Visualizing Classification Boundaries in Machine Learning

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Explore different classification algorithms like Logistic Regression, Decision Tree, and Neural Networks using a simple toy dataset. See how Support Vector Classifier and Stochastic Gradient Descent impact classification boundaries. Witness the power of single-layer neural networks with varying hidden layer sizes.

  • Machine Learning
  • Classification Boundaries
  • Algorithms
  • Neural Networks

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Presentation Transcript


  1. Classification Boundaries By Aradhya Chouhan

  2. The dataset. We use sklearn.make_moons dataset builder from scikit-learn. It is a simple toy dataset to visualize clustering and classification algorithms.

  3. Logistic Regression

  4. Stochastic Gradient Descent with Hinge Loss

  5. Support Vector Classifier with RBF kernel

  6. Decision Tree using GINI Index

  7. Single layer Neural Network of hidden layer of 3

  8. Single layer Neural Network of hidden layer of 5

  9. Single layer Neural Network of hidden layer of 10

  10. Single layer Neural Network of hidden layer of 100

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