<prompt> Bolela li-algorithms tse tharo tsa lihlopha.nan  <response>: Instruction in English: Name three classification algorithms. . Response in English: 1. Decision Tree: This algorithm uses a tree-like representation to create a model, where the internal nodes represent different features, edges are the conditions on the corresponding features, and the leaf nodes are the final outcomes or class labels.2. Logistic Regression: This is a widely used statistical method that models the probability of a binary response variable by fitting a regression equation. It uses the sigmoid function to map the predicted values to probabilities between 0 and 1.3. Naive Bayes: This is a probabilistic classifier that applies Bayes theorem in order to make predictions on new data instances. It assumes that the features are statistically independent of each other and estimates class probabilities based on the frequency of the features in each class. . Response in Sesotho: 1. Sefate sa Qeto: Algorithm ena e sebelisa setšoantšo se kang sefate ho etsa mohlala, moo li-node tsa ka hare li emelang likarolo tse fapaneng, metse ke maemo a likarolo tse lumellanang, me likhahla tsa makhasi ke liphello tsa ho qetela kapa mangolo a sehlopha. 2. Logistic Regression: Ona ke mokhoa o sebelisoang haholo oa lipalo-palo o etsang mohlala oa monyetla oa phetoho ea karabo ea binary ka ho kenya equation ea regression. E sebelisa mokhoa oa sigmoid ho etsa mapa oa boleng bo boletsoeng esale pele ho ea ho menyetla e lipakeng tsa 0 le 1. 3. Naive Bayes: Ena ke sehlopha sa probabilistic classifier se sebelisang theorem ea Bayes e le ho etsa likhakanyo maemong a macha a data. E nka hore likarolo li ikemetse ho latela lipalo-palo me e hakanya menyetla ea sehlopha ho ipapisitsoe le makhetlo a likarolo sehlopheng ka seng. 