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  2. Worksheet - Wikipedia

    en.wikipedia.org/wiki/Worksheet

    The form comes with two worksheets, one to calculate exemptions, and another to calculate the effects of other income (second job, spouse's job). The bottom number in each worksheet is used to fill out two if the lines in the main W4 form. The main form is filed with the employer, and the worksheets are discarded or held by the employee.

  3. Real tree - Wikipedia

    en.wikipedia.org/wiki/Real_tree

    A triangle in a real tree. A metric space is a real tree if it is a geodesic space where every triangle is a tripod. That is, for every three points ,, there exists a point = such that the geodesic segments [,], [,] intersect in the segment [,] and also [,].

  4. Calkin–Wilf tree - Wikipedia

    en.wikipedia.org/wiki/Calkin–Wilf_tree

    In number theory, the Calkin–Wilf tree is a tree in which the vertices correspond one-to-one to the positive rational numbers.The tree is rooted at the number 1, and any rational number q expressed in simplest terms as the fraction ⁠ a / b ⁠ has as its two children the numbers ⁠ 1 / 1+1/q ⁠ = ⁠ a / a + b ⁠ and q + 1 = ⁠ a + b / b ⁠.

  5. Tree of primitive Pythagorean triples - Wikipedia

    en.wikipedia.org/wiki/Tree_of_primitive...

    To find the primitive Pythagorean triple associated with any such value t, compute (1 − t 2, 2t, 1 + t 2) and multiply all three values by the least common multiple of their denominators. (Alternatively, write t = n / m as a fraction in lowest terms and use the formulas from the previous section.)

  6. Tree (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Tree_(graph_theory)

    In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. [1] A forest is an undirected graph in which any two vertices are connected by at most one path, or equivalently an acyclic undirected graph, or equivalently a disjoint union of trees.

  7. Random forest - Wikipedia

    en.wikipedia.org/wiki/Random_forest

    As with ordinary random forests, they are an ensemble of individual trees, but there are two main differences: (1) each tree is trained using the whole learning sample (rather than a bootstrap sample), and (2) the top-down splitting is randomized: for each feature under consideration, a number of random cut-points are selected, instead of ...