Using Multivariate Adaptive Regression Splines for Estimating Honey Yield

Yıl 2025, Cilt: 3 Sayı: 2, 64 - 71, 31.12.2025

Mine Yilmaz , Cem Tırınk , Hasan Önder

Öz

In this study, a model was developed to estimate the Honey Yield (HY) variable, which is an important production parameter in the beekeeping sector. MARS (Multivariate Adaptive Regression Splines) method was used in the creation of the model. Hygiene (HI), Aggressiveness (AG), Brood Frame (BF) and Total Frame (TF) were among the independent variables used in the analysis. In order to better reflect the non-linear structure of the model, the interactions of the independent variables with each other were also included in the model. The performance of the model was examined using critical evaluation criteria such as R2, Pearson correlation coefficient (PC), root mean square error (RMSE) and Akaike Information Criterion (AIC). For the training set, R2 was calculated as 0.677, PC as 0.823, RMSE as 6.307 and AIC as 544.389. These results show that the model can estimate the HY variable quite well on the training data. However, R2 0.567, PC 0.760, RMSE 7.060 and AIC 197.715 values were obtained in the test set. A decrease in the performance of the model was observed in the test set, indicating that the generalization ability of the model may be limited. According to the model results, one of the most effective factors on HY is the HI variable. In cases where aggressiveness is above 1.25 units, a significant decrease in HY was observed. Similarly, positive and negative effects were observed on HY in the ranges where the TC value varied between 5.17 and 8.83. In addition, the effects of the interactions of AG and TF variables with BF on HY were also observed clearly. The model reveals that low hygiene and medium total frame count are important factors in reaching the highest levels of HY. As a result, while the MARS model exhibits a strong performance in the training set, it is observed that its performance decreases slightly in the test set. This suggests that the model requires further improvement. However, in general, it shows that the MARS model is a usable tool for HY estimation and can contribute to the development of strategies to increase HY in beekeeping.

Anahtar Kelimeler

MARS , Honey , Aggressiveness , Brood

Kaynakça

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