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Naïve Bayes
Naïve Bayes Description Naïve Bayes is a family of classification algorithms based on the Bayes Theorem. All algorithms in the family share a common principle that the pair of features being classified are mutually independent. Why to use To classify ...
Lookup for Categorical Variables
The fuzzy lookup is based on the fuzzy logic in mathematics. It is supported only for categorical variables. Methods There are three methods for this feature: Threshold Matching: It compares the string values based on fuzzy logic and calculates a ...
Rubiscape Winter '19
New Features Platform & Studio New dataset creation feature for Twitter, PostgresSQL, SQL, MySQL, Oracle, Excel, CSV, Google News. Create dataset from a local TXT file using delimiter option. Supported delimiters are Semicolon, Pipe, Comma, Tab, ...
Rubiscape Spring '23
New Features Studio Rubiscape Desktop All your favorite Rubiscape features, functions, and powerful dashboarding capabilities are now available in Rubiscape Desktop for Windows. With a completely new setup wizard, you can now customize your ...
Statistical Concepts
Accuracy Accuracy (of classification) of a predictive model is the ratio of the total number of correct predictions made by the model to the total predictions made. Thus, Accuracy = (TP + TN) / (TP + TN + FP + FN) Where, TP, TN, FP, and FN indicate ...