Just 28,000 years ago, the blink of an eye in geological time, the last of Neanderthals died out in their last outpost, in caves near Gibraltar. Thanks to cartoons and folk accounts we have a distorted view of these other humans - for that is what they were. We think of them as ...
Everyone has tasks that they do all the time—create a particular kind of variable, produce a particular table, perform a sequence of statistical steps, compute an RMSE, etc. The possibilities are endless. Stata has thousands of built-in procedures, but you may have tasks that are relatively...
(i) they are limited in size compared with the chemical space and (ii) we do not know the underlying distributions in either the entire chemical space or in the part of it that we will be interested in the future, we will never be able to have a true estimate of model performance ...
(To be more precise, any median may do, since it may not be uniquely defined - in the elevator example, this corresponds to having an even number of elevators.) Thus, if you suspect that your predictive distribution is (or should) be asymmetric, as in the two cases above, then if you...
RMSE (testing dataset) 0.190 0.245 0.194 0.191 Our analysis employs SHAP values to gain a different view of each topic's importance in predicting the model's outcome. Annexes I-II show the importance of global features for our models. The global importance of each feature is taken to be the...
Why do we use reinforcement learning in the hyperparameters optimization? Stock markets change all the time. Even if we manage to train our GAN and LSTM to create extremely accurate results, the results might only be valid for a certain period. Meaning, we need to constantly optimise the whol...
Why do we use reinforcement learning in the hyperparameters optimization? Stock markets change all the time. Even if we manage to train our GAN and LSTM to create extremely accurate results, the results might only be valid for a certain period. Meaning, we need to constantly optimise the whol...
I recommend reading Dorugade and Kashid's 2010 paper for more information on this matter. For the sake of time and brevity, the current paper will simply look at the least increase in _RMSE_ and a decrease in ridge variable inflation factors for each variable. In order to achieve this, ...
Their method is highly dependent on the duration of activity, which is based on the assumption that users do not use any other transit modes in their trips. This assumption is not likely to be true for all travellers, especially occasional travellers. The work of Medina [25] combined ...
If other algorithms do not give better accuracy than the baseline, what lesson should we take from it? Does it indicate that the data set does not have prediction capability? These are great questions, they get to the heart of why we create a baseline in the first place and the filtering...