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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