College of Computer Science and Mathematics

Discussion of a high diploma thesis in the College of Computer Science and Mathematics – Department of Software entitled:

“Determination of dairy product quality using machine learning”

In continuation of the scientific research movement and with the follow-up and presence of the Dean of the College of Computer Science and Mathematics

Respected Professor Dr. Duha Bashir Abdullah

It was discussed in the discussion hall of the College of Computer Science and Mathematics at the University of Mosul on Tuesday 28/2/2024

High Diploma’s thesis by Noor Abd Al Khaliq Fadel Supervised by Assist. Prof.  Baydaa sulaiman Bahnam

Determining the quality of the milk product is crucial for the purpose of monitoring to reduce potential losses and damage. In order to obtain an accurate detection of the quality of the milk product, whether high-quality or low-quality milk, machine learning algorithms were used in this thesis, namely the Support Vector Machine (SVM) algorithm,  K-nearest neighbor (KNN) algorithm, Decision Tree (DT) algorithm and Bagging algorithm using milk dataset taken from Kaggle repository.

The proposed models were trained and tested with the aim of finding the best and most accurate model for detecting milk quality and were evaluated using evaluation metrics: Accuracy, Precision, Recall, F1_score and Confusion matrix. According to the evaluation results, three models: SVM, KNN, and DT outperformed the bagging algorithm, obtaining the highest level of 100% for all metrics. The SVM algorithm was the most efficient because its execution time was 0.146 seconds, which was less than other models.

The discussion committee consists of

Prof. Dr. Najla Akram Al-Saati – Chairman

Assist. Prof. Aseel Waleed Ali – Member

Assist. Prof.  Baydaa sulaiman Bahnam– Member and supervisor