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

2 次查看(过去 30 天)
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

回答(1 个)

Puru Kathuria
Puru Kathuria 2021-2-26
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!

类别

Help CenterFile Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by