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Accuracy Balanced Accuracy Log Loss AUC Model XG Boost 83% Random Forest 77% Logistic Regression 74% Decision Tree 72% 76% 0.41 0.87 63% 0.47 0.81
Accuracy Balanced Accuracy Log Loss AUC Model XG Boost 83% Random Forest 77% Logistic Regression 74% Decision Tree 72% 76% 0.41 0.87 63% 0.47 0.81 64% 0.65 0.65 66% 1.63 0.6 Based on Log Loss only, which model will you chose for classification XG Boost Random Forest Logistic Regression Decision Tree
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Managerial Accounting Strayer University
Authors: Strayer University
3rd Custom Edition
0077234804, 978-0077234805
