In a scenario with a large number of weakly correlated features, ensemble techniques can help improve the performance of the machine learning model by training multiple models using different subsets of features. This allows each model in the ensemble to focus on different aspects of the data and capture various patterns. Feature selection and dimensionality reduction techniques can also be used, but they are not ensemble techniques. Therefore, the correct answer is B, as it specifically addresses the use of ensemble techniques in this scenario.