which supervised learning technique is best for predicting the relative composition of a sample what is supervisory signal what is supervisory signal r what is supervised signal what is supervisory signal what is supervisory signal of the genotype supervisory signal consists of four dependent continuous values how to create supervisory signal with a classifier in r how to supervised learning approaches can supervised learning be used with genomic data how long is the supervisory signal in r what is supervisory signal which supervised learning technique can accommodate dependent and continuous data? how many continuous variables are in the supervisory signal when is supervisory signal supervised learning what is the supervised signal used for in r what is supervisory signal how are continuous supervised learning approaches used how many continuous variables make up the supervisory signal why is supervisory signal supervised