For a multiclass classification problem, the results may be in the form of an array of probabilities (assuming a [...] encoded output variable) that may need to be converted to a single class output prediction using the argmax() NumPy function.
Answer
one hot
status
not learned
measured difficulty
37% [default]
last interval [days]
repetition number in this series
0
memorised on
scheduled repetition
scheduled repetition interval
last repetition or drill
Parent (intermediate) annotation
Open it For a multiclass classification problem, the results may be in the form of an array of probabilities (assuming a one hot encoded output variable) that may need to be converted to a single class output prediction using the argmax() NumPy function.