Abstract: The present invention provides Systems and Methods for Creating an Optimal Prediction Model and Obtaining Optimal Prediction Results Based on Machine Learning. In the method for creating an optimal prediction model, the steps are first to input a plural training data and at least one of machine learning algorithms, then convert the training data into a relay format. The method is further to select the automated predictive features, optimize the machine learning algorithm parameter, and then optimize the iterative prediction model. After that, a prediction model and an accuracy assessment data are outputted. In the process of obtaining the prediction result, the data to be predicted is converted into a relay format, and an automated program is used for iterative prediction to generate and output the prediction result and accuracy evaluation data.

Abstract: A method of distributed computing, wherein the management system includes a plurality of data temporary storage nodes. The user application connects to a neighboring data temporary storage node and uploads the project data need to be processed. The data temporary storage node publishes the tasks of the project in a blockchain network, examines the project and evaluates the processing work. After the user application approves the proposal of processing fees from the data temporary storage node, the data temporary storage node distributes the data of project tasks to the computing resources undertake the project tasks respectively. The computing resources in the blockchain network connect to the neighboring data temporary storage nodes and undertake project tasks respectively.