Hi Everyone,I want to solve a classification problem which has 10 classes to predict.my train and validation datasets are prepared properly.here is my code. Please let me know why this error is coming.X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=100)# Success print ("Training and testing split was successful.")import xgboost as xgbdtrain = xgb.DMatrix(X_train, label=y_train) dtest = xgb.DMatrix(X_test, label=y_test)param = { 'max_depth': 3, # the maximum…See More

Hi Everyone,I want to solve a classification problem which has 10 classes to predict.my train and validation datasets are prepared properly.here is my code. Please let me know why this error is coming.X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=100)# Success print ("Training and testing split was successful.")import xgboost as xgbdtrain = xgb.DMatrix(X_train, label=y_train) dtest = xgb.DMatrix(X_test, label=y_test)param = { 'max_depth': 3, # the maximum…See More