machine learning
testing splitting and training suppose i give a data set of house prices and from that i split it and then train it so i can figure it out what is it accuracy if we give any new number to it can it give a close answer that what this . labels and features Feature : Features are individual independent variables that act as the input in your system. Prediction models use features to make predictions. New features can also be obtained from old features using a method known as ‘feature engineering’. More simply, you can consider one column of your data set to be one feature. Sometimes these are also called attributes . And the number of features are called dimensions . . Label : Labels are the final output. You can also consider the output classes to be the labels. When data scientists speak of labeled data, they mean groups of samples that have been tagged to one or more labels.