In this task, you are expected to train a Machine Learning model that classifies a given line as belonging to one of the following 12 novels:
You are provided with a zip file containing three text files - [login to view URL], [login to view URL], xtest.txt. Each line in [login to view URL] and [login to view URL] comes from a different novel. The data has been obfuscated, however, the patterns in them are preserved. The novel ids corresponding to [login to view URL] are specified in ytrain.txt. You can use these labels to train a Machine Learning model (Deep Learning preferred).
With the learned model, predict the novel ids of the lines in [login to view URL] (one prediction per line). As part of your submission, include
a) your predictions in a file named [login to view URL] (in the same format as [login to view URL])
b) Expected accuracy on the test set
c) the source code for training and prediction (< 10MB)
d) a brief description of your method (optional)