Publications by John Cruz
Trees and Rules
Required Libraries library(tidyverse) library(kableExtra) library(janitor) library(mlbench) library(caret) ## KNN library(latex2exp) library(AppliedPredictiveModeling) library(ggcorrplot) library(randomForest) library(party) library(gbm) library(Cubist) library(rpart) library(partykit) library(ipred) library(rpart.plot) 8.1 Recreate the simulated ...
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Non-Linear Regression
Required Libraries library(tidyverse) library(kableExtra) library(janitor) library(mlbench) library(caret) ## KNN library(latex2exp) library(earth) ## MARS library(AppliedPredictiveModeling) library(ggcorrplot) 7.2 Friedman (1991) introduced several benchmark data sets create by simulation. One of these simulations used the following nonlinear equ...
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Linear Regression
Required Libraries library(tidyverse) library(AppliedPredictiveModeling) library(kableExtra) library(latex2exp) library(caret) library(janitor) library(gridExtra) library(ggcorrplot) 6.2 Developing a model to predict permeability (see Sect. 1.4) could save significant resources for a pharmaceutical company, while at the same time more rapidly iden...
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Crime
Required Libraries library(ggplot2) library(tidyverse) library(knitr) library(ggcorrplot) library(caret) library(ROCR) library(MASS) library(summarytools) library(latex2exp) library(janitor) library(kableExtra) Introduction Our objective is to explore and build a binary logistic regression model on the training data set to predict whether the neig...
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ATM and Power Forecasting
Required Libraries library(fpp3) library(tidyverse) library(kableExtra) library(janitor) library(readxl) library(psych) library(cowplot) library(DescTools) library(latex2exp) Part A – ATM Forecast The goal is to forecast how much cash is taken out of four (4) different ATM machines for May 2010. We are given an Excel formatted spreadsheet contai...
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ARIMA
Required Libraries library(tidyverse) library(fpp3) library(kableExtra) library(cowplot) Problem 9.1 Figure 9.32 shows the ACFs for 36 random numbers, 360 random numbers and 1,000 random numbers. Explain the differences among these figures. Do they all indicate that the data are white noise? The differences among these figures are that the ACF r...
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Exponential Smoothing
Required Libraries library(tidyverse) library(fpp3) library(kableExtra) Problem 8.1 Consider the the number of pigs slaughtered in Victoria, available in the aus_livestock dataset. Use the ETS() function to estimate the equivalent model for simple exponential smoothing. Find the optimal values of \(\alpha\) and \(l_0\), and generate forecasts for...
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Data Pre-Processing
Required Libraries library(tidyverse) library(ggplot2) library(GGally) library(mlbench) library(psych) library(caret) library(missMethods) Problem 3.1 The UC Irvine Machine Learning Repository6 contains a data set related to glass identification. The data consist of 214 glass samples labeled as one of seven class categories. There are nine predict...
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Forecasting
Required Libraries library(fpp3) Problem 5.1 Produce forecasts for the following series using whichever of NAIVE(y), SNAIVE(y) or RW(y ~ drift()) is more appropriate in each case: Australian Population (global_economy) We don’t observe any seasonality, only a strong, positive linear trend. Using the RW() (random walk) drift function would be m...
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Time Series Decomposition
Required Libraries library(fpp3) library(gridExtra) Problem 3.1 Consider the GDP information in global_economy. Plot the GDP per capita for each country over time. Which country has the highest GDP per capita? How has this changed over time? The country with the highest GDP is Monaco, followed by Liechtenstein and Luxembourg. Since the start of th...
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