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In this paper, we describe our solution to predict student STEM career choices during the 2017 ASSISTments Datamining Competition. We built a machine learning system that automatically reformats the data set, generates new features and prunes redundant ones, and performs model and feature selection. We designed the system to automatically find a model that optimizes prediction performance, yet the final model is a simple logistic regression that allows researchers to discover important features and study their effects on STEM career choices. We also compared our method to other methods, which revealed that the key to good prediction is proper feature enrichment in the beginning stage of the data analysis, while feature selection in a later stage allows a simpler final model., The 1.0.0 version has the wrong PDF

Constant temperature control system is studied in this paper, which is based on AT89S51 produced by ATMEL company as the control core. The characteristic of this system is small volume, low cost, strong function, simple and widely used. The design through the microcontroller control DS18B20 uptake real-time temperature information, the keyboard set temperature, time and state, LCD1602 display method of relevant information, which realizes the design of constant temperature control system based on single chip microcomputer. Finally, experimental results show that the design can realize temperature display, timing system and according to the temperature activate the corresponding functional circuit and other function, which has certain creativity and usability.