DEVELOPMENT... OpenML
Run
109325

Run 109325

Task 3559 (Supervised Classification) confidence 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
0.8676
Per class
Build CPU time
0.0066
Build memory
669806129.7778
F measure
0.8243
Per class
Kappa
0.7833
KB relative information score
55.3658
Mean absolute error
0.0786
Mean prior absolute error
0.2778
Number of instances
72
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8442
Per class
Predictive accuracy
0.8194
Prior entropy
2.585
Recall
0.8194
Per class
Relative absolute error
0.2831
Root mean prior squared error
0.3727
Root mean squared error
0.2368
Root relative squared error
0.6355
SciMark benchmark
945.0532