How to apply the heuristic algorithms for prediction/modeling process?.

Hello everyone,

I have dataset divided into training and testing. I need to apply heuristic algorithms for the modeling / simulation process.

Can anyone help me.

Regards

[Ameer Hamza]

Do you have a mathematical model for your system?

[Ahmed Elbeltagi]

Yes, i have. I am using Matlab R 2016 b.

Answer 1

[Puru Kathuria]

A general workflow is described in the below steps:

• Define the problem you want to solve by defining the input variables and the output variable. (Ex: Prediction or Classification)
• Explore the dataset of the underlying problem. (Ex: Probability distribution of the data)
• Divide the dataset between Train/Test/Validation.
• Choose a mathematical model or algorithm that will help you model the problem and predict the output. (Ex: Neural Networks, SVM, Linear Regression etc)
• Now, train that algorithm on your train dataset and perform prediction using Test data set. Find the performance of the algorithm using various metrics. (Ex: MSE, Accuracy, Precision)
• Follow these examples for detailed implementation of the above mentioned workflow:
• Keyword spotting using LSTMs
• Handwriting Recognition using Classification trees
• Linear Regression

Hope it helps!