DEVELOPMENT... OpenML
Run
110607

Run 110607

Task 3810 (Supervised Classification) arsenic-male-bladder 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
0.8007
Per class
Build CPU time
0.0225
Build memory
604441129.7317
F measure
0.9663
Per class
Kappa
0.5945
KB relative information score
208.8243
Mean absolute error
0.0358
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9667
Per class
Predictive accuracy
0.966
Prior entropy
0.2628
Recall
0.966
Per class
Relative absolute error
0.4283
Root mean prior squared error
0.2027
Root mean squared error
0.184
Root relative squared error
0.9077
SciMark benchmark
873.8637