what is the most common errors in data mining what is the difference between a model that is out of sample and a model that is based on a standardized set of data? what is the most common mistake people make what is the worst error people make? what's the worst errors you can make in data mining what is the problem with using out of sample data instead of training data how to find out the difference between an out-of-sample and an in-sample? why do people make big data errors what is the trend for the out of sample what is a data miner's error why is data mining such a common error why use data to do training and modeling what would be the most important data error of data mining what is the most common mistake people make when using data mining? what is the most common error that you make in data mining what is one of the most common errors a person make in data mining what is the biggest error in data mining? what is the trend of out-of-sample data mining what is the worst mistake you could make when mining the model what is the trend with data mining