Using departmental indicators and machine learning to predict early‑career patrol officer retention

Kayla Freemon

Using departmental indicators and machine learning to predict early‑career patrol officer retention

Kayla Freemon

Research output: Contribution to conference › Presentation › peer-review

Original language	American English
State	Published - 2024
Event	Using departmental indicators and machine learning to predict early‑career patrol officer retention - San Francisco, United States Duration: Nov 13 2024 → Nov 16 2024 https://asc41.org/wp-content/uploads/ASC_Annual_Meeting_2024_Program.pdf

Conference

Conference	Using departmental indicators and machine learning to predict early‑career patrol officer retention
Country/Territory	United States
City	San Francisco
Period	11/13/24 → 11/16/24
Internet address	https://asc41.org/wp-content/uploads/ASC_Annual_Meeting_2024_Program.pdf

Access to Document

https://asc41.org/wp-content/uploads/ASC_Annual_Meeting_2024_Program.pdf

Cite this

@conference{df2b0c5affab45f18bd6097806db6225,

title = "Using departmental indicators and machine learning to predict early‑career patrol officer retention",

author = "Kayla Freemon",

year = "2024",

language = "American English",

note = "Using departmental indicators and machine learning to predict early‑career patrol officer retention ; Conference date: 13-11-2024 Through 16-11-2024",

url = "https://asc41.org/wp-content/uploads/ASC\_Annual\_Meeting\_2024\_Program.pdf",

}