aspg-33-4256-1792222694 20261017073814 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Galoitica: Journal of Mathematical Structures and Applications GJMSA 2834-5568 2026 13 1 Hadeel Imad Naser Teaching, Department of Statistics, College of Administration and Economics, University of Kirkuk, Iraq Wakaa Ali Hadba Teaching, Department of Statistics, College of Administration and Economics, University of Kirkuk, Iraq Normal false false false TR X-NONE AR-SA DefSemiHidden="false" DefQFormat="false" DefPriority="99" LatentStyleCount="371"> UnhideWhenUsed="true" QFormat="true" Name="heading 2"/> UnhideWhenUsed="true" QFormat="true" Name="heading 3"/> UnhideWhenUsed="true" QFormat="true" Name="heading 4"/> UnhideWhenUsed="true" QFormat="true" Name="heading 5"/> UnhideWhenUsed="true" QFormat="true" Name="heading 6"/> UnhideWhenUsed="true" QFormat="true" Name="heading 7"/> UnhideWhenUsed="true" QFormat="true" Name="heading 8"/> 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Name="List Table 7 Colorful Accent 5"/> Name="List Table 1 Light Accent 6"/> Name="List Table 6 Colorful Accent 6"/> Name="List Table 7 Colorful Accent 6"/> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0in; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi; mso-ansi-language:TR;} Breast cancer is a common type of cancers and the main reason of increased death of women universally. Recently, ML methods have become important in varying fields, such as Logistic Regression, Elastic Net Logistic, Decision Tree, Random Forest, Boosting, Naive Bayes and K Nearest Neighbor. The aim of the current study is to know and predict the type of cancerous tumor whether it is benign or malignant. These above techniques are expected to be helpful. Breast tumor type diagnosis using numerous performance metrics i.e. accuracy, classification error, sensitivity and specificity, both certified and trained models were assessed. The models were developed to determine which model would provide the best performance and comparisons were done. A separate data set from the one used to create the models was utilized to confirm every model. According to the analysis, the findings showed that elastic net logistic model had the highest performance in accurate classification rate (accuracy), classification error and sensitivity. Making it the best classifier for predicting the kind of breast cancer among all other models, privacy and it was also distinguished by reduce the high dimensionality and multicollinearity problems. 2026 01 09 4256 https://creativecommons.org/licenses/by/4.0/ 10.54216/GJMSA.130101 https://americaspg.com/journal/33/article/4256 https://americaspg.com/storage/01769355586.pdf