DEVELOPMENT... OpenML
Run
110512

Run 110512

Task 3707 (Supervised Classification) analcatdata_runshoes 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
0.5833
Per class
Build CPU time
0.0125
Build memory
619999511.2
F measure
0.5874
Per class
Kappa
0.1611
KB relative information score
6.807
Mean absolute error
0.4196
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5996
Per class
Predictive accuracy
0.5833
Prior entropy
0.9728
Recall
0.5833
Per class
Relative absolute error
0.8731
Root mean prior squared error
0.4899
Root mean squared error
0.6341
Root relative squared error
1.2944
SciMark benchmark
873.8637