Interquartile Range
In statistics, the difference between the third quartile and the first quartile, reflecting the spread of the middle 50% of the data; it is insensitive to extreme values and is often used for robust descriptions of dispersion.
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The interquartile range (IQR) is the difference between the third quartile and the first quartile, i.e., the span of the middle 50% of the data.
IQR is insensitive to extreme values and is particularly suitable for describing target area distributions that may exhibit a long tail or even zero values after cropping; when augmentation causes the targets in some samples to nearly disappear, the standard deviation is significantly inflated by outliers, whereas IQR still robustly reflects the dispersion of the main body of samples.
The interquartile range (IQR)-based outlier detection method flags points below Q1-1.5×IQR or above Q3+1.5×IQR as outliers.
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The interquartile range (IQR) is the difference between the third quartile and the first quartile, i.e., the span of the middle 50% of the data.
50%UnverifiedIQR is insensitive to extreme values and is particularly suitable for describing target area distributions that may exhibit a long tail or even zero values after cropping; when augmentation causes the targets in some samples to nearly disappear, the standard deviation is significantly inflated by outliers, whereas IQR still robustly reflects the dispersion of the main body of samples.
50%UnverifiedThe interquartile range (IQR)-based outlier detection method flags points below Q1-1.5×IQR or above Q3+1.5×IQR as outliers.
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