如何在 r 中使用随机森林构建“trainX、trainY 和 testX”？

Question

我想使用随机森林进行多变量预测。 当尝试build_forest_predict(trainX, trainY, n_tree, m_feature, min_leaf, testX)

我无法构建（trainX、trainY 和 testX）你能帮我吗？ 这是我的数据：

structure(list(X1 = c(51L, 59L, 55L, 64L, 64L, 65L, 65L, 66L, 
62L, 63L, 62L, 64L, 61L, 40L, 63L, 64L, 56L, 64L, 66L, 63L), 
    X2 = c(12, 30.5, 7.5, 65, 73, 77, 80, 75, 64.5, 75.5, 72, 
    68, 71, 5, 53, 65.5, 7.5, 55, 75.5, 56), X3 = c(1.3, 1.8, 
    0.9, 4.3, 5.7, 5.1, 6.1, 5.9, 5.3, 5.4, 5.2, 4.5, 4.5, 0.8, 
    4, 4.6, 1, 4, 6.4, 5.8), X4 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), Y1 = c(59L, 55L, 64L, 64L, 
    65L, 65L, 66L, 62L, 63L, 62L, 64L, 61L, 40L, 63L, 64L, 56L, 
    64L, 66L, 63L, 64L), Y2 = c(55L, 64L, 64L, 65L, 65L, 66L, 
    62L, 63L, 62L, 64L, 61L, 40L, 63L, 64L, 56L, 64L, 66L, 63L, 
    64L, 65L), Y3 = c(64L, 64L, 65L, 65L, 66L, 62L, 63L, 62L, 
    64L, 61L, 40L, 63L, 64L, 56L, 64L, 66L, 63L, 64L, 65L, 64L
    )), row.names = c(NA, 20L), class = "data.frame")