In this section, we will be using statistics to interpret the results of a machine learning model. We talked about graphs and how they allow us to see and interpret the predictions of a machine learning model, but we can also use those graph for statistical tests. Have a look at the following table:
| Categorical | Continuous | |
| Categorical | Chi-square | ANOVA |
| Continuous | ANOVA | Correlation |
Let's say we had a categorical outcome variable and we had a categorical predictor, we could use the chi-square test. The chi-square test of Independence will allow us to look at the relationship between two categorical variables.
Also, if we have a categorical outcome variable and a continuous predictor, we can use ANOVA to analyze the variance. If we have two categories that we're comparing, we can have a t-test instead, which...
