<prompt> Aku nahane u theha mohlala oa ho lemoha litšebelisano tsa lichelete tsa bolotsana. Ke litekanyo life tsa bohlokoa tse lokelang ho lekanyetsoa ha ho hlahlojoa mohlala ona?nan  <response>: Instruction in English: Imagine you are creating a model to detect fraudulent financial transactions. What metrics are important to measure when evaluating this model? . Response in English: When evaluating a model for detecting fraudulent financial transactions, several metrics are important to measure. Some of these include:1. Accuracy: This is the proportion of true positives and true negatives out of all the transactions. It is essential to know how many fraudulent transactions were correctly identified and how many non-fraudulent transactions were correctly labeled.2. Precision: This measures how many of the predicted fraudulent transactions are actually fraudulent. A high precision value means that the model does a good job of minimizing false positives i.e., labeling non-fraudulent transactions as fraudulent.3. Recall: Also known as sensitivity, this measures how many of the actual fraudulent transactions were correctly identified by the model. A high recall value means that the model does a good job of minimizing false negatives i.e., labeling fraudulent transactions as non-fraudulent.4. F1 Score: The F1 score is the harmonic mean of precision and recall, and it gives a single value representing the balance between the two metrics. It is particularly useful when the cost of false positives and false negatives are high or when there is an imbalance between the number of positive and negative samples.5. Area under the receiver operating characteristic curve AUC-ROC: This metric measures the ability of the model to distinguish between fraudulent and non-fraudulent transactions across various decision thresholds.6. Confusion Matrix: This is a table that visualizes the performance of the model by comparing the predicted and actual values. It shows the number of true positives, true negatives, false positives, and false negatives, providing a clear picture of how well the model performs.Overall, its important to choose metrics that reflect the specific needs and priorities of the model, as different use cases may have different requirements for balancing false positives, false negatives, and overall accuracy. . Response in Sesotho: Ha ho hlahlojoa mohlala oa ho lemoha litšebelisano tsa lichelete tsa bomenemene, ho bohlokoa ho lekanya metrics e mengata. Tse ling tsa tsona li kenyelletsa: 1. Nepahalo: Ena ke karolo ea lintho tse ntle le tse mpe tsa nete ho tsoa litšebelisanong tsohle. Ho bohlokoa ho tseba hore na ke litšebelisano tse kae tsa bomenemene tse hloailoeng ka nepo le hore na ho na le litšebelisano tse kae tse seng tsa bomenemene tse ngotsoeng ka nepo. 2. Ho nepahala: Sena se lekanya hore na ke litšebelisano tse kae tsa bomenemene tse boletsoeng esale pele e hlileng e leng tsa bolotsana. Boleng bo phahameng ba ho nepahala bo bolela hore mohlala o etsa mosebetsi o motle oa ho fokotsa maikutlo a fosahetseng ke hore, ho ngola litšebelisano tse sa qhekellang e le tsa bolotsana. 3. Hopola: E boetse e tsejoa e le kutloelo-bohloko, sena se lekanya hore na ho na le litšebelisano tse kae tsa sebele tsa bolotsana tse khethiloeng ka nepo ke mohlala. Boleng bo phahameng ba ho hopola bo bolela hore mohlala o etsa mosebetsi o motle oa ho fokotsa liphoso tse fosahetseng ke hore, ho ngola litšebelisano tsa bolotsana e le tse se nang bolotsana. 4. Lintlha tsa F1: Lintlha tsa F1 ke moelelo o lumellanang oa ho nepahala le ho hopola, me o fana ka boleng bo le bong bo emelang tekanyo pakeng tsa metrics tse peli. E na le thuso ka ho khetheha ha litšenyehelo tsa lintlha tse fosahetseng le tse fosahetseng li phahame kapa ha ho na le ho se leka-lekane pakeng tsa palo ea lisampole tse ntle le tse mpe. 5. Sebaka se tlasa mokelikeli o sebetsang hantle AUC-ROC: Metric ena e lekanya bokhoni ba mohlala oa ho khetholla pakeng tsa litšebelisano tsa bolotsana le tse sa qhekellang ho pholletsa le mekhoa e fapaneng ea liqeto. 6. Matrix a Pherekano: Ena ke tafole e bonang tsebetso ea mohlala ka ho bapisa litekanyetso tse boletsoeng esale pele le tsa sebele. E bontsa palo ea lintho tse ntle tsa nete, tse mpe tsa nete, tse fosahetseng le tse fosahetseng, e fana ka setšoantšo se hlakileng sa hore na mohlala o sebetsa hantle hakae. Ka kakaretso, ho bohlokoa ho khetha litekanyetso tse bontsang litlhoko le lintho tse tlang pele tsa mohlala, kaha maemo a fapaneng a tsebeliso a ka ba le litlhokahalo tse fapaneng bakeng sa ho leka-lekanya lintlha tse fosahetseng, tse fosahetseng, le ho nepahala ka kakaretso. 