Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques

Bioactive Molecule Prediction Using Extreme Gradient Boosting.

Following the explosive growth in chemical and biological data, the shift from traditional methods of drug discovery to computer-aided means has made data mining and machine learning methods integral parts of today's drug discovery process. In this paper, extreme gradient boosting (Xgboost), which is an ensemble of Classification and Regression Tree (CART) and a variant of the Gradient Boosting...

Prediction of post-synaptic activity in proteins using recursive feature elimination

McRank: Learning to Rank Using Multiple Classification and Gradient Boosting

Abstract We cast the ranking problem as (1) multiple classification (“Mc”) (2) multiple ordinal classification, which lead to computationally tractable learning algorithms for relevance ranking in Web search. We consider the DCG criterion (discounted cumulative gain), a standard quality measure in information retrieval. Our approach is motivated by the fact that perfect classifications result i...

Feature Extraction Techniques Using Support Vector Machines in Disease Prediction

Data mining process is becoming important in healthcare industry due to very large volume of data produced and collected by them on daily basis. Support Vector Machine is the most commonly used classification algorithm for disease prediction in healthcare industry. It is widely used to predict the disease like diabetes, breast cancer, lung cancer, heart disease etc. It is advantageous to reduce...

Twin Boosting: improved feature selection and prediction

We propose Twin Boosting which has much better feature selection behavior than boosting, particularly with respect to reducing the number of false positives (falsely selected features). In addition, for cases with a few important effective and many noise features, Twin Boosting also substantially improves the predictive accuracy of boosting. Twin Boosting is as general and generic as boosting. ...