DEVELOPMENT... OpenML
Run
109407

Run 109407

Task 3677 (Supervised Classification) fri_c1_100_25 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
0.653
Per class
Build CPU time
0.0084
Build memory
60789860.8
F measure
0.6498
Per class
Kappa
0.3033
KB relative information score
29.165
Mean absolute error
0.3533
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6559
Per class
Predictive accuracy
0.65
Prior entropy
0.9975
Recall
0.65
Per class
Relative absolute error
0.709
Root mean prior squared error
0.4991
Root mean squared error
0.5852
Root relative squared error
1.1726
SciMark benchmark
923.9118