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Data MiningDefine Classification and Prediction in data mining. Describe the concept of Bayesian Classification with a simple example.20257mArtificial intelligenceDefine Artificial Intelligence (AI). Discuss the applications area of AI.20227mMACHINE LEARNINGDescribe the evaluation metrics used in machine learning, such as accuracy, precision, recall, and F1-score, with a numerical example. Explain the importance of cross-validation in estimating a model's generalization performance.20257mData MiningDefine Classification and Prediction. List the major issues in Classification and Prediction.20257m
PreviousIn Bagging, multiple models are trained on (i) The same dataset (ii) Only test data (iii) Random subsets of the training data (iv) Feature-reduced data onlyNextDescribe the evaluation metrics used in machine learning, such as accuracy, precision, recall, and F1-score, with a numerical example. Explain the importance of cross-validation in estimating a model's generalization performance.