Prediction of Robot Index Based on AdaBoost

Since the emergence of human beings, people have hoped that robots can take the place of people's work. The development of robots has always affected people's life and productivity, and the performance of robots in the stock market index reflects the development and use of robots. In order to predict the stock market index of robots, this paper proposes a decision tree based AdaBoost regression model to predict the robot index. First, prepare the historical data to be used, make a simple analysis and split it into training set and test set; Then, the features of date, open, high, low, close and volume waiting for analysis are observed visually; Then the AdaBoost regression algorithm model is used to train the training set data modeling, and the best fitting prediction curve is obtained; Finally, the test set is used to predict the new data value. After many times of training and testing, the scheme can achieve good prediction results.