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).