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Tag · 7 stories

Imbalance data

Every AIM story tagged Imbalance data, newest first: reporting, analysis and interviews.

confusion matrixSMOTE
Handling imbalanced data with class weights in logistic regression
AI Trends

Handling imbalanced data with class weights in logistic regression

This article discusses the importance of balancing class weights in logistic regression and also the steps to be followed to compute the class weights and the need for a bias free model.

darshan.m7 Oct 2022

Just in

  1. Accuracy Isn’t the Best Metric for Imbalanced Data

    18 Aug 2022, 05:30 IST

  2. Why the high accuracy in classification is not always correct?

    21 May 2022, 05:30 IST

  3. How can SMOTE technique improve the performance of weak learners?

    27 Jan 2022, 05:30 IST

  4. Hands-On Guide To LoRAS: A Better Oversampling Algorithm

    4 Mar 2021, 05:30 IST

  5. Using Near-Miss Algorithm For Imbalanced Datasets

    29 Oct 2020, 05:30 IST

5 Important Techniques To Process Imbalanced Data In Machine Learning
AI Trends

5 Important Techniques To Process Imbalanced Data In Machine Learning

Ambika Choudhury15 Feb 2019

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