Flagging underfitting from learning curves using the wrong boolean condition.
Codepython
train_score = 0.62
val_score = 0.60
# Underfitting: both scores are low and close
if train_score < 0.7 or val_score < 0.7:
print('Underfitting suspected')
else:
print('Model fits adequately')