Pharmaceutical, Machine Learning, Graph Theory, Linear Programming.
X_train, X_test, y_train, y_test = train_test_split(scaled, npi_info['Target'], test_size=0.33, random_state=42) from numpy import loadtxt from xgboost import XGBClassifier from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score model = XGBClassifier()