DEVELOPMENT... OpenML
Run
22022

Run 22022

Task 20 (Supervised Classification) mfeat-pixel Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(1)_C3
weka.MultiBoostAB_NaiveBayes(1)_I80
weka.MultiBoostAB_NaiveBayes(1)_P100
weka.MultiBoostAB_NaiveBayes(1)_S1
weka.MultiBoostAB_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9719
Per class
F measure
0.9367
Per class
Kappa
0.93
KB relative information score
1870.3843
Mean absolute error
0.0125
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9379
Per class
Predictive accuracy
0.937
Prior entropy
3.3219
Recall
0.937
Per class
Relative absolute error
0.0693
Root mean prior squared error
0.3
Root mean squared error
0.1108
Root relative squared error
0.3692
SciMark benchmark
926.6498[562.8398363608846994.3008483142872469.9088768785109881.74906030041211724.4501575906495]