Apply the model to the given dataset to predict the probability that the object belongs to the class and calculate the results taking into consideration only the trees in the range [0; i).

The model prediction results will be correct only if the data parameter with feature values contains all the features used in the model. Typically, the order of these features must match the order of the corresponding columns that is provided during the training. But if feature names are provided both during the training and when applying the model, they can be matched by names instead of columns order. Feature names can be specified if the data parameter has one of the following types:
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