lift_plot: Lift and Gain Charts
In Rkabacoff/qacReg: Multiple Regression and Logistic Regression
lift_plot R Documentation
Lift and Gain Charts
Description
Create lift and gain charts for binary
classification problems
Usage
lift_plot(actual, prob, positive = "yes")
Arguments
actual
actual class.
prob
predicted probability of target class.
positive
which class is the target class?
Value
a data frame with lift and gain values for each decile.
Examples
# logistic regression example
fit <- glm(caesarian ~ ., family=binomial, data = caesarian)
pred <- predict(fit, newdata=caesarian, type="response")
results <- lift_plot(caesarian$caesarian, pred, positive="yes")
print(results)
Rkabacoff/qacReg documentation built on Aug. 1, 2022, 11:11 p.m.
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| lift_plot | R Documentation |
Lift and Gain Charts
Description
Create lift and gain charts for binary classification problems
Usage
lift_plot(actual, prob, positive = "yes")
Arguments
actual |
actual class. |
prob |
predicted probability of target class. |
positive |
which class is the target class? |
Value
a data frame with lift and gain values for each decile.
Examples
# logistic regression example fit <- glm(caesarian ~ ., family=binomial, data = caesarian) pred <- predict(fit, newdata=caesarian, type="response") results <- lift_plot(caesarian$caesarian, pred, positive="yes") print(results)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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