Machine Learning: Binary Classification Model

Project Statement

This is the concluding part of the Hamoye Stage C Capstone Project

Here, I tried to make a comprehensive analysis to the problem we tried in Hamoye Stage C assessment. I took a step further to visualize what was not done in Stage C assessment as it had some limited instructions.

The Project as a whole seeks to build a BINARY CLASSIFICATION MODEL that predicts if a grid is stable or stable

Different algorithms were built to accommodate different accuracy and also performances

Dataset

UCI Electrical Grid Stability Simulated dataset

Provided by:https://archive.ics.uci.edu/ml/datasets/Electrical+Grid+Stability+Simulated+Data+

Dataset Content

14 features - 12 primary predictive features - 2 dependent variable

Dataset Explanation

MORE EXPLANATIONS ABOUT THE DATASET ARE IN THE NOTEBOOK FOR MORE UNDERSTANDING