An easy way to compare your model's performance is to create a confusion matrix with the
Plot skill. A confusion matrix is a chart that compares the values of a known column (such as Survived) with the values predicted by your model. The values in each section range from 0 to 1. The closer the number is to 1, the more better the model is at correctly predicting that value.
If your target column has 10 or fewer unique values, you'll be prompted to create a matrix after using
In some cases, you already know the layout of your data in the database and need to work with only a small number of tables inside DataChat. In these cases, you can create a file that contains the queries that you need and, in conjunction with the
Load skill, pull only the data you need into DataChat.