Linear Combination | Definition, Methods & Examples

ricks_ai_lab on Instagram: "📉 𝐋𝐢𝐧𝐞𝐚𝐫 𝐑𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧 𝐯𝐬 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜 𝐑𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧 📈 Linear regression works for predicting continuous numbers, but it falls apart when the task is a yes/no decision. Its outputs can explode below 0 or above 1, which makes no sense for probabilities. 📉 𝐖𝐡𝐲 𝐋𝐢𝐧𝐞𝐚𝐫 𝐑𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧 𝐅𝐚𝐢𝐥𝐬 𝐟𝐨𝐫 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 — Outputs aren’t bounded — Produces unstable probability estimates — Treats binary labels as if they