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in this video were going to learn about lit charts a useful tool for evaluating classification models so a lift chart is based on sorting classification results by the probability of a target class so if you have some data that might look something like this here so you have predictions of here subscribe yes or no and the confidence of yes or one or so on sorted from the top to the bottom and heres the result to create a lift chart the algorithm first does this sort and arranges from top to bottom and then it creates a bar chart which groups the results usually in 10 deciles could be a different number of groups based on the proportion of those that had true positives so in this result in this example here it looks at the first 10 percent of data 99 of them were true positives and that covered 28 of all the true pauses in the entire data set then the next 20 percent the the next 20 of the data yeah here something like eight almost 90 of true positives and that covered 54 of all the
