DEVELOPMENT... OpenML
Run
109361

Run 109361

Task 3613 (Supervised Classification) servo 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)_I40
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
0.9823
Per class
Build CPU time
0.0075
Build memory
119904753.9641
F measure
0.9416
Per class
Kappa
0.8386
KB relative information score
108.3922
Mean absolute error
0.1286
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9461
Per class
Predictive accuracy
0.9401
Prior entropy
0.7794
Recall
0.9401
Per class
Relative absolute error
0.3639
Root mean prior squared error
0.4193
Root mean squared error
0.2189
Root relative squared error
0.5221
SciMark benchmark
945.5885

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