matlab随机生成训练集和测试集
时间: 2023-08-22 13:09:17 浏览: 92
在Matlab中,可以使用randperm函数来随机生成训练集和测试集。引用中给出了一个示例代码,其中data是一个6x6的矩阵,labels是一个6x1的标签向量。通过randperm函数生成一个随机排列的索引n,然后将前4个索引作为训练集的索引,后面的索引作为测试集的索引。通过这些索引可以将原始数据和标签分割成训练集和测试集。具体代码如下:
```matlab
% 初始化数据和标签
data = magic(6);
labels = [1 1 1 2 2 2';
% 随机生成训练集和测试集
n = randperm(size(data, 1));
train_data = data(n(1:4), :);
train_labels = labels(n(1:4), :);
test_data = data(n(4:end), :);
test_labels = labels(n(4:end), :);
```
其中train_data和train_labels是训练集的数据和标签,test_data和test_labels是测试集的数据和标签。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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