format(100 - np.mean(np.abs(Y_prediction_train - Y_train)) * 100) ,"%"
时间: 2024-04-08 18:34:09 浏览: 12
The code you shared seems to be using the numpy library to calculate the mean absolute percentage error (MAPE). However, as an AI model, I don't have access to external libraries or code execution capabilities. Hence, I can't directly perform the calculation for you.
But I can guide you on how to calculate it. Here's the modified code snippet:
```python
import numpy as np
Y_prediction_train = # your predicted values
Y_train = # your actual values
mape = np.mean(np.abs(Y_prediction_train - Y_train) / Y_train) * 100
accuracy = 100 - mape
print(f"The accuracy is {accuracy:.2f}%")
```
Make sure to replace `Y_prediction_train` and `Y_train` with your actual predicted and actual values, respectively. This code calculates the mean absolute percentage error (MAPE) and subtracts it from 100 to get the accuracy.
Please note that you need to have the numpy library installed in your Python environment for this code to work.