Why does ensemble methods have better chances of giving a better model than an individual model ?

More often, ensemble methods are a fusion of weaker models like decision trees,  with low depth or subset of features used to split. Following are the main reasons why ensemble methods work better than individual models Each individual model works on some aspect(some features) of the dataset. Hence ensemble methods is a mixture of many…