multiclass classification

-the one that called one-vs-all classification algorithm
classification with more than two groups

either starting from index 0 or 1 doesn't matter..

the defined algorithms earlier is to compute the binary by using logistic regression...
using one vs all algorithm for solving multiclass classification.

the algorithm is essentially make two groups, with each class again the rest...and take each hypothesis(that denotes by superscript) for each class

then every h is trained to predict the probability
the i which has the highest probability (highest confident that predict y) will picked as the basis classifier.
so for every x, whichever most believe (most confident) will get y = i for the corresponding x
so this algorithm is benefit for multiclass classification