生活中有許多屬於「二元分類」的問題，例如：應該核准或駁回貸款申請？信用

生活中有許多屬於「二元分類」的問題，例如：應該核准或駁回貸款申請？信用卡發卡與否？是否罹患某一疾病？工廠產品是否有瑕疵？涵蓋範圍之廣，跨及各行各業。AI 二元分類器的效能，便可藉由分類（預測）結果與實際情形的差距來評估

結果 (英文) 1:

There are many life issues are "binary classification", for example: should approve or reject the loan application? Credit card or not? Whether suffering from a disease? Does the factory product is defective? Covers the scope, and across all walks of life. AI binary classifier performance, and can by classification (prediction) and the gap between actual results to assess the situation

結果 (英文) 2:

There are many questions in life that belong to the "binary classification", such as: should loan applications be approved or rejected? Does the credit card issue? Do you have a disease? Are factory products defective? Covering a wide range of industries. The effectiveness of the AI binary classifier can be assessed by the gap between the classification (prediction) results and the actual situation

結果 (英文) 3:

There are many "binary classification" problems in life, such as: should loan applications be approved or rejected? Is the credit card issued? Do you have a disease? Is the factory product defective? It covers a wide range of industries. The performance of AI binary classifier can be evaluated by the difference between the result of classification (prediction) and the actual situation