Background The XGBoost model, known as a powerful “weapon” in machine learning, is widely used in data science competitions and industrial applications. The official XGBoost also provides runnable code for various platforms and environments, such as XGBoost on Spark for distributed training. However, in the official implementation of XGBoost on Spark, there exists an instability … Read more
Without high-quality data, there are no high-quality data mining results. Missing data values are one of the common issues encountered in data analysis. When the proportion of missing data is very small, missing records can be directly discarded or handled manually. However, in actual data, missing data often accounts for a significant proportion. In this … Read more
Source: Artificial Intelligence Lecture Hall This article is about 2600 words long and is recommended for a 9-minute read. This article will help you understand missing values, the reasons behind missing values, the patterns, and how to use KNNImputer to estimate missing values. KNN, like random forests, gives the impression of being used for classification … Read more