text_plain_output_1.png
ideal_model = model_4.fit(train_features, train_targets, early_stopping_rounds=3, eval_set=[(validation_features, validation_targets)], verbose=False)
loss_pred = ideal_model.predict(test)
import seaborn as sns
sns.lineplot(data=loss_pred, label=test_ids)