/Personalized-Medicine-Redefining-Cancer-Treatment

Predict the probability of each data-point belonging to each of the nine classes.

Primary LanguageJupyter Notebook

Personalized-Medicine-Redefining-Cancer-Treatment

Objective:

Classify the given genetic variations/mutations based on evidence from text-based clinical literature.

Source: https://www.kaggle.com/c/msk-redefining-cancer-treatment#evaluation

We have two data files: one conatins the information about the genetic mutations and the other contains the clinical evidence (text) that human experts/pathologists use to classify the genetic mutations.

Type of Machine Learning Problem

There are nine different classes a genetic mutation can be classified into => Multi class classification problem

Performance Metric

Source: https://www.kaggle.com/c/msk-redefining-cancer-treatment#evaluation

Metric(s):

  • Multi class log-loss
  • Confusion matrix