DEVELOPMENT... OpenML
Run
109782

Run 109782

Task 2353 (Supervised Classification) meta_batchincremental.arff 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
0.7137
Per class
Build CPU time
0.013
Build memory
215608208
F measure
0.6692
Per class
Kappa
0.2394
KB relative information score
1.1856
Mean absolute error
0.2014
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7664
Per class
Predictive accuracy
0.625
Prior entropy
1.3842
Recall
0.625
Per class
Relative absolute error
0.8955
Root mean prior squared error
0.3095
Root mean squared error
0.4179
Root relative squared error
1.3503
SciMark benchmark
943.4039