When A predicts raining, the chance of raining is 60%. When B predicts raining, the chance of raining is also 60%. If A and B both predict to rain (assuming they did the prediction independently), ...
sorry for probably silly question, it's the first time when I need to do such work. I have large data set with regarding clicks on some element on web page. It contains some characteristics of such ...
I am trying to create a simple simulation setup for classifiers on toy data. Each data point can has a scalar feature $X$, which is uniformly distributed between -1 and 1. Depending on the feature, ...
Let's say I want to determine if some person is bald using two features, age and hair color. Also I will assume that age and hair color is independent in other words use Naive Bayes classifier. ...