It depends on what type of data you are looking at, as well as the context in which the data is being used. Generally speaking, a variance that is too high indicates that the data is spread out too widely (i.e. too much variation in the data), which could lead to inaccurate predictions or conclusions. A good rule of thumb is to keep the variance below about 20%, although this can vary depending on the type of data and the use case.

What is considered a high variance?

Variance is a measure of how spread out a set of data points is from the mean. A high variance indicates that the data points are far from the mean and spread out over a large range of values. The higher the variance, the more spread out the data points are.

How much variance is high or low?

Variance is a measure of how much a dataset varies from its mean. If a dataset has a high variance, it means that the values in the dataset are spread out over a wide range. In contrast, a dataset with a low variance is one where the values are clustered close together around the mean.