List: Imbalanced Classifications | Curated by Luca Zavarella | Medium

Aug 24, 2022

6 stories

Imbalanced Classifications

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Samuele Mazzanti

Your Dataset Is Imbalanced? Do Nothing!

Class imbalance is not a problem. Debunking one of the most widespread misconceptions in the ML community.

Aug 24, 2022

Your Dataset Is Imbalanced? Do Nothing!

Aug 24, 2022

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KSV Muralidhar

The right way of using SMOTE with Cross-validation

This article discusses the right way to use SMOTE to avoid inaccurate evaluation metrics while using cross-validation.

Mar 29, 2021

The right way of using SMOTE with Cross-validation

Mar 29, 2021

Hasan Ersan YAĞCI

Under-Sampling Methods for Imbalanced Data (ClusterCentroids, RandomUnderSampler, NearMiss)

The imbalance of data is a big problem for classification tasks. In python, there is a library to allow to use of many algorithms to handle…

Jul 15, 2021

Under-Sampling Methods for Imbalanced Data (ClusterCentroids, RandomUnderSampler, NearMiss)

Jul 15, 2021

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Zeya LT

Precision and Recall Made Simple

Making precision and recall easy to understand with simple example, step-by-step explanation and animated GIFs

Nov 9, 2021

Precision and Recall Made Simple

Nov 9, 2021

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Alon Lekhtman

Should I Look at Precision & Recall OR Specificity & Sensitivity?

In the data science community, it is common to look at precision and recall to evaluate the models you build. In the medical world, it is…

Aug 5, 2019

Should I Look at Precision & Recall OR Specificity & Sensitivity?

Aug 5, 2019

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Luca Carniato

Multi-Class classification using Focal Loss and LightGBM

Using Focal Loss for multi-class classification

Apr 6, 2021

Multi-Class classification using Focal Loss and LightGBM

Apr 6, 2021

Luca Zavarella

Luca Zavarella

Book Author

Microsoft MVP for AI and Data Platform, Head of Data & AI at iCubed. Classical pianist in the free time.

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