Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...

The Data Science Lab Multi-Class Classification Using a scikit Decision Tree Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

The two decision tree models used the change of methadone dosage and the VAS score for opioid desire as response variables, respectively, and the evaluation criteria were positive effect (decreased by ...

By comprehensively using the decision tree model and Kendall correlation analysis and other methods, using Python and SPSS software to preprocess the data and realize the model, it can obtain a ...

Training dataset characteristics can have an important impact on the performance of the classification models. One of the major characteristics of the training data that affects the accuracy of a ...