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Analysis of the Iris Supervised Classification ML Problem

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Machine Learning using the Python ecosystem

Classifiers: Logistic Regression , LDA, KNN, Decision Trees, Gaussian Naive Bayes, SVM

Steps to run:

Using Docker:

Build images and run the containers

+ $ docker-compose up -d
Plots outputs will be mounted at /var/lib/docker/volumes/pythonml_benchmarks on the host/VM path
Install the required dependencies and run the script
+ $ py iris.py

You can also run via jupyter notebook:

+ $ jupyter notebook
Output should look like this :

Screenshot Screenshot

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Analysis of the Iris Supervised Classification ML Problem

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