In this project we will build a web portal for our GoT data analysis and visualization system. The website will integrate all the apps created in projects B-D with the help of the integration team assigned to Project E.
The two machine learning algorithms provide sometimes ridiculously contradictory results. For example, for Jon snow we get PLOD = 11% by algorithm1 and PLOD=99% by algorithm2. So, we'd rather not want to have this old couple behavior on our website.
And though we really love the sentence "Our second, less accurate, algorithm predicts likelihood to be 100%, because he is dead." we (i.e. the mentors) decided to let algorithm2 go....
Therefore, the TODOs on this subject are:
Character's page: remove sentence "Our second, less accurate, algorithm predicts likelihood to be XX%". Remove the "s" from the word algorithms in "Click here to read more about our prediction algorithms".
Update the markdown of the ML description algorithms, which I will do now.
The two machine learning algorithms provide sometimes ridiculously contradictory results. For example, for Jon snow we get PLOD = 11% by algorithm1 and PLOD=99% by algorithm2. So, we'd rather not want to have this old couple behavior on our website.
And though we really love the sentence "Our second, less accurate, algorithm predicts likelihood to be 100%, because he is dead." we (i.e. the mentors) decided to let algorithm2 go....
Therefore, the TODOs on this subject are: