Data Classification of Machine Learning Assignment

Running head: DATA CLASSIFICATION
Data Classification
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Data Classification2
Executive Summary
Machine learning is the latest trend in the market which is often term to be as the study which
gives the computer the freedom take decisions and learn without being explicitly programmed or
without any human intervention. In this analysis proper classification algorithm will be used to
classify data, where the dataset for each function contains the static code metrics which generally
consist a software system. The dataset depicts weather software metric is defective or not. Thus
different data analysis with visualization will be performed according to the requirement
followed by a classification model buildup. At the end some conclusion will be concluded
regarding the analysis and the prediction made by the classification model.

Data Classification3
Table of Contents
Executive Summary.........................................................................................................................2
Introduction......................................................................................................................................4
Discussion........................................................................................................................................4
Task 1...........................................................................................................................................4
Task 2...........................................................................................................................................5
Task 3...........................................................................................................................................8
Task 4...........................................................................................................................................8
Conclusion.......................................................................................................................................9
Bibliography..................................................................................................................................10