Accuracy of the Random forest algorithm for different values of test samples and different choice of random states.

Accuracy of the Random forest algorithm for different values of test samples and different choice of random states.

<p>Accuracy of the Random forest algorithm for different values of test samples and different choice of random states.</p>

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Bibliographic Details
Main Author:	Abeer Aljohani (18497914) (author)
Published:	2025
Subjects:	Biotechnology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified three different classes support vector machine provides satisfactory results introducing advance techniques image pre processing calculate spectral moment legendre polynomails space random forest improves random forest algorithm latest data set base set composed improved chest x given medical image spectral moments generation random forest data set spectral space ray image medical data given x chest x spectral moments spectral coefficients medical diagnostics another space original data special functions ray images proposed method proposed approach orthogonal system moments designed mathematical theory important values important role fast version covid infected computation softwares classification task classification algorithms
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Summary:	<p>Accuracy of the Random forest algorithm for different values of test samples and different choice of random states.</p>

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