kappa
0.9043
KB relative information score
872.8055
Mean absolute error
0.0921
Mean prior absolute error
0.4984
Number of instances
1054
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9537
Per class
Predictive accuracy
0.9526
Prior entropy
0.9986
Recall
0.9526
Per class
Relative absolute error
0.1848
Root mean prior squared error
0.4989
Root mean squared error
0.2071
Root relative squared error
0.4151
SciMark benchmark
924.6733

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