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Learning activity 6 Learn the required content of this unit, and conduct your re
Home » Business and Management  »  Learning activity 6 Learn the required content of this unit, and conduct your re
Learning activity 6 Learn the required content of this unit, and conduct your re
Learning activity 6 Learn the required content of this unit, and conduct your research to answer the following questions in this discussion forum: Describe how the confusion matrix is used for model evaluation. Describe the definition of accuracy, precision, recall, sensitivity, specificity, True positive rate, False positive rate. Synthesize real-life examples where you would rely on each one of these measures to evaluate prediction, or classification, performance of your model. What is a Lift chart? Explain in what situations you would use it? What is ROC chart? Explain in what situations you would use it? Videos Topic Access Confusion Matrix (7 min) https://www.youtube.com/watch?v=Kdsp6soqA7o Train, Test, & Validation Data Sets (7 min) https://www.youtube.com/watch?v=Zi-0rlM4RDs ROC and AUC, Clearly Explained (16 min) https://www.youtube.com/watch?v=4jRBRDbJemM Evaluating Classifiers: Gains and Lift Charts ( 14 min) https://www.youtube.com/watch?v=1dYOcDaDJLY Articles Medium Topic Access Excercise Understanding Confusion Matrix in R https://www.datacamp.com/community/tutorials/confusion-matrix-calculation-r Exercise with Answer Model Evaluation https://www.r-exercises.com/2016/12/02/model-evaluation-exercise-1/ Exercise with Answer Model Evaluation https://www.r-exercises.com/2016/12/22/model-evaluation-2/ Tutorial Lift Charts https://www.ibm.com/support/knowledgecenter/de/SSLVMB_24.0.0/spss/tutorials/mlp_bankloan_outputtype_02.html Tutorial Generate ROC Curve Charts for Print and Interactive Use https://cran.r-project.org/web/packages/plotROC/vignettes/examples.html

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