The application of BP-Adaboost strong classifier to acquire knowledge of student creativity

Combing Adaboost algorithm and BP neural network, a strong classifier was proposed. It was applied to acquire knowledge of student creativity. Williams Creativity Test B (WCTB) and Adolescent Scientific Creativity Scale (ASCS) were used to measure the creative affective (CA) and scientific creativity (SC) for 400 middle school students. The scientific creativity (SC) of these students could be cluster into 5 categories. The BP-Adaboost strong classifier was used to predict the student´s SC from creative affective (CA). The results showed this classifier could acquire knowledge well.