DEVELOPMENT... OpenML
Run
110497

Run 110497

Task 3653 (Supervised Classification) triazines 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
0.7245
Per class
Build CPU time
2.2596
Build memory
902652165.0323
F measure
0.7199
Per class
Kappa
0.4216
KB relative information score
75.2395
Mean absolute error
0.2852
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7195
Per class
Predictive accuracy
0.7204
Prior entropy
0.979
Recall
0.7204
Per class
Relative absolute error
0.5876
Root mean prior squared error
0.4925
Root mean squared error
0.5304
Root relative squared error
1.0769
SciMark benchmark
890.3066