matlab LGB算法代码

由于没有具体的数据集和问题描述，这里提供一个简单的LGB分类算法的示例代码：

% 加载数据集
load('data.mat');
X = data(:, 1:end-1);
y = data(:, end);

% 划分训练集和测试集
idx = randperm(size(X, 1));
train_idx = idx(1:round(end*0.8));
test_idx = idx(round(end*0.8)+1:end);
X_train = X(train_idx, :);
y_train = y(train_idx);
X_test = X(test_idx, :);
y_test = y(test_idx);

% 定义参数
params = struct();
params.boosting_type = 'gbdt';
params.num_trees = 100;
params.learning_rate = 0.1;
params.max_depth = 5;
params.num_leaves = 31;
params.regularization = 0.1;
params.min_data_in_leaf = 20;
params.feature_fraction = 0.8;
params.bagging_fraction = 0.8;

% 训练模型
model = lgbTrain(X_train, y_train, params);

% 预测
y_pred = lgbPredict(model, X_test);

% 评估
accuracy = sum(y_pred == y_test) / length(y_test);
fprintf('Accuracy: %f\n', accuracy);