Predict the First Inning score of an Indian Premier League (IPL) Match using machine learning algorithms.
The dataset can be downloaded from Kaggle here.
• mid: Unique match id.
• date: Date on which the match was played.
• venue: Stadium where match was played.
• battingteam: Batting team name.
• bowlingteam: Bowling team name.
• batsman: Batsman who faced that particular ball.
• bowler: Bowler who bowled that particular ball.
• runs: Runs scored by team till that point of instance.
• wickets: Number of Wickets fallen of the team till that point of instance.
• overs: Number of Overs bowled till that point of instance.
• runslast5: Runs scored in previous 5 overs.
• wicketslast5: Number of Wickets that fell in previous 5 overs.
• striker: max(runs scored by striker, runs scored by non-striker).
• non-striker: min(runs scored by striker, runs scored by non-striker).
• total: Total runs scored by batting team at the end of first innings.
- Decision Tree Regressor
- Linear Regression
- Random Forest Regression
- Lasso Regression
- Support Vector Machine Regression
- Neural Network Regression