DEVELOPMENT... OpenML
Run
110485

Run 110485

Task 3670 (Supervised Classification) fri_c4_500_50 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)_I160
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
0.541
Per class
Build CPU time
0.1232
Build memory
315647224.8
F measure
0.5402
Per class
Kappa
0.0816
KB relative information score
37.7915
Mean absolute error
0.4602
Mean prior absolute error
0.4984
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5426
Per class
Predictive accuracy
0.54
Prior entropy
0.9978
Recall
0.54
Per class
Relative absolute error
0.9232
Root mean prior squared error
0.4992
Root mean squared error
0.6767
Root relative squared error
1.3556
SciMark benchmark
937.6343