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Table 6 Results of the best parameter settings and targets from Bayesian optimization in hyperparameter tuning

From: Use of supervised and unsupervised approaches to make zonal application maps for variable-rate application of crop growth regulators in commercial cotton fields

Number of estimators

Minimum samples split

Minimum samples leaf

Maximum depth

Target mean squared error (MSE)

807

2

1

88

46.9

  1. Number of estimators is the number of trees in the forest; minimum samples split is the minimum number of samples required to split an internal node; minimum samples leaf is the minimum number of samples required to be at a lead node
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Journal of Cotton Research

ISSN: 2523-3254

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