Let’s say we have one target variable and 10 predictors. However while building the model we found that there are only 2 significant variables. In such cases
- Is it feasible to build the model using those two variables only.
- Will it impact the result if we include all variables. (Note: No Multi co-linearity exists)
- Does it depend on the number of variables?
The reason why I asked this question in most of the articles I have seen that we build model using the variable exists and we find that few variables are significant, However we use all variables to predict.(Which ever model it may be (Logistic, Decision tree, Random Forest or Boosting)
Kindly correct my understanding.