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Yaşlandıkça, ince çizgilerin ve kırışıklıkların oluşması, yaşlılık lekelerinin ortaya çıkması ve cildin gevşeyip sarkması gibi zamanın geçtiğini gösteren belirtiler yüzümüzde kaçınılmaz olarak ortaya çıkar
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As standard in all statistical classification problems, it is important to split the data available into training and test samples and only evaluate the model based on the test sample results as it is generally considered more trustworthy than evidence based on in-sample performance, which can be more sensitive to outliers and data mining.
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Yaşlandıkça, ince çizgilerin ve kırışıklıkların oluşması, yaşlılık lekelerinin ortaya çıkması ve cildin gevşeyip sarkması gibi zamanın geçtiğini gösteren belirtiler yüzümüzde kaçınılmaz olarak ortaya çıkar
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As standard in all statistical classification problems, it is important to split the data available into training and test samples and only evaluate the model based on the test sample results as it is generally considered more trustworthy than evidence based on in-sample performance, which can be more sensitive to outliers and data mining.