Overfitting, Underfitting, Bias Variance Tradeoff, Bias, Variance.
either the quality of the data or the model is too simple. Make sure the data is clean, the target variable is balanced, and add relevant features. On the other hand focus on tuning the model, or choosing a more complex model. For instance, instead of a random forest, try XGBoost. Bias and Variance