I tested multiple different types of models. Usually lore of something of non-importance to the actual card. released_at, the date the card was released.toughness, the toughness of the creature.cmc, the converted mana cost, or total amount of mana to cast the card.mana_cost, the mana cost, including colored mana, to cast the card.colors, the colors of the mana to cast the card.color_identity, the cards color identity.rarity, the rarity of the card: common, uncommon, rare, mythic.From there, I selected the relevant columns, which were the attributes of the card:
This left around 1300 cards to be used in my model. There was around 30,000 cards in total, which was filtered by legality. To begin, I created a data set using the card sets that are allowed in the standard legality. Using predictive modeling, we can use prior cards attributes, we can predict a price for future cards or cards without a known price. However, not all cards have a price tag, usually due to a low supply of currently selling cards or having been recently released. Most trading card stores and online stores will allow you to sell your cards for either in store credit, or real world currency.
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