DEVELOPMENT... OpenML
Run
168005

Run 168005

Task 38 (Supervised Classification) ecoli Uploaded 19-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I20
weka.MultiBoostAB_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.

22 Evaluation measures

Area under ROC curve
0.9318
Per class
F measure
0.8535
Per class
Kappa
0.8005
KB relative information score
203.5059
Mean absolute error
0.0957
Mean prior absolute error
0.1828
Number of instances
336
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8666
Per class
Predictive accuracy
0.8542
Prior entropy
2.2353
Recall
0.8542
Per class
Relative absolute error
0.5234
Root mean prior squared error
0.3016
Root mean squared error
0.1858
Root relative squared error
0.616
SciMark benchmark
942.6953
UserCPU time millis
80
UserCPU time millis testing
20
UserCPU time millis training
60