Basing the Results on Probability
A. Calculation
B. Abstraction
C. Classification
D. Relation
C
You are correct.
Excuse me. I accidentally wrote the incorrect answer. C. is incorrect, kesha.
The correct answer is C. Classification.
In probability, classification involves categorizing outcomes into different classes or categories based on certain criteria. This can be done using various methods such as decision trees, logistic regression, or Naive Bayes classifiers.
To arrive at a classification result based on probability, you would typically need a dataset or set of observations that have been labeled or classified according to their respective outcomes. This dataset is used to train a classification model by learning patterns and relationships between the input data and their corresponding labels.
Once the model is trained, it can then be used to predict/classify new, unseen data based on the probabilities of belonging to each class.
So, in the context of basing results on probability, the most appropriate choice is C. Classification.