DEVELOPMENT... OpenML
Run
110526

Run 110526

Task 3725 (Supervised Classification) auto93 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
0.7645
Per class
Build CPU time
0.014
Build memory
39746512
F measure
0.8002
Per class
Kappa
0.5681
KB relative information score
52.5663
Mean absolute error
0.2007
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8075
Per class
Predictive accuracy
0.8065
Prior entropy
0.9573
Recall
0.8065
Per class
Relative absolute error
0.427
Root mean prior squared error
0.4845
Root mean squared error
0.4349
Root relative squared error
0.8977
SciMark benchmark
939.6298