Please answer the whole whing correctly and I will give you thumbs up

1. Predictive modeling attempts to answer questions such as: Who's likely to respond to a campaign? How much do first-time purchasers usually spend? Which customers are likely to default? True False 1. Predictive analytics techniques can be categorize into supervised (directed) or unsupervised (undirected learning techniques. True False 1. The six main tasks of predictive analytics are: Discovery, Classification, Estimation, Clustering Association, and Prediction True False 1. Data mining is just a different name for statistics. True False 1. SEMMA is a systematic approach to the model development and evaluation phase and was developed by SAS Institute. True False is a category of data-mining techniques in which an algorithm learns how to predict or classify an outcome variable of interest. Supervised learning Unsupervised learning Dimension reduction Data sampling methods do not attempt to predict an output value but are rather used to detect patterns and relationships in the data. Supervised learning Machine learning Artificial intelligence Unsupervised learning The process of reducing the number of variables to consider in a data-mining approach without losing any crucial information is termed as. dimension reduction data sampling data reduction aggregation 1. Which of the following is true of unsupervised learning? its objective is to predict the outcome of a variable. Its error tolerance is tightly controlled by accuracy measures. Qualitative assessments are used to confirm the definite accuracy measures. It detects patterns and relationships in the data. The data preparation technique used in market segmentation to divide consumers into different homogeneous groups is data visualization cluster analysis market analysis supervised learning