DEVELOPMENT... OpenML
Run
166228

Run 166228

Task 3874 (Supervised Classification) ecoli Uploaded 18-02-2015 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)_I160
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
0.9634
Per class
F measure
0.9552
Per class
Kappa
0.9083
KB relative information score
297.884
Mean absolute error
0.0585
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
0.9556
Per class
Predictive accuracy
0.9554
Prior entropy
0.9842
Recall
0.9554
Per class
Relative absolute error
0.1195
Root mean prior squared error
0.4944
Root mean squared error
0.2048
Root relative squared error
0.4142
SciMark benchmark
894.7455
UserCPU time millis
30
UserCPU time millis training
30