Us crime interval data table.
Us crime classic data table genetated from uscrime data.
data(uscrime_int)
An object of class symbolic_tbl (inherits from tbl_df, tbl, data.frame) with 46 rows and 102 columns.
Rodriguez O. (2013). A generalization of Centre and Range method for fitting a linear regression model to symbolic interval data using Ridge Regression, Lasso and Elastic Net methods. The IFCS2013 conference of the International Federation of Classification Societies, Tilburg University Holland.
data(uscrime_int) car.data <- uscrime_int res.cm.lasso <- sym.glm( sym.data = car.data, response = 102, method = "cm", alpha = 1, nfolds = 10, grouped = TRUE ) plot(res.cm.lasso) plot(res.cm.lasso$glmnet.fit, "norm", label = TRUE) plot(res.cm.lasso$glmnet.fit, "lambda", label = TRUE) pred.cm.lasso <- sym.predict(res.cm.lasso, response = 102, car.data) RMSE.L(car.data$ViolentCrimesPerPop, pred.cm.lasso) RMSE.U(car.data$ViolentCrimesPerPop, pred.cm.lasso) R2.L(car.data$ViolentCrimesPerPop, pred.cm.lasso) R2.U(car.data$ViolentCrimesPerPop, pred.cm.lasso) deter.coefficient(car.data$ViolentCrimesPerPop, pred.cm.lasso)
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