Evaluation Measures for Classification Problems In data mining classification involves the problem of predicting which category or class a new observation belongs in The derived model classifier is based on the analysis of a set of training data where each data is given a class label The trained model classifier is then used to predict
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Get PriceMay 17 2022What are the steps involved in Data Mining Classification Step 1 Training/Learning Phase Step 2 Classification Phase 6 Best Classifiers for Mining Data/Data Mining Linear Regression Logistic Regression Random Forest Naive Bayes Decision Tree What are the Advantages of Data Mining Classification
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Get PriceClassification is a data mining technique that predicts categorical class labels while prediction models continuous valued functions For example a classification model may be built to categorize credit card transactions as either real or fake while the prediction model may be built to predict the expenditures of potential customers on furniture equipment given their income and occupation
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