However, the validity of the outcome from machine learning largely depends on the quantity, quality, representativeness, and relevance of the feeding data including accurate labels. To achieve the best performance, it requires significant effort in data preparation, feature engineering, algorithm selection...
For example, test the accuracy of LightGBM python main_tabular_data.py --dataset=HIGGS --model=LightGBM To test other GBDT libraries, set the model to LightGBM, XGBoost, or Catboost For other datasets: 1 Prepare the data The class of data should be the child class of quantum_forest...
The data samples to train the ElmanNN were collected during the test flight of a Quadrocopter. Hongtao Li et al. [19] used an ElmanNN optimized by a cuckoo search algorithm to forecast air cargos. The air cargo time-series from three different airports in China were adopted to validate ...