This Streamlit webapp enables user to predict total runs between teams using current runs and wickets.

Algorithms used:

• Linear Regression
• K-Nearest Neighbor Regressor
• RandomForest Regressor
• Decision Tree Regressor

Hyperparamter Optimization:

Used optuna for paramter optimization.

Dataset:

The dataset comprises of over by over details of matches and runs from 2008 to 2020.

Dataset Used: ipl_data.csv

• mid - match id
• date - when matches are played
• venue - place where matches aew played
• bat_team - batting team
• bowl_team - bowling team
• batsman - batsman
• bowler - bowler
• runs - runs scored
• wickets - wickets
• overs - overs - next 3 are based on this
• run_last_5 - runs scored in last 5 overs
• wicket_last_5 - wickets in last 5 overs
• stricker - batsman playing as main 1
• non-striker - batsman playing as runner up - not main 0
• total - total score (target variable)

Streamlit App