• The Mann-Kendall Test is used to determine whether a time series has a
monotonic upward or downward trend. It does not require that the data be
normally distributed or linear. It does require that there is no autocorrelation.
• Kolmogorov–Smirnov test is a nonparametric test of the equality of
continuous (or discontinuous), one-dimensional probability distributions that
can be used to compare a sample with a reference probability distribution
• A type of statistical significance test in which the distribution of the test
statistic under the null hypothesis is obtained by calculating all possible values
of the test statistic under rearrangements of the labels on the observed data
• XGBoost is an optimized distributed gradient boosting library designed to be
highly efficient, flexible and portable. It implements machine learning
algorithms under the Gradient Boosting framework. XGBoost provides a
parallel tree boosting (also known as GBDT, GBM) that solve many data
science problems in a fast and accurate way.