Machine-Learning-Classifying-with-Time-Series-Data

This Code Examines Time Series data and classifies it. It is for small datasets. It was developed on a leg deformity classification data set. Each code generates a plot graphing the top two key points of measure and color coding the classification.

PreProcessing

The time series needs a distance measure from a baseline time series to quantify a measure of distance.

Files

The models used are as follows:

K Nearest Neighbors: LunKNN.py

Random Forest: LunRandom.py

Naive Bayes: LunBayes.py

Data Set