DEVELOPMENT... OpenML
Run
110326

Run 110326

Task 3058 (Supervised Classification) grub-damage 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
0.5643
Per class
Build CPU time
0.012
Build memory
196186384
F measure
0.358
Per class
Kappa
0.1156
KB relative information score
9.2754
Mean absolute error
0.3347
Mean prior absolute error
0.3627
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3726
Per class
Predictive accuracy
0.3529
Prior entropy
1.9281
Recall
0.3529
Per class
Relative absolute error
0.9229
Root mean prior squared error
0.425
Root mean squared error
0.5513
Root relative squared error
1.2971
SciMark benchmark
925.481