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RANDOM FOREST AND XGBOOST IMPLEMENTATIONS TO PREDICT BANK PROFITABILITY: EVIDENCE FROM TURKISH DEPOSIT BANKS

Müəllif Liva OFLAZOĞLU
Nəşr olunduğu il 2023
Elm sahəsi İqtisad elmləri
Nəşriyyat IKSAD
Nəşr yeri Ankara

Liva OFLAZOĞLU. RANDOM FOREST AND XGBOOST IMPLEMENTATIONS TO PREDICT BANK PROFITABILITY: EVIDENCE FROM TURKISH DEPOSIT BANKS. Ankara, IKSAD, 2023.

This shows the importance of calculating profitability and moreover, since it depends on many factors that do not affect it equally, a great value rises of evaluating the weight that each factor exerts on he profitability and, therefore, proposing a ranking of these factors Liva OFLAZOĞLU, Ömer Faruk RENÇBER| 10 according to their importance. When it comes to classification and ranking, no better than new technologies can help us, such as machinelearning (ML), a branch of artificial intelligence (AI).