Decision list

Decision lists are a representation for Boolean functions which can be easily learnable from examples.^[1] Single term decision lists are more expressive than disjunctions and conjunctions; however, 1-term decision lists are less expressive than the general disjunctive normal form and the conjunctive normal form.

The language specified by a k-length decision list includes as a subset the language specified by a k-depth decision tree.

Learning decision lists can be used for attribute efficient learning.^[2]

A decision list (DL) of length r is of the form:

if f1 then 
    output b1
else if f2 then
    output b2
...
else if fr then
    output br

where f_i is the ith formula and b_i is the ith boolean for ${\displaystyle i\in \{1...r\}}$. The last if-then-else is the default case, which means formula f_r is always equal to true. A k-DL is a decision list where all of formulas have at most k terms. Sometimes "decision list" is used to refer to a 1-DL, where all of the formulas are either a variable or its negation.

• Decision stump

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