DEVELOPMENT... OpenML
Run
125161

Run 125161

Task 1802 (Supervised Classification) ecoli Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(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_NaiveBayes(2)_I160
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.929
Per class
Build CPU time
0.0251
Build memory
383527172.8
F measure
0.8486
Per class
Kappa
0.7979
KB relative information score
1087.1543
Mean absolute error
0.0797
Mean prior absolute error
0.1828
Number of instances
1680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8514
Per class
Predictive accuracy
0.853
Prior entropy
2.2353
Recall
0.853
Per class
Relative absolute error
0.4362
Root mean prior squared error
0.3016
Root mean squared error
0.1846
Root relative squared error
0.612
SciMark benchmark
909.5718