From 2f32142ea7162aa05ac33e4e89df5b9a1c657ddd Mon Sep 17 00:00:00 2001
From: TheSiahxyz <164138827+TheSiahxyz@users.noreply.github.com>
Date: Mon, 29 Jul 2024 14:14:27 +0900
Subject: Init

---
 SI/Resource/Data Science/Machine Learning/Contents/Classification.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

(limited to 'SI/Resource/Data Science/Machine Learning/Contents/Classification.md')

diff --git a/SI/Resource/Data Science/Machine Learning/Contents/Classification.md b/SI/Resource/Data Science/Machine Learning/Contents/Classification.md
index 12c125e..d3b908d 100644
--- a/SI/Resource/Data Science/Machine Learning/Contents/Classification.md	
+++ b/SI/Resource/Data Science/Machine Learning/Contents/Classification.md	
@@ -7,11 +7,10 @@ tags:
 - Machine-Learning
 - Classification
 ---
-
 # Classification
 
 Classification in the context of machine learning and statistics is a type of supervised learning approach where the output variable is a category, such as "spam" or "not spam", or "disease" and "no disease". In classification, an algorithm is trained on a dataset of labeled examples, learning to associate input data points with the corresponding category label. Once trained, the model can then categorize new, unseen data points.
 
 1. Input: Continuous (float), Discrete (categorical), etc.
 2. Output: Discrete (categorical)
-3. Model types: Binary - [[Sigmoid]], polynomial - [[softmax]]
\ No newline at end of file
+3. Model types: Binary - [[Sigmoid]], polynomial - [[softmax]]
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