Target Detection - Production data set

Division ratio 1 training and test data sets

Division ratio data set to train: val: test = 7: 2: 1;

2 randomly selected data (upset)

Sklearn used in train_test_split () function;

Tested train_test_split () function (i.e. without explicitly set default parameters, random_state case parameter),

Initialize the random seed is a true random initialization,

Testing process is as follows:

The first test, open Jupyter Lab, using the following code was as follows:

After that, close the browser, close Jupyter Lab process in the terminal;

The second test, open Jupyter Lab, test results are as follows:

Two tests were conducted at different Jupyter Lab of the process and the results generated random division is different,

Thus, train_test_split () function random_state case where the default value is a true random initialization;