Which of the following statements is false?
A) By default, train_test_split reserves 75% of the data for training and 25% for testing.
B) To specify different splits, you can set the sizes of the testing and training sets with the train_test_split function's keyword arguments test_size and train_size. Use floating-point values from 0.0 through 100.0 to specify the percentages of the data to use for each.
C) You can use integer values to set the precise numbers of samples.
D) If you specify one of the keyword arguments test_size and train_size, the other is inferred-for example, the statement X_train, X_test, y_train, y_test = train_test_split(
Digits.data, digits.target, random_state=11, test_size=0.20)
Specifies that 20% of the data is for testing, so train_size is inferred to be 0.80.

Question

Quizplus · Accepted Answer

The false statement is B because when specifying the sizes of the testing and training sets with the `train_test_split` function's keyword arguments `test_size` and `train_size`, you should use floating-point values between 0.0 and 1.0 to represent the proportion of the data, not 0.0 through 100.0.

Which of the Following Statements Is False