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IEEE/ICACT20260379 Slide.08        [Big Slide]	Oral Presentation
	Logarithmic loss cost function J(¥è) is assumed to be the sum of the costs 𝐽(𝜽)= −¢²1_𝑖〖 ( 𝑦^𝑖 log⁡(𝑝^𝑖)+(1−𝑦^𝑖 ) log⁡(1−𝑝^𝑖 ))〗 Regression coefficient ¥è is determined by minimizing the cost function using the gradient descent method or others. (In this research) By applying this method to each class, multi-class logistic regression is performed One Vs Rest type classifier (cf. Multinomial logistic regression )

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