DEVELOPMENT... OpenML
Run
110716

Run 110716

Task 3915 (Supervised Classification) kc3 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
0.6127
Per class
Build CPU time
11.2724
Build memory
314237498.8646
F measure
0.875
Per class
Kappa
0.2264
KB relative information score
32.8714
Mean absolute error
0.1181
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8692
Per class
Predictive accuracy
0.8821
Prior entropy
0.4551
Recall
0.8821
Per class
Relative absolute error
0.6886
Root mean prior squared error
0.2917
Root mean squared error
0.3432
Root relative squared error
1.1767
SciMark benchmark
936.1433