Skip to content
/ avila Public

Analysis of the Avila bible dataset from the UCI repository using several machine learning algorithms.

License

Notifications You must be signed in to change notification settings

m-pana/avila

Repository files navigation

A digital approach to palaeography

An extensive analysis of the Avila dataset. The goal is to identify which scribe is the author of a certain pattern based on the available attributes.

Algorithms employed include:

  • QDA
  • SVM
  • Logistic Regression
  • Ridge classifier
  • k-NN
  • Random forest

and others.

To shorten computation times and to ease the illustration of the behavior of certain algorithms, the study is restricted to the patterns associated to 6 out of the 12 scribes.

Correctly visualize the work

This is an essay written in the form of a Jupyter Notebook. It contains images and LaTeX equations.
To correctly visualize the content of the essay, either:

About

Analysis of the Avila bible dataset from the UCI repository using several machine learning algorithms.

Topics

Resources

License

Stars

Watchers

Forks