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0 $begingroup$ I have a non linear data set, and I am using SVM (RBF kernel) to build a classification model, but not sure how to set the best hyperparameters of the SVM, C and gamma in Matlab fitcsvm . And is it acceptable if it is trial and error approach setting arbitrary values, until finding the best performance? classification svm matlab hyperparameter hyperparameter-tuning share | improve this question edited 4 mins ago gin asked 10 mins ago gin gin 1

Insigne Tabula geographica Nomen Latinum: Monasterium Nomen Germanicum: Münster Nomina Latina alia:     Monasterium, 1648     Indicia fundamentalia Terra foederalis: Rhenania Septentrionalis-Vestfalia Confoederatio regionalis: Vestfalia-Lippa Provincia: Monasterium Circulus urbanus: Monasterium Coordinata geographica: 51° 57′ 46,6″ Sept. , 7° 37′ 43,3″ Ort. Altitudo: 60 supra mare Area: 302,92 km² Numerus incolarum: 273.875 (30. Iunii 2007) Coniunctio communium cum: Spissitudo incolarum: 904 per chiliometrum quadratum Numerus cursualis: ab 48143 ad 48167 Praefixum telephonicum: 0251, 02501, 02506, 02533, 02534, 02536 Nota autocineti: MS Nota magistratus communalis: 05 5 15 000 UN/LOCODE: DE MSR NUTS-Regio: DEA33 Ordo urbis partium: 6 regiones cum 20 partibus Inscriptio cursualis magistratus: Klemensstraße 10 48143 Münster

Coordinata caelestia: 02 h 31 m 48.7 s , +89° 15′ 51″ Stella Polaris, conlocatio in Ursa Minore cum Ursa Maiore Polaris sive Alpha Ursae Minoris ( α UMi ) est stella binaria sideris Ursae Minoris. Nomen capit quod caelesti polo septentrionali proxima stat; per motum Terrae fit ut ceterae caeli stellae, cum orbes suos conficiant, circum hanc unam agi videantur. Noctu, Polaris viatoribus nautisque, quibus regionem septentrionalem indicat, maximo usui est. Polaris haud omnibus temporibus polum septentrionalem significavit, nam per motum quendam axis Terrae (qui motus praecessio vocatur) turbinalem evenit, ut polus caelestis ipse in caelo moveatur. Multis autem saeculis praeteritis, Vega, sideris Lyrae clarissima stella, nova stella polaris erit. Bibliographia | Scott G. Engle, Edward F. Guinan, Petr Harmanec, "Toward Ending the Polaris Parallax Debate: A Precise Distance to Our Nearest Cepheid from Gaia DR2" in Research Notes of the AAS vol. 2 (16 Iulii

0 $begingroup$ I have a dataset of images that differ in sizes, and when I extract the local binary pattern (uniform local binary 59 feature) from them I get several features as zeros, is it acceptable as features, if not, and how to deal with it classification image-classification feature-extraction matlab share asked 1 min ago gin gin 151 6 $endgroup$ add a comment  |