In the context of machine learning competitions on Kaggle , is a compressed archive containing the raw data used for feature extraction and model training.
: 50,000 color images (32x32 pixels) across 10 categories. train.7z
: Researchers often use n-grams of opcodes, file size, and image-based intensity features derived from these raw files. 🖼️ Image Classification (CIFAR-10) For the CIFAR-10 competition , train.7z typically contains: In the context of machine learning competitions on
Depending on the specific competition, this file contains different types of "features" or raw inputs: 🛡️ Malware Classification (Microsoft BIG 2015) train.7z