I have a matrix and a vector, each of which contains 3000 rows:
fe = [-0.1850 -0.4485; ... -0.2150 2.6302; ... -0.2081 1.5883; ... -0.6416 -1.1924; ... -0.1188 1.3429; ... -0.2326 -2.2737; ... -0.0799 1.4821; ... ... %
I would like to separate the lines fe and tar so that 2/3 of them are placed in one set of variables, and the remaining 1/3 are placed in the second set of variables. This is done for classification purposes (i.e., one set is training data, and the other is test data).
There are two possible ways to do this:
- Separate the rows in order, with the first 2/3 in one matrix and the last 1/3 in another.
- Randomly select and distribute 2/3 rows in one matrix and place the remainder in another.
How can I implement each of these solutions?
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