alchemista27 / Root-Cause-Analysis

This project is mainly a classification model using Decision Tree and Random Forest

Root Cause Analysis

Project Description

This project is how I build a Machine Learning model which is used for analysing the cause of certain error in a database. The model is based on Decision Tree and Random Forest. This is just a simple classification model that is used to classify if a certain set of data belong to certain error label.

Library

This project is using this following python library:

1. Pandas
2. Numpy
3. Matplotlib
4. Seaborn
5. Scikit Learn

Result

The performance of the model is measured as an accuracy score. The accuracy score for both model is stated below:

1. Decision Tree accuracy 0.79
2. Random Forest accuracy 0.81