inlier

the data point is considered an inlier in the dataset.

in statistical analysis, an inlier is a value that fits well with the rest of the data.

outliers can skew the results, making it hard to identify inliers.

we need to filter out the outliers to focus on the inliers.

in machine learning, identifying inliers can improve model accuracy.

the algorithm successfully detected the inliers in the noisy data.

inlier detection is crucial for robust statistical methods.

we analyzed the inliers to understand the underlying trends.

inliers help to create a more accurate regression line.

it's important to distinguish between inliers and outliers in data science.