Question

In classification analysis, we typically split the data into two mutually exclusive sets, known as ________, to investigate the strength of the developed

A. Training and validation/testing
B. Training and binary
C. Binary and numeric
D. Testing and validation

Answer 1

In classification analysis, data is typically split into training and validation/testing sets to investigate the strength of the developed model.

Step-by-step explanation:

In classification analysis, we typically split the data into two mutually exclusive sets, known as Training and validation/testing, to investigate the strength of the developed model.

Training set is used to train the classification model, where the model learns patterns and relationships in the data. The validation/testing set is used to evaluate the performance of the trained model and to measure its accuracy. This helps to ensure that the model can generalize well to new, unseen data.