House price prediction method with variable selection capability

The invention provides a house price prediction method with variable selection capability, and belongs to the technical field of house price prediction based on a computer model. The problem that an existing house price prediction method lacks variable selection capacity is solved. Comprising the following steps: house data collection: acquiring house transaction information and house characteristics of each community in a given range to form a data set; house data arrangement and standardization processing: arranging the collected house data; dividing the data set into a feature data set X and a house price data set Y, and performing standardization processing; constructing a regression model based on quantiles: constructing a robust regression model suitable for an abnormal point, and adding a regularization item so as to restrain a regression coefficient; training the model: training the constructed model by using the sorted house data, estimating a regression coefficient, and determining a house character