A machine learning engineer is converting a decision tree from sklearn to Spark ML. They notice that they are receiving different results despite all of their data and manually specified hyperparameter values being identical.Which of the following describes a reason that the single-node sklearn decision tree and the Spark ML decision tree can differ?
