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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2025
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| _version_ | 1852019412088913920 |
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| author | Abeer Aljohani (18497914) |
| author_facet | Abeer Aljohani (18497914) |
| author_role | author |
| dc.creator.none.fl_str_mv | Abeer Aljohani (18497914) |
| dc.date.none.fl_str_mv | 2025-06-11T17:28:42Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0325058.g017 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Accuracy_of_the_Random_forest_algorithm_for_different_values_of_test_samples_and_different_choice_of_random_states_/29294975 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | 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 |
| dc.title.none.fl_str_mv | Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Accuracy of the Random forest algorithm for different values of test samples and different choice of random states.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_75393269bfd34aef3ffa0f2f8b09abfc |
| identifier_str_mv | 10.1371/journal.pone.0325058.g017 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29294975 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Accuracy of the Random forest algorithm for different values of test samples and different choice of random states.Abeer Aljohani (18497914)BiotechnologySpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedthree different classessupport vector machineprovides satisfactory resultsintroducing advance techniquesimage pre processingcalculate spectral momentlegendre polynomails spacerandom forest improvesrandom forest algorithmlatest data setbase set composedimproved chest xgiven medical imagespectral moments generationrandom forestdata setspectral spaceray imagemedical datagiven xchest xspectral momentsspectral coefficientsmedical diagnosticsanother spaceoriginal dataspecial functionsray imagesproposed methodproposed approachorthogonal systemmoments designedmathematical theoryimportant valuesimportant rolefast versioncovid infectedcomputation softwaresclassification taskclassification algorithms<p>Accuracy of the Random forest algorithm for different values of test samples and different choice of random states.</p>2025-06-11T17:28:42ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0325058.g017https://figshare.com/articles/figure/Accuracy_of_the_Random_forest_algorithm_for_different_values_of_test_samples_and_different_choice_of_random_states_/29294975CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292949752025-06-11T17:28:42Z |
| spellingShingle | Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. Abeer Aljohani (18497914) 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 |
| status_str | publishedVersion |
| title | Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. |
| title_full | Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. |
| title_fullStr | Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. |
| title_full_unstemmed | Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. |
| title_short | Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. |
| title_sort | Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. |
| topic | 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 |