DEVELOPMENT... OpenML
Run
168278

Run 168278

Task 3653 (Supervised Classification) triazines 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
0.7818
Per class
F measure
0.6948
Per class
Kappa
0.3744
KB relative information score
67.9349
Mean absolute error
0.305
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
0.697
Per class
Predictive accuracy
0.6935
Prior entropy
0.979
Recall
0.6935
Per class
Relative absolute error
0.6284
Root mean prior squared error
0.4925
Root mean squared error
0.5082
Root relative squared error
1.0318
SciMark benchmark
945.6434
UserCPU time millis
370
UserCPU time millis testing
120
UserCPU time millis training
250

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