Astrology: The Study of Astro Teller
نویسندگان
چکیده
In this paper, we describe how we address the ICML 2004 Physiological Data Modeling Contest. For the gender prediction task, we employ 5 off-the-shelf machine learning methods: decision tree, neural networks, naive bayes, logistic regression, and Support Vector Machines. We use neural networks for the context prediction tasks. Most of the methods perform reasonably well, acknowledging the success of machine learning as a field. Moreover, we point out that characteristic attributes are highly correlated to the gender in the training data. Hence we argue if using characteristics for the gender prediction will generalize well.
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