List of Classification Datasets

Here are the top 10 classification datasets categorized by domain:

Biological and Medical Datasets:

  • Iris Dataset
  • Breast Cancer Wisconsin Dataset
  • Heart Disease Dataset

Finance and Socio-economic Datasets

  • Titanic Dataset
  • Adult Census Income Dataset

Image Recognition Datasets

  • MNIST Dataset
  • Digits Dataset
  • Fashion MNIST Dataset

Chemical Analysis and Manufacturing Datasets

  • Wine Dataset

Text and Natural Language Processing Datasets

  • Spam Email Dataset

Dataset for Classification

Classification is a type of supervised learning where the objective is to predict the categorical labels of new instances based on past observations. The goal is to learn a model from the training data that can predict the class label for unseen data accurately. Classification problems are common in many fields such as finance, healthcare, marketing, and more. In this article we will discuss some popular datasets used for classification.

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What are classification datasets?

Classification datasets are collections of data used to train and evaluate machine learning models designed for classification tasks. In classification tasks, the goal is to predict the categorical labels of new instances based on the features provided. These datasets consist of input features (also called attributes or predictors) and corresponding categorical labels (also known as classes or targets)....

List of Classification Datasets

Here are the top 10 classification datasets categorized by domain:...

Biological and Medical Datasets

Iris Dataset...

Finance and Socio-economic Datasets

Titanic Dataset...

Image Classification Datasets

MNIST Dataset:...

Classification Datasets FAQs

What is a classification dataset?...

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