Big data and democratic speech: Predicting deliberative quality using machine learning techniques

Predicting Students' Performance In Distance Learning Using Machine Learning Techniques

The ability to predict a student’s performance could be useful in a great number of different ways associated with university-level distance learning. Students’ key demographic characteristics and their marks on a few written assignments can constitute the training set for a supervised machine learning algorithm. The learning algorithm could then be able to predict the performance of new studen...

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Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Introduction Breast cancer (BC) is the most common cancer in women, affecting about 10% of all women at some stages of their life. In recent years, the incidence rate keeps increasing and data show that the survival rate is 88% after five years from diagnosis and 80% after 10 years from diagnosis [1]. Early prediction of breast cancer is one of the most crucial works in the follow-up process. D...

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Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Introduction Breast cancer (BC) is the most common cancer in women, affecting about 10% of all women at some stages of their life. In recent years, the incidence rate keeps increasing and data show that the survival rate is 88% after five years from diagnosis and 80% after 10 years from diagnosis [1]. Early prediction of breast cancer is one of the most crucial works in the follow-up process. D...

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Predicting Postgraduate Students' Performance Using Machine Learning Techniques

The ability to timely predict the academic performance tendency of postgraduate students is very important in MSc programs and useful for tutors. The scope of this research is to investigate which is the most efficient machine learning technique in predicting the final grade of Ionian University Informatics postgraduate students. Consequently, five academic courses are chosen, each constituting...

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Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Introduction Breast cancer (BC) is the most common cancer in women, affecting about 10% of all women at some stages of their life. In recent years, the incidence rate keeps increasing and data show that the survival rate is 88% after five years from diagnosis and 80% after 10 years from diagnosis [1]. Early prediction of breast cancer is one of the most crucial works in the follow-up process. D...

متن کامل

Big data and democratic speech: Predicting deliberative quality using machine learning techniques

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Predicting Students' Performance In Distance Learning Using Machine Learning Techniques

Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Predicting Postgraduate Students' Performance Using Machine Learning Techniques

Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

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