Data Science SAS

Course Content

Total learning: 18 lessons

Part -11

Part-11 Logistic Regression Analysis :

  •  Logistic Regression
  •  Discriminate Regression Analysis
  •  Multiple Discriminant Analysis
  •  Stepwise Discriminant Analysis
  •  Logit function
  •  Test of Associations
  •  Chi-square strength of association
  •  Binary Regression Analysis
  •  Profit and Logit Models
  •  Estimation of probability using logistic regression,
  •  Wald Test statistics for Model
  •  Hosmer Lemshow
  •  Nagurkake R square
  •  Pseudio R square
  •  Maximum likelihood estimation
  •  Model Fit
  •  Model cross validation
  •  Discrimination functions
  •  AIC
  •  BIC (Bayesian information criterion)
  •  Kappa Statistics
  •  AIC
  •  BIC
  •  Error/ Confusion matrices
  •  ROC
  •  APE
  •  MAPE
  •  Lift Curve
  •  Sensitivity
  •  Misclassification Rating
  •  Specificity
  •  Maximum Absolute Error
  •  Recall
  •  Miss classification
  •  Root Final Prediction Error
  •  Gini Coefficient
  •  Schwarz’s Bayesian Criterion
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