Iris

The Iris dataset contains measurements of iris flowers from three different species and is used to evaluate the performance of machine learning models in classification tasks.

Papers using Iris (12)

Performance Analysis of Quantum Support Vector Classifiers and Quantum Neural Networks2025Genetic Transformer-Assisted Quantum Neural Networks for Optimal Circuit Design2025Performance Analysis and Noise Impact of a Novel Quantum KNN Algorithm for Machine Learning2025Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey2024 · 8 citesTraining Classical Neural Networks by Quantum Machine Learning2024 · 3 citesBayesian Parameterized Quantum Circuit Optimization (BPQCO): A task and hardware-dependent approach2024 · 2 citesImproving the Reliability of Quantum Circuits by Evolving Heterogeneous Ensembles2024 · 1 citesAdiabatic Quantum Support Vector Machines2024A Modified Depolarization Approach for Efficient Quantum Machine Learning2024Machine Learning for Quantum Computing Specialists2024Variational quantum classifiers via a programmable photonic microprocessor2024Quadratic speed-ups in quantum kernelized binary classification2024