Outliers in data are values that are unlike any other values in the series and affect all learning methods to various degrees. These can be extreme values, which could be detected with confidence intervals and removed by using a threshold. The best approach is to visualize the data and inspect the visualization to detect irregularities. An example is shown in the following diagram. Visualization applies to low-dimensional data only: