<prompt> Hlalosa hore na lintlha tsa F1 ke life.Ha ho tlhahiso  <response>: Instruction in English: Explain what is the F1 score. . Response in English: The F1 score is a measure of a models accuracy that considers both precision and recall. It is commonly used in classification problems, particularly in imbalanced datasets, where the proportion of positive and negative instances is skewed. Precision is the ratio of correctly predicted positive instances to the total predicted positive instances. Recall, on the other hand, is the ratio of correctly predicted positive instances to all instances that are actually positive. F1 score is the harmonic mean of precision and recall, calculated as: 2 precision recall precision recall. The F1 score ranges between 0 and 1, with a higher value indicating better performance. It is especially useful when you need to strike a balance between precision and recall, and you want to measure how well a model performs overall. . Response in Sesotho: Lintlha tsa F1 ke tekanyo ea ho nepahala ha mohlala o nahanang ka ho nepahala le ho hopola. E atisa ho sebelisoa mathateng a lihlopha, haholo-holo ho li-dataset tse sa leka-lekaneng, moo karolo ea maemo a matle le a mabe e khelohileng. Precision ke karo-karolelano ea maemo a nepahetseng a boletsoeng esale pele ho kakaretso ea maemo a nepahetseng a boletsoeng esale pele. Hopola, ka lehlakoreng le leng, ke karo-karolelano ea maemo a nepahetseng a boletsoeng esale pele maemong ohle a hlileng a leng ntle. Lintlha tsa F1 ke moelelo oa harmonic oa ho nepahala le ho hopola, ho baloa e le: 2 ho nepahala hopola ho nepahala hopola. Lintlha tsa F1 li pakeng tsa 0 le 1, ka boleng bo holimo bo bontšang tsebetso e ntlafetseng. E bohlokoa haholo ha o hloka ho leka-lekana pakeng tsa ho nepahala le ho hopola, me u batla ho lekanya hore na mohlala o sebetsa hantle hakae ka kakaretso. 