Skip to content

Latest commit

 

History

History
11 lines (9 loc) · 458 Bytes

File metadata and controls

11 lines (9 loc) · 458 Bytes

Stock-Market-Prediction-using-Numerical-and-Textual-Analysis Stock Market Prediction of S&P BSE Sensex using Numerical and Textual Analysis Implemented five models and following results were observed:

  • RandomForest = 0.05257968397499098
  • DecisionTree = 0.10831900809236311
  • AdaBoost = 0.05492347045438241
  • LightGBM = 0.0583079056070462
  • XGBoost = 0.05968830860645931

Hence it can be observed that Random Forest Regressor outperforms other models.