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6 Individual Machine Learning Algorithms for Classification Model — Study Case: Credit Risk Analysis

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induvidual_classification_model

6 Individual Machine Learning Algorithms for Classification Model — Study Case: Credit Risk Analysis

Currently, there are many classification models that can be used, such as ensemble learning and deep learning. But in this article, I will discuss individual classification models or what is usually called ‘weak learners’. These models will be used to create a classification model that determines the status of someone’s credit.

There are 6 classification models that will be discussed here, and each model has its own unique algorithm.

  1. Logistic Regression
  2. Decision Tree
  3. Support Vector Machine
  4. Linear Discriminant Analysis
  5. K-Nearest Neighbor\
  6. Naive Bayes

For the full article look here: 6 Individual Machine Learning Algorithms for Classification Model — Study Case: Credit Risk Analysis

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