Automating model selection in Python machine learning libraries can be effectively achieved using tools such as Scikit-learn's `GridSearchCV` and `RandomizedSearchCV`.

There are four steps to implement DiTMoS framework. Pre-train a strong model which can achieve nearly 95% accuracy on UniMiB-SHAR for data splitting. (The pre-trained model will be saved to pretrained ...