harjoitusdatana
Harjoitusdatana, often translated as "training data" in English, refers to the information used to teach a machine learning model. This data is crucial for the model to learn patterns, relationships, and make predictions or decisions. The quality and quantity of harjoitusdatana directly impact the model's performance and accuracy.
The process involves feeding the model a dataset that has been labeled or structured in a way
In unsupervised learning, harjoitusdatana is not explicitly labeled. Instead, the model explores the data to discover
The effectiveness of harjoitusdatana can be assessed through metrics like accuracy, precision, and recall. If a