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Table 2 Gradient boosting hyper-parameters chosen by grid search for each model

From: Prediction of plant lncRNA by ensemble machine learning classifiers

GB Model # Learning rate Maxdepth Subsample n estimators
1 0.04 10 0.6 100
2 0.04 10 0.6 100
3 0.04 10 0.6 100
4 0.02 8 0.6 100
5 0.02 10 0.6 100
6 0.02 10 0.6 100
7 0.04 10 0.6 100
8 0.04 10 0.6 100
  1. Hyper-parameters were chosen by grid search using 30 iterations of 4-fold nested cross validation. The given hyper-parameters corresponded to models with the highest accuracy values of all given hyper-parameter combinations