DEVELOPMENT... OpenML
Run
110478

Run 110478

Task 3665 (Supervised Classification) pyrim 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
0.8196
Per class
Build CPU time
0.0114
Build memory
174799772.7568
F measure
0.8228
Per class
Kappa
0.6342
KB relative information score
45.9507
Mean absolute error
0.1849
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8241
Per class
Predictive accuracy
0.8243
Prior entropy
0.9819
Recall
0.8243
Per class
Relative absolute error
0.3796
Root mean prior squared error
0.4934
Root mean squared error
0.4132
Root relative squared error
0.8375
SciMark benchmark
937.6343