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The video tutorial discusses lit charts as a tool for evaluating classification models. A lift chart sorts classification results by the probability of a target class. The process involves arranging predictions and confidence levels from top to bottom, then creating a bar chart grouping results into deciles based on the proportion of true positives. The chart helps analyze the performance of the model by showing the coverage of true positives in different segments of the data.