Inference: CFS 2017

CFS 2017 is a commodity flow survey for 2017. It gathered by US government to understand the flow of goods in the US. The data is available in the form of a database. The database contains information about the origin and destination of goods, the mode of transportation, and the value of goods. The data is used by policymakers, researchers, and businesses to make informed decisions about the flow of goods in the US. The data is also used to analyze trends in the flow of goods and to identify areas where improvements can be made. The aim for this inference is to predict the price of goods based on the available information.

We provide several models that you can choose from. The model will predict the price of goods based on the available information. Different model have different input. Some require more comperhensive information before inferencing. We provide the metadata of the model. The accuracy of the model, how many data it trained, the means of inference and the average inference time.