The discriminatory power of the model is normally quantified with Somers' D which is the same as Gini in the binary context. $Gini = 2 \times AUC -1$ AUC is also nicely explained here: https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc#...
My intuition says that there must be a connection of some sort, that GINI has to have a good foundation in a mathematical theory of information (Shannon) but I don't understand GINI well enough to derive the relationship myself. Questions: ...
First, we determine the best feature to split the dataset using Gini index(basics from decision tree). The feature with the lowest Gini index becomes the first stump in the AdaBoost stump chain(the lower the Gini index is, the better unmixed the label is, therefore, better split). Secondly...
After five years wearing the Liverpool shirt,Gini Wijnaldumis no longer a Red after agreeing to join PSG – and he’s already showing what we will miss. The writing was on the wall over the future of the Dutchman for much of the season, with no progress on contract talks ...
solve.QP, fromquadprog, is a good choice for a quadratic programming solver. From the documentation, it minimizes quadratic programming problems of the formkatex is not definedwith the constraintskatex is not defined. Pedantically, note the variable mapping ofkatex is not defined(this is to offse...
If we can equate income, the Gini coefficient will be smaller. The relevant organizations of the United Nations stipulate that if the average income is below 0.2, the average income is highly averaging; 0.2 to 0.3 means a relatively average; 0.3 to 0.4 is relatively reasonable; 0.4 to 0.5 ...
Made a mill made another what a feeling I f**k a b**ch I'm floating all the money to the ceiling I ain't cuff em I don't love em I ain't catching feelings I fill this club up to the f**king ceiling I might pull up in the lamb or the gat ...
In the first step, we applied Gini index to measure and compare the distribution of HFC to health expenditure across the samples in 2013 and 2015, the years before and after implementation of the HTP. The Gini coefficient is a measure of statistical dispersion which is useful for quantifying ...
When we have a set of data, we may be able to calculate its standard deviation. This tells us the spread of our data, specifically in reference to the mean. The larger the standard deviation, the further away our data is from the mean. Answer and Explanation: 1 Become a Study.com ...