is the appropriate regression analysis to conduct when the dependent variable is dichotomous (binary). Like all regression analyses, logistic regression is a predictive analysis.
Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval, or ratio-level independent variables.
Sometimes logistic regressions are difficult to interpret; the Intellectus Statistics tool easily allows you to conduct the analysis, then in plain English interprets the output.
- Sigmoid Rule.
- No.of records in Sms spam Data Set: 2100.
- No.of training records: 2000.
- No.of testing records: 100.
- No .of Epochs: 8.
- Accuracy: 100%.
