Supervised Machine Learning, Evaluating Performance Classification Concepts

Supervised learning altorithms are trained using labeled examples, such as an input where the desire output is known. Data Acquisition -> Data Cleaning : clean and format (using Pandas) -> Test Data / Training Data -> Model Training & Building -> Model Testing : run the test data, compare, adjust model parameters -> Model Deployment Data often splits into 3 sets instead of 2 Training Data : used to train model parameters Validation Data : used to determine what model hyperparameters to adjust Te...

원문링크 : Supervised Machine Learning, Evaluating Performance Classification Concepts