Machine learning combines the predictions from several models. It is helpful when several different models are used in the same project. True False QUESTION 22 Algorithms are typically computer-based recipes or methods with which data mining models are developed True False QUESTION 23 Bagging is a term for the use of voting and averaging in predictive data mining to synthesize the predictions from many models or methods or the use of the same type of a model on different data. True False QUESTION 24 Boosting is what the term implies-a means of increasing the power of the models generated by weighting the combinations of predictions from those models into a predicted classification. True False QUESTION 25 Data mining is concerned with extracting what is needed, and it applies statistics so that organizations can gain an advantage by manipulating information for practical applications True False