A new study published in Psychiatry Research suggests that while large language models are capable of identifying psychiatric ...

The demo program loads a 200-item set training data and a 40-item set of test data into memory. Next, the demo creates and trains a decision tree model using the DecisionTreeClassifier class from the ...

Decision tree regression is a machine learning technique . To predict the output y for an input vector X, the tree structure encodes a set of if-then rules such as, "If the value of X at index [2] is ...