Boosting Performance of Machine Learning Models

People often get stuck when they are asked to improve the performance of existing predictive models. What usually they do is try different algorithms and check their results. But often they end up not improving the model. Here are some of the steps you can take to boost your existing models. Add more data: More data is always useful. It helps us capture all the variance that the data has. Sometimes we may not have the option to get additional data for training. Example when you are competing in data science competitions. But while working on client projects, you can ask for more data if it’s desired. The question is when we should ask for more data?We cannot quantify more data. It depends on the problem you are working on…


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