Because the decision tree model was trained using normalized and encoded data, the x-input must be normalized and encoded in the same way. Notice the double square brackets on the x-input. The predict ...

For example, oncologists classify ... In the random forests 8 approach, many different decision trees are grown by a randomized tree-building algorithm. The training set is sampled with ...

Decision trees are a simple but powerful prediction method. Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split.