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What is a cumulative gain chart?
The cumulative gains chart shows the percentage of the overall number of cases in a given category “gained” by targeting a percentage of the total number of cases.
What is gain in logistic regression?
Gain at a given decile level is the ratio of cumulative number of targets (events) up to that decile to the total number of targets (events) in the entire data set. Interpretation: % of targets (events) covered at a given decile level. For example, 80% of targets covered in top 20% of data based on model.
What is gain lift?
Gain or lift is a measure of the effectiveness of a classification model calculated as the ratio between the results obtained with and without the model. Gain and lift charts are visual aids for evaluating performance of classification models.
Is the lift curve derived from the gain chart?
Indeed, it is derived from the gain chart. First, we order observations on the horizontal axis with the highest probability of being a target on the left and vice versa for the right-hand side. On the vertical axis, the lift curve indicates how many times more than average targets are included in this group.
Can you explain what is exactly gain curve?
Could you explain what is exactly gain curve, what is x-axis, y-axis, what is the interpretation etc.? What is shown in that plot is a cumulative gains curve.
Which is the equivalent of a point on the gains chart?
A point on the gains chart is equivalent to: The second term is on the X axis and it is fraction of targeted customers. Discussed curves (ROC, Gains and Lift) are computed based on information from confusion matrices.
How does the gain curve in machine learning work?
Iterating through different cut-off values C and recording their answers produces the gain curve. The percentage of whole sample within the segment tested serves as the X -axis and the percentage of the whole sample’s class A instances within the segment tested serves as the Y -axis.