<prompt> Fumana mehlala e meli ea mathata a lihlopha tsa binary.nan  <response>: Instruction in English: Find two examples of binary classification problems. . Response in English: 1. Fraud detection: In finance, an example of a binary classification problem is the identification of fraudulent credit card transactions. The algorithm is trained to classify a transaction as either fraudulent or legitimate based on characteristics such as the amount, location, and time of the transaction.2. Email spam filtering: Another example of a binary classification problem is email spam filtering, where an algorithm is trained to identify and sort incoming messages as either spam or not spam. Characteristics such as the emails sender, content, and subject line are used to determine its classification. . Response in Sesotho: 1. Ho lemoha bomenemene: Licheleteng, mohlala oa bothata ba lihlopha tsa binary ke ho tsebahatsa litšebelisano tsa bolotsana tsa likarete tsa mokitlane. Algorithm e koetliselitsoe ho hlophisa khoebo e le ea bomenemene kapa e molaong ho latela litšoaneleho tse kang palo, sebaka le nako ea khoebo. 2. Ho sefa li-spam tsa lengolo-tsoibila: Mohlala o mong oa bothata ba ho khetholla li-binary ke ho sefa li-imeile tsa spam, moo algorithm e koetliselitsoeng ho tseba le ho hlophisa melaetsa e kenang joalo ka spam kapa eseng spam. Litšobotsi tse kang motho ea romelang lengolo-tsoibila, litaba, le sehlooho li sebelisoa ho fumana hore na li arotsoe joang. 