A machine learning-based water potability prediction model by using synthetic minority oversampling technique and explainable ai

HIGHLIGHTS

• who: Explainable AI et al. from the Department of Computer Science and Engineering Pandit Deendayal Energy University, Gandhinagar, Gujarat, India have published the research work: A Machine Learning-Based Water Potability Prediction Model by Using Synthetic Minority Oversampling Technique and Explainable AI, in the Journal: Computational Intelligence and Neuroscience of 20/09/2022
• what: This work shows the comparative analysis of different machine learning approaches like Support Vector Machine (SVM) Decision Tree (DT) Random Forest Gradient Boost and Ada Boost used for the water quality classification. There are many reasons why water is deteriorating because . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.