@milind42 wrote:
I am stuck in the process of building a model.Basically I have 10 parameters all of which are categorical variables,Even the categories are having a large number of unique values(one category has 1335 unique values of 3lakh records),and the y value which is to be predicted is the number of days (Numerical),I am using randomforestregressor and getting an accuracy of around 55-60%,I am not sure if this is the max limit or I really need to change the algorithm itself.Kindly suggest me with any possible solutions.I am flexible with any kind of solutions
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