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Speed dating matrix

Kelly Rohrbach

rating 2

22 years old

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A Process for Classification Classification in 6 steps We followed the following approach to proceed with classification as explained in class but we added Machine Learning method i. Random Forests Create an estimation sample and two validation samples by splitting the data into three groups. Steps below will then be performed only on the estimation and the first validation data. Set up the dependent variable as a categorical variable; multi-class classification is also feasible, and similar, but we do not explore it in this note. Make a preliminary assessment of the relative importance of the explanatory variables using visualization tools and simple descriptive statistics. Estimate the classification model using the estimation data, and interpret the results. Assess the accuracy of classification in the first validation sample, possibly repeating steps a few times in different ways to increase performance. Finally, assess the accuracy of classification in the second validation sample.

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