Use whichever platform you prefer to work on – we will give references and hints for R and for Python.

Task

Use the first 5000 digits in MNIST and train classifiers using at least two of the following classifier types:

• LDA or Logistic Regression
• Support Vector Classifier
• Decision Tree Classifier
• Random Forest Classifier
• AdaBoost
• xgboost (any of the classifiers in the library)

Evaluate the quality – which one has fewer misclassifications?