DEVELOPMENT... OpenML
Run
109327

Run 109327

Task 3561 (Supervised Classification) profb 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
0.4148
Per class
Build CPU time
0.0597
Build memory
206231565.3214
F measure
0.4701
Per class
Kappa
-0.1652
KB relative information score
-182.7482
Mean absolute error
0.5386
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4811
Per class
Predictive accuracy
0.4613
Prior entropy
0.9188
Recall
0.4613
Per class
Relative absolute error
1.2113
Root mean prior squared error
0.4714
Root mean squared error
0.7327
Root relative squared error
1.5544
SciMark benchmark
923.8078