Prediction Model by Activity in Samsung Smartphones

1 Introduction

The purpose of this analysis is to find the model to predict the activities that a person does, using 562 measurements taken from a Samsung Smartphone by activity (Jorge L. Reyes-Ortiz, 2012).

Predictive models used to be Support Vector Machine(SVM) with its variants, Random Forest and Decision Trees to identify the model that best predicts the evaluation data from the training data.
Homework Coursera 2

Esta entrada fue publicada en General, Manual, Minería de Datos y etiquetada , , . Guarda el enlace permanente.

Deja un comentario

Tu dirección de correo electrónico no será publicada. Los campos obligatorios están marcados con *