Correlation algorithms

Use correlation algorithms to decide whether there is any correlation between the data from two columns. The resulted correlation coefficient can have values between -1 and 1. A value closer to 1 indicates a strong positive linear correlation. A value around 0 indicates no correlation. A value close to -1 indicates a strong negative linear correlation.

The following algorithms are available:

• MLLIB.PEARSONCOR(columns)
• MLLIB.SPEARMANCOR(columns)

The SCRIPT function can be used to run your custom algorithm based on the available AI connection. For details, see Add script calculations.