beslutsstigar
Beslutsstigar, also known as decision trees, are a popular tool in data science and machine learning for both classification and regression tasks. They are a type of supervised learning algorithm that operates by recursively partitioning the data into subsets based on the value of input features. Each internal node in the tree represents a decision based on a feature, while each branch represents the outcome of that decision. The leaf nodes represent the final outcomes or predictions.
Decision trees are intuitive and easy to interpret, making them a valuable tool for understanding the underlying
The construction of a decision tree involves selecting the best feature to split the data at each
In summary, beslutsstigar are versatile and interpretable models that are widely used in various applications, from