Table 2 Structure of the Datasets.

From: Robust evaluation of classical and quantum machine learning under noise, imbalance, feature reduction and explainability

Dataset Name

Features

Features used for classical ML Models

Features used for Quantum

ML Models

Instances

Class Distribution

Purpose

Iris

4

4

4

150

Balanced (3 classes)

Classic classification dataset

Wine Quality

13

13

6

178

Imbalanced

Chemical analysis of wine

Breast Cancer Wisconsin

30

30

6

569

Imbalanced

Medical diagnosis

Human Activity Recognition

561

561

6

10,299

Balanced (6 activities)

Real-world sensor data

Pima Indian Diabetes

8

8

6

768

Imbalanced

Medical data

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