Perfect score. Bad prediction..

In a binary classification problem tpot is able to get a perfect score! Both in confusion matrix and classification report (all 1's!). However, prediction test set is around 0.6..
Tried using the following scoring. None help.

`Score = [ 'balanced_accuracy', 'f1', 'f1_macro', 'f1_weighted', 'average_precision']

tpot = TPOTClassifier(generations= 3, population_size=20, verbosity= 2, random_state=42,
early_stop=3, scoring= xx, max_time_mins= 10 , n_jobs= cpus,
cv=StratifiedKFold(n_splits=15)
)`

Any idea what's the cause/how to fix?