Match the classification definitions to the appropriate classification terminology:

$1.$ Technique used to mark the location of the split between one class or another. $2.$ A set of data used to assess the degree and strength of a predicted relationship established by the training data. $3.$ A modeling error when the derived model poorly fits a limited set of data points. $4.$ Existing data that have been manually evaluated and assigned a class. $5.$ A discriminating classifier that is defined by a separating hyperplane that works to find the widest margin $($or biggest pipe$).6.$ Tool used to divide data into smaller groups. $7.$ A modeling error when the derived model too closely fits a limited set of data points.