DEVELOPMENT... OpenML
Run
110129

Run 110129

Task 3916 (Supervised Classification) kc1-binary 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
0.6802
Per class
Build CPU time
0.0155
Build memory
285681237.4069
F measure
0.7012
Per class
Kappa
0.3811
KB relative information score
54.5867
Mean absolute error
0.2995
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7007
Per class
Predictive accuracy
0.7034
Prior entropy
0.979
Recall
0.7034
Per class
Relative absolute error
0.617
Root mean prior squared error
0.4925
Root mean squared error
0.5405
Root relative squared error
1.0974
SciMark benchmark
913.3372