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Logit Regression Test - Machine Learning

Angel Intriago 17 perguntas

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Perguntas do quiz (17)

1Logit uses a reference line as relation between dependent & independents
1. AVerdadeiro
2. BFalso
2An Exp(B) value (eB) of 0.80 for a significant variable means the dependent variable will increase an 80% with one unit change on the independent variable (holding the other fixed)
1. AVerdadeiro
2. BFalso
3Specificity is something we would want it low in our model
1. AVerdadeiro
2. BFalso
4ROC Curve helps to balance errors from a Logit Regression model
1. AVerdadeiro
2. BFalso
5Stepwise method will select the best variables for the analysis, although some of them will be non-significant
1. AVerdadeiro
2. BFalso
6If we wanted to be more restrictive on our model, we would move to the left in the ROC Curve
1. AVerdadeiro
2. BFalso
7Sensitivity is True Positive rate
1. AVerdadeiro
2. BFalso
8Every dot in the ROC curve is a different model
1. AVerdadeiro
2. BFalso
9Logit Regression minimum sample size is approx. 20 to 25 degrees of freedom
1. AVerdadeiro
2. BFalso
10False Positives are 20
1. AVerdadeiro
2. BFalso

Descrição: Informática Quiz sobre Logit Regression Test - Machine Learning, criado por Angel Intriago em 12-12-2021.
Autor: Angel Intriago
Idioma: English
Visualizações: 6
Etiquetas: informática
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