Ubuntu 16.04 have support until April 2021. So in 2021 will i have to reinstall whole system or will be asked to update system by"system update like on windows" without formating hdd and losing all my preferences? Like every 5 years have to reinstall everything? Sorry to ask silly questions. I'm newcomer to Linux and I just want to use pc for daily things and don't want using terminal at all. Thank you
Question is about Ubuntu release process. Are migrations from n to n+1 releases expected?  Assuming we have server with installed Ubuntu 14.04 LTS. Will it be smoothly upgradable to Ubuntu 16.04 LTS via apt-get upgrade ?  Assumptions:   scope is software therefore we assume that given hardware is supported on both releases (upgrading from and to) that's why, always before upgrade you are asked to make backup to be able to revert in case of failure
"batch" tag turns into "batch-file" Testing Classification on Oversampled Imbalance Data I am working on severely imbalanced data. In literature, several methods are used to re-balance the data using re-sampling (over- or under-sampling). Two good approaches are:   SMOTE: Synthetic Minority Over-sampling TEchnique () ADASYN: Adaptive Synthetic Sampling Approach for Imbalanced Learning ()   I have implemented ADASYN because its adaptive nature and ease to extension to multi-class problems.  My question is how to test the oversampled data produced by ADASYN (or any other oversampling methods). It is not clear in the mentioned two paper how they performed their experiments. There are two scenarios:  1- Oversample the whole dataset, then split it to training and testing sets (or cross validation).  2- After splitting the original dataset, perform oversampling on the training set only and test on the original data test set (could be performed with cross validation).  In the first case the results are much better than without oversampling, but I am concerned if there is overfitting. While in the second case the results are slightly better than without oversampling and much worse than the first case. But the concern with the second case is if all minority class samples goes to the testing set, then no benefit will be achieved with oversampling.  I am not sure if there are any other settings to test such data. Why does a passport have a place of birth field on it? Almost all passports I have seen have a place of birth field on them. For instance, on the US Passport,    Is there a specific reason to this? I've created a bash script but when I try to execute it, I get   #!/bin/bash no such file or directory   I need to run the command: bash script.sh for it to work.  How can I fix this? Rational solutions of $y^2 = x^3 - x$ Answering a phone call with "Yes, XX, tell me" I have heard a lot of people pick their phone and go "Yes, XX, tell me" (highly used in India).  I think the right way should be "Hey, XX, what's up?" or "Hey, XX, what's going on"? But does this work in a professional environment? Pass an extra argument to a callback function JavaScript object: access variable property by name as string Copyright issues if using vector art from Shutterstock? How do I fix this "E: Type '*' is not known on line * in source list ..." update error? Converting string into datetime Word for someone who pays attention to details Why does 1+++2 = 3? How does Python evaluate the expression 1+++2?  How many ever + I put in between, it is printing 3 as the answer. Please can anyone explain this behavior  And for 1--2 it is printing 3 and for 1---2 it is printing -1 How can I modify the size of swap with LVM partitions? I'm trying to add/modify a swap partition on my LVM-formatted hard disk by using GParted from a LiveCD.  I only see one big partition taking up the whole disk.    Is there a hidden swap?    Does an LVM-formatted system even need a swap?  I'm using Ubuntu 12.10. Book recommendations Laravel - Populating Select List with Derived Values Prove that $\sum^{n}_{r=0}(-1)^r\cdot \large\frac{\binom{n}{r}}{\binom{r+3}{r}} = \frac{3!}{2(n+3)}$ Let $L$ be a linear operator on a complex vector space $V$, how to show that eigenvalues of $L^\dagger L$ are positive? I guess this might be a statement taught in a functional analysis class or an advanced linear algebra class? Port Forwarding to a VMware Workstation Virtual Machine Let $g_n= {2^2}^n +1 $. Prove $g_0 · g_1 · · · g_{n−1} = g_{n} − 2$.    I'm not sure how to start this proof, if it should be done algebraically or if I should try to use a proof by induction.