Classification

Classification

Notes:

  • The Reader (Dataset) should be connected to the algorithm.
  • Missing values should not be present in any rows or columns of the reader. To find out missing values in a data, use Descriptive Statistics. Refer to Descriptive Statistics.
  • If missing values are present, impute them using Missing Value Imputation on the dataset. It is under Model Studio, in Data Preparation. Refer to Missing Value Imputation.
  • The dependent or output variable must be a discrete data type.

List of Classification Algorithms

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