The study focused on the Haizhou open-pit Coal Mine in Fuxin City, Liaoning Province. The PSR model was used to create an evaluation system to measure the effectiveness of ecological restoration efforts in the mine. The mining area’s field investigation data from 2015 to 2021 was used to evaluate the positive and negative grey correlation degree between each scheme and the best and worst solution. This evaluation was done using the Topsis integrated grey correlation analysis method. Subsequently, the comprehensive score was calculated. Furthermore, the evaluation is based on scores that are categorized into distinct intervals. The score data was reconstructed using an LSTM neural network model for rolling prediction. The error distribution of the model prediction results was analyzed using the Bootstrap method to determine the interval range of the model prediction output. Subsequently, the future restoration effectiveness was predicted within different confidence intervals. The experimental results served as valuable references for assessing the effectiveness of future ecological restoration efforts.