In Machine Learning, classification problem refers to predictive modeling where a class label needs to be predicted for a given observation (record/data point). For example, based on input features such as weather information (humidity, temperature, cloudy/sunny, wind speed, etc.) …

In Machine Learning, classification problem refers to predictive modeling where a class label needs to be predicted for a given observation (record). While the input data (features) comprise of either continuous or categorical variables, the output is always a categorical variable. For example, based on input features such as weather…