In this work, a basic approach is presented, to how to build, debug and fine tune a machine learning model to cancer progression

Here is the result

Link - Click to see the results

Parts covered :

• Data cleansing
• Classifier Design
• Hyperparameter fine tuning
• Classifier statics: confusion matrix, precision, recall