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The video tutorial introduces the concept of lift charts as a tool for evaluating classification models. A lift chart is created by sorting classification results based on the probability of a target class. The results are then grouped into deciles, usually in 10 groups, based on the proportion of true positives. The chart shows how well the model is performing by comparing the percentage of true positives captured in each group.