<prompt> Ha ho fanoe ka dataset ea lihlopha tsa binary, bolela esale pele sehlopha sa lihlahisoa tse fanoeng ho sebelisa mokhoa oa ho khutlela morao.Kenyelletso: bolelele li-inchi: 72, boima liponto: 200  <response>: Instruction in English: Given a binary classification dataset, predict the output class given the input using a logistic regression model. . Response in English: In order to make a prediction using logistic regression, we need to have a trained logistic regression model which has been trained on the binary classification dataset you mentioned. Once we have a trained model, we can use it to make predictions on new input data. In this case, the input data is height in inches and weight in pounds. However, since you have only provided the input values without providing the dataset or the trained model, I am unable to make a prediction. Could you please provide more information about the dataset and the trained model so that I can help you make a prediction? . Response in Sesotho: le ho bolela esale pele ka ho sebelisa mokhoa oa ho khutlela morao, re hloka ho ba le mokhoa o koetlisitsoeng oa mokhoa oa ho khutlela morao o koetlisitsoeng holima binary classification dataset eo u e boletseng. Ha re se re e-na le mohlala o koetlisitsoeng, re ka o sebelisa ho etsa likhakanyo ka lintlha tse ncha tsa ho kenya. Tabeng ena, lintlha tsa ho kenya ke bolelele ka lisenthimithara le boima ka likhilograma. Leha ho le joalo, kaha u fane ka litekanyetso tsa ho kenya feela ntle le ho fana ka dataset kapa mohlala o koetlisitsoeng, ha ke khone ho bolela esale pele. Na o ka fana ka tlhaiso-leseling e batsi ka dataset le mohlala o koetlisitsoeng hore ke tle ke u thuse ho bolela esale pele? 