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Table 4 Parameters and the value range of parameter adjustment

From: Using multi-layer perceptron to identify origins of replication in eukaryotes via informative features

Model

Parameter

Value

SVM

c, g

[2−5, 215] Δ = 2, [2−15, 2−5] Δ = 2–1

Multi-layer perceptron

alpha

0.001, 0.01, 0.1, 0.5, 1, 1.5

Decision tree

min_sample_split, max_depth

[2, 30] Δ = 2, [1, 10] Δ = 1

XGBoost

n_estimators, learning_rate

[10, 1000] Δ = 50, [0.1, 1] Δ = 0.1

  1. Δ represents the step size
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BMC Bioinformatics

ISSN: 1471-2105

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