Chapter 2 End to End ML Project
Selected Performance Measure
Root Measure Square Error
$$
RMSE(X,h)=\sqrt{\frac{1}{m}(h(x^i)-y^i)^2}
$$
generally the preferred performance measure for regression tasks
Mean Absolute Error
$$
MAE(X,h) =\frac{1}{m}\displaystyle\sum_{i=1}^{m}|h(x^i)-y^i|
$$
If there are many outlier districts
Check assumptions
make sure the task is about regression or classification, actually, if a task is to put the exist data into exist category , it is the classification task.