References

• The Origins of Logistic Regression, J.S. Cramer https://papers.tinbergen.nl/02119.pdf. This interesting paper explains when and why logistic regression was developed and how it evolved into the currently employed model.
• Introduction to probability theory on brilliant.org, a really well-crafted interactive course on probability, from basic probability theory to continuous variables and experiments: https://brilliant.org/courses/probability/.
• An online sample size calculator to define the minimum sample size needed for statistical significance: http://www.nss.gov.au/nss/home.nsf/pages/Sample+size+calculator, a useful explanation about the significance of sample size and related terms is also provided.
• http://www.di.fc.ul.pt/~jpn/r/svm/svm.html#svm-for-regression, a good vignette showing in great detail the content of the svm() output and its meaning...