Prediction Algorithms for Mining Biological Databases
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The paper attempts to understand the efficiency of prediction algorithms on breast cancer data using two kinds of experiments. The experiments are based on categorical data and quantitative data. It attempts to propose a predictive model that can be used to predict the risks of breast cancer. The paper suggests possible ways of improving the efficiency of the predictive model for a given dataset. The study reveals that the efficiency of a mining algorithm is a function of many variables of the dataset. The study proposes a predictive model through a case study.
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