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A data scientist develops a predictive model of bankruptcy. The data scientist uses a training set of 800,000 observations and a test set of 200,000
A data scientist develops a predictive model of bankruptcy. The data scientist uses a training set of 800,000 observations and a test set of 200,000 observations. The Logistic Regression model he estimates is of the form: ln (Odds of Bankruptcy) = - 3 2 (Debt Ratio) One of the companies has a Debt Ratio of .75. What is the companies's estimated probability of default
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A First Course in Differential Equations with Modeling Applications
Authors: Dennis G. Zill
10th edition
978-1111827052
