... feature engineering and time-aware evaluation using the WFP Nigeria dataset. Design/methodology/approach The study uses 60,566 observations across Nigerian commodity markets (2002–2025). Linear Regression, Random Forest, ARIMA, and LSTM models were evaluated using lag and rolling-average temporal...

... observations) were used to compare six forecasting models: Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS), Multiple Linear Regression (MLR), Random Forest (RF), Extreme Gradient Boosting (XGBoost) and Support Vector Regression (SVR). The dataset was partitioned into a training...

... attending undergraduate entrepreneurship courses. Establishing strong partnerships (0.359), learning (0.347) and people-organizing ability (0.341) were promising correlated entrepreneurial traits. Female students exhibited fewer entrepreneurial traits than male students. The random forest model exhibited 60...