score_model_data: Model Deployment: Score model data.

In yangx227/SimmonsResearchR: An implementation of R functions used in Stat team.

Model Deployment: Score model data.

Description

Based on the models built, score the modeling base. Probability will be calculated, and the new segments will be generated based on the model scores. Segment has 3 levels. 0: prospects. 1: selected prospects. 2: users. Selected prospected is non users and whose model scores are high than the cutoff value.

Usage

score_model_data(model = model, newdata = newdata, ID = ID,
  cutoff = 0.5, file = file)

Arguments

model	The model generated by lrm_model.
newdata	The modeling data used to build the model.
ID	The ID variable in the data.
cutoff	The cutoff percent used to create the segment.
file	The file name to save the model probabilities and the segments.

Value

.

Examples

model.final.score <- score_model_data(model = model.final, newdata = ModelBase, ID = "BOOK_ID", cutoff = 0.1, file = "modelscores.xlsx") 

yangx227/SimmonsResearchR documentation built on April 24, 2022, 6:44 a.m.