Project: Kaggle competition & implementation of regression and classification algorithms in Python to predict the target variable of two distinct datasets.

REGRESSION TASK

Training data (n=168) & test data (n=43)

Features: 6, target: PRP

• Support Vector Regression (SVR)
• Random Forest Classifier (RFR)

CLASSIFICATION TASK

Training data (n=600) & test data (n=33)

Features: 112, target: EpiOrStroma

• Random Forest Classifier (RFC)
• Extra Trees Classifier (RFE)

Performance Analysis and Metrics

Evaluation