linearly separable

Two sets of data are linearly separable if there is a straight line (or hyperplane in higher dimensions) that separates them. In other words there is a linear combination (a_i) of the features and a threshold T such that fp
      a₁d₁ + a₂d₂ + ... + a_nd_n is less than T for data items (d_i) in the first datasets and greater than T for the second
In such cases, the hyperplane acts as a {[classifier}}.

Used on pages 111, 135

Also known as linear separability