  In this essay, we have comprehensively evaluated the feasibility and
suitability of adopting the Machine Learning Models on the forecast of
corporation fundamentals (i.e. the earnings), where the prediction results of
our method have been thoroughly compared with both analysts' consensus
estimation and traditional statistical models. As a result, our model has
already been proved to be capable of serving as a favorable auxiliary tool for
analysts to conduct better predictions on company fundamentals. Compared with
previous traditional statistical models being widely adopted in the industry
like Logistic Regression, our method has already achieved satisfactory
advancement on both the prediction accuracy and speed. Meanwhile, we are also
confident enough that there are still vast potentialities for this model to
evolve, where we do hope that in the near future, the machine learning model
could generate even better performances compared with professional analysts.
