Benchmarking Analysis of the Accuracy of Classification Methods Related to Entropy

. 2021 Jul 1;23(7):850. doi: 10.3390/e23070850

Algorithm 1 Pseudo-code of the algorithm of the intuitive classifier

I

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INPUT:
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S: training data sample with C columns and N rows
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$C - 1$ attributes are the antecedent
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1 class variable is the consequent
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START ALGORITHM
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CRS $\leftarrow ⌀$ {/*initialized as void set*/}
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for each row in S do
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if there exists a rule Rj in $C R S$ such that Antecedent(Rj) = Antecedent(row) and Consequent(Rj) = Consequent(row) then
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for all Ri in $C R S$ such that Antecedent(Ri) = Antecedent(row) do
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Ri.supp ← Ri.supp + 1
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end for
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Rj.conf ← Rj.conf + 1
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else
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R ← New Rule
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R.antecedent ← Antecedent(row)
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R.consequent ← Consequent(row)
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R.supp ← 1
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R.conf ← 1
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for all Ri in $C R S$ such that Antecedent(Ri) = Antecedent(row) do
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Ri.supp ← Ri.supp + 1
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end for
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$C R S$ ← CRS + R {/*add R to $C R S$ */}
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end if
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end for
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return $C R S$ : Classification Rule Set {/*OUTPUT*/}
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END ALGORITHM