Trains a XGBoost (n_estimators=200, max_depth=8, tree_method=hist) classifier on the stratified k-fold datasets produced by ``feature_aggregation.py`` using ``class_weight='balanced'`` (or ``scale_pos ...
XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine ...
The study develops a robust, reproducible machine learning framework for one-step-ahead forecasting of daily log-returns in the Nepal Stock Exchange (NEPSE) Index using XGBoost, with comprehensive ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results