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Data Mining Comparison

The document compares the accuracy of two machine learning algorithms, RBFN and SVM, on a classification task. SVM achieved the highest accuracy at 90.90% while RBFN was slightly lower at 87.60%. A bar graph shows SVM had the best performance in terms of classification accuracy compared to RBFN.

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Pravat Satpathy
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37 views2 pages

Data Mining Comparison

The document compares the accuracy of two machine learning algorithms, RBFN and SVM, on a classification task. SVM achieved the highest accuracy at 90.90% while RBFN was slightly lower at 87.60%. A bar graph shows SVM had the best performance in terms of classification accuracy compared to RBFN.

Uploaded by

Pravat Satpathy
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as XLSX, PDF, TXT or read online on Scribd
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Methods Accuracy

RBFN 87.60%
SVM 90.90%

Accuracy

91.00%

90.00%

89.00%

88.00%

87.00%

86.00%

85.00%
RBFN SVM
Accuracy

Accuracy

SVM

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