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Graphical representation of data in a matrix form in which the cells are colored according to the value of the data they contain.

High dimensionality

Condition in which the learning problem contains a high number of input variables.

High-throughput sequencing

This is also called next-generation or massive sequencing and is a method used to simultaneously sequence thousands to millions of different DNA fragments.

Hold-out or Retention

Validation or partitioning technique by which the training and test sets are divided into two unique disjointed sets.


A multi-dimensional plane representing a decision boundary for the classification of samples. Samples (or data points) on either side of the hyperplane will be predicted as distinct classes.