DEVELOPMENT... OpenML
Run
109594

Run 109594

Task 3911 (Supervised Classification) ar4 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
0.5833
Per class
Build CPU time
0.0078
Build memory
170118682.4673
F measure
0.7658
Per class
Kappa
0.2005
KB relative information score
12.8387
Mean absolute error
0.2299
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7581
Per class
Predictive accuracy
0.7757
Prior entropy
0.707
Recall
0.7757
Per class
Relative absolute error
0.7476
Root mean prior squared error
0.3899
Root mean squared error
0.4689
Root relative squared error
1.2026
SciMark benchmark
942.5053