Table 1 A decision table containing n instances
From: Big data decision tree for continuous-valued attributes based on unbalanced cut points
\(\varvec{x}\) | \(a_{1}\) | \(\cdots\) | \(a_{j}\) | \(\cdots\) | \(a_{d}\) | y |
|---|---|---|---|---|---|---|
\(\varvec{x}_1\) | \(x_{11}\) | \(\cdots\) | \(x_{1j}\) | \(\cdots\) | \(x_{1d}\) | \(y_{1}\) |
\(\varvec{x}_2\) | \(x_{21}\) | \(\cdots\) | \(x_{2j}\) | \(\cdots\) | \(x_{2d}\) | \(y_{2}\) |
\(\vdots\) | \(\vdots\) | \(\vdots\) | \(\vdots\) | \(\vdots\) | \(\vdots\) | \(\vdots\) |
\(\varvec{x}_n\) | \(x_{n1}\) | \(\cdots\) | \(x_{nj}\) | \(\cdots\) | \(x_{nd}\) | \(y_{n}\) |