Machine Learning Method (Decision Tree) to Predict the Physicochemical Properties of Premium Lebanese Kishk Based on Its Hedonic Properties

Machine Learning Method (Decision Tree) to Predict the Physicochemical Properties of Premium Lebanese Kishk Based on Its Hedonic Properties

This study sets the criteria of high-grade kishk (a dried fermented cereal–milk product) based on sensory attributes. For this, kishk samples were collected, and physicochemical attributes and sensory attributes were recorded. Subsequently, Spearman’s correlation between sensory properties and physi...

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Bibliographic Details
Main Authors: Ossama Dimassi, Youmna Iskandarani, Houssam Shaib, Lina Jaber, Shady Hamadeh
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Fermentation
Subjects:
machine learning
decision tree
kishk
grades
physicochemical properties
sensory attributes
Online Access:https://www.mdpi.com/2311-5637/10/11/584
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