How to normalize data to 0-1 range?I am lost in normalizing, could anyone guide me please. I have a minimum and maximum values, say -23.89 and 7.54990767, respectively. If I get a value of 5.6878 how can I scale this value on a scale of 0 to 1.
Why only three partitions? (training, validation, test)
When you are trying to fit models to a large dataset, the common advice is to partition the data into three parts: the training, validation, and test dataset. This is because the models usually have three "levels" of parameters: the first "parameter" is the model class (e.g. SVM, neural network, random forest), the second set of parameters are the "regularization" parameters or "hyperparameters" (
What is the difference between test set and validation set?
I found this confusing when I use the neural network toolbox in Matlab. It divided the raw data set into three parts: training set validation set test set I notice in many training or learning algorithm, the data is often divided into 2 parts, the training set and the test set. My questions are: what is the difference between validation set and test set? Is the validation set really specific to ne
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