# Introduction In this challenge, we will be working with pretrained models to train a classification model for a dataset with limited samples. We will merge feature vectors extracted by three pretrained models and use them to train a classification model. We will then use the trained model to predict the labels of samples in a test dataset and generate a result file. The challenge requires achieving an accuracy of 95% on the test dataset.
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