artificial-intelligence-coursework's Introduction

Artificial Intelligence Coursework

Group Members:

Abubakr Bhula
Aum Patel
Muhammad Azhar Gaffar

Project Dataset:

League of Legends Diamond Ranked Games (10 min)

Description:

This is the final repository for the IN3062 Coursework. We are using this Dataset to categorise whether a game of League of Legends is a Win or Loss for the Blue Team based on the first 10 minutes of a game.

Progress Report:

Task	Description	Done by
Analysis of Dataset	We have analysed the Dataset in order to look for null values, consider correlation and look at other factors that we may need to take into account.	Everyone
Logistic Regression	Implementation of Logistic Regression with improvements.	Abubakr
Decision Trees	Implementation of Decision Tree Classification algorithm with improvements.	Aum
K Nearest Neighbors	Implementation of KNN Classification with improvements.	Muhammad
Neural Network	Implementation of a Multilayer Perception Model with improvements.	Everyone

Note for Marker:

The accuracy notes at the bottom of each model was used to track our workflow for each model in preparation for the report. You will find the final accuracy scores in the report- they have been standardised with each model by using the same "Random State" split as a control.
In KNN model, line 128 and 135 have been commented out as they take a long time to run. I would recommend uncommenting them if you would like to see our baseline model and a plot of the n_neighbors tested. This would be the full output we show in the report.
In the Neural Network model, line 129 and 132 have been commented out as they take a long time to run. I would recommend uncommenting them if you would like to see our baseline model and intermediate model.

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