metadata

annotations_creators:
  - machine-generated
language:
  - en
license: mit
pretty_name: Synthetic Linear Regression Dataset
tags:
  - linear-regression
  - synthetic
  - tabular
task_categories:
  - tabular-regression
size_categories:
  - n<1K

viewer: true

Synthetic Linear Regression Dataset

This dataset consists of 1000 synthetic data points for training and evaluating simple linear regression models.

Dataset Description

x: A single input feature, randomly sampled from a uniform distribution between 0 and 10.
y: Target value computed as:

[ y = 3.5x + 7 + \epsilon ]

where ( \epsilon \sim \mathcal{N}(0, 5) ) is Gaussian noise added to introduce variance.

Usage

You can load this dataset manually using pandas:

import pandas as pd

df = pd.read_csv('synthetic_linear_data.csv')
print(df.head())