In this paper, we describe the system we built for Task 11 of SemEval2015, which aims at identifying the sentiment intensity of figurative language in tweets. We use various features, including those specially concerned with the identification of irony and sarcasm. The features are evaluated through a decision tree regression model and a support vector regression model. The experiment result of...

Regression trees are tree-based models used to solve those prediction problems in which the response variable is numeric. They differ from the better-known classification or decision trees only in that they have a numeric value rather than a class label associated with the leaves. Model trees are an extension of regression trees in the sense that they associate leaves with multivariate linear m...

The study was done to predict egg weight from the external traits of Guinea fowl using statistical methods multiple linear regression (MLR) and tree analysis (RTA). A total 110 eggs a flock 23-week-old were evaluated. Egg (EW) traits: eggshell (ESW), polar diameter (EPD), equatorial (EED), shape index (ESI), surface area (ESA) measured. Descriptive statistics, Pearson correlation coefficients, ...