2 class logistic regression
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-logistic-regression
used to predict only 2 outcomes
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-logistic-regression
used to predict only 2 outcomes
For Label column, click Launch column selector, and choose a single column that contains outcomes the model can use for training.
- For classification problems, the label column must contain either categorical values or discrete values. Some examples might be a yes/no rating, a disease classification code or name, or an income group. If you pick a noncategorical column, the module will return an error during training.
- For regression problems, the label column must contain numeric data that represents the response variable. Ideally the numeric data represents a continuous scale
for creating web service , all steps need to be run
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