model evaluation

Set random seed explicitly during the development process whenever a possible random procedure is involved in the application.

Use Pipeline() API in Scikit-Learn or check data segregation carefully when using other libraries to prevent data leakage.

Use threshold-independent metrics instead of threshold-dependent ones in model evaluation.