Özet:

In this study, some egg quality characteristics (form index, crop thickness, crop weight, crop index, crop height, yellow index, yellow height, specific weight and Haugh unit) and the relationship between the yellow and crop weight of the egg were studied using the CHAID (Chi-Squared Automatic Interaction Detection), the wide CHAID and CART (Classification and Regression Trees) algorithms. CHAID, broad CHAID and CART algorithms normality, accuracy, homogenity, etc. They have significant advantages because they do not require the assumptions. The methods were compared using the determination rate (R2), the corrected determination rate (), the equity of the error square average (RMSE) and the average absolute percentage error (MAPE). As a result, it has been found that the best method for determining the quality characteristics of eggs that affect the yellow weight of eggs is the CHAID algorithm. With this method, the highest yellow weight was obtained from the group where the egg weight was more than 13.36 g and the shape index was higher than 0.895 g. When determining the quality characteristics that affect the weight of the ac, the most suitable method was the CART algorithm. According to this method, the highest egg ac weight is obtained from the group where the egg weight is more than 12.47 g, the egg index is 0.326 and the shape index is 0.865 .

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