What is cumulative gain curve in ML in R

This recipe explains what is cumulative gain curve in ML in R

Recipe Objective

What is the cumulative gain curve in ML in R?

A cumulative gain curve is used for evaluating the performance of a model by showing how the model sorts the data w.r.t true data values. A cumulative gain curve displays the percentage of number of values in a category gained by a corresponding target percentage of the total number of values. This recipe explains what the cumulative gain curve in machine learning in R is.

Explore the BERT Variants - ALBERT vs DistilBERT

Step 1 - Install the necessary libraries

install.packages("WVPlots") # common plot of analysis
library(WVPlots)

Step 2 - Generate data for the plot

set.seed(1)
y = abs(rnorm(50)) + 0.1
x = abs(y + 0.5*rnorm(50))
df= data.frame(model=x, value=y)

Step 3 - Use the WVplots to plot a gain curve

WVPlots::GainCurvePlot(df, "model", "value", title="Cumulative Gain Curve")

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I come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good... Read More

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