Weight Prediction

$0.99

1.0for iPhone, iPad

KC Keirouz

Developer

Apr 3, 2020

Update Date

Health & Fitness

Category

App Store

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

Weight Prediction Screenshots

iPad

iPhone

About Weight Prediction

Human body weight refers to a person's mass or weight. Body weight is measured in kilograms, a measure of mass, throughout the world, although in some countries such as the United States it is measured in pounds, or as in the United Kingdom, stones and pounds.

Excess or reduced body weight is regarded as an indicator of determining a person's health, with body volume measurement providing an extra dimension by calculating the distribution of body weight.

This height versus weight machine learning prediction app is only suitable for adult men and women. It isn't suitable for children or people under 18. It covers heights from 148cm (4ft 10in) to 193cm (6ft 4in). Normal, overweight and obese weight ranges are given, using metric or imperial units. Height and weight training data preprocessing is undertaken using Python. CreateML toolset is used to fit a model to training data. Height as a predictor feature is used with trained model to predict weight.