DEVELOPMENT... OpenML
Run
168906

Run 168906

Task 3874 (Supervised Classification) ecoli Uploaded 20-02-2015 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)_I10
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
0.9727
Per class
F measure
0.9583
Per class
Kappa
0.9146
KB relative information score
306.833
Mean absolute error
0.0425
Mean prior absolute error
0.489
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
0.9583
Per class
Predictive accuracy
0.9583
Prior entropy
0.9842
Recall
0.9583
Per class
Relative absolute error
0.0869
Root mean prior squared error
0.4944
Root mean squared error
0.1973
Root relative squared error
0.3991
SciMark benchmark
927.0753
UserCPU time millis
60
UserCPU time millis testing
20
UserCPU time millis training
40

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