DEVELOPMENT... OpenML
Run
109400

Run 109400

Task 3661 (Supervised Classification) cpu 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
0.9077
Per class
Build CPU time
0.0067
Build memory
656332704.1914
F measure
0.9465
Per class
Kappa
0.8565
KB relative information score
174.3575
Mean absolute error
0.0571
Mean prior absolute error
0.3797
Number of instances
209
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9471
Per class
Predictive accuracy
0.9474
Prior entropy
0.8205
Recall
0.9474
Per class
Relative absolute error
0.1504
Root mean prior squared error
0.4351
Root mean squared error
0.2283
Root relative squared error
0.5248
SciMark benchmark
939.0159