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Using classic machine learning models - K-NN, Multiclass Logistic Regression, SVM and Random Forest to make predictions

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Classic machine learning models

Introduction

In this work we build classic machine learning models - K-NN, Multiclass Logistic Regression, SVM and Random Forest to make predictions.

The Human Activity Recognition Using Smartphones Data Set is used.

Reference

Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. A Public Domain Dataset for Human Activity Recognition Using Smartphones. 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013. Bruges, Belgium 24-26 April 2013.

SIT720 Machine Learning (2017), Deakin University, Australia

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Using classic machine learning models - K-NN, Multiclass Logistic Regression, SVM and Random Forest to make predictions

machine-learning random-forest svm prediction k-nearest-neighbours k-nn multiclass-logistic-regression

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