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game-sales-prediction-model
soni0391s/game-sales-prediction-model
game-sales-prediction-model is a machine learning model from soni0391s. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model predicts Global Sales of video games based on several features.
Access
Public
Updated Dec 5, 2025
Repo size
1.5 MB
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Repo makeup
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.pkl1.5 MB · 63%
At a glance
- Access
- Public
- Created
- Dec 4, 2025
- Updated
- Dec 5, 2025
- SHA
- 2d777419
Model card
From the Hugging Face model README
Game Sales Prediction Model
This model predicts Global Sales of video games based on several features.
🔢 Input Features
Numerical:
- NA_Sales
- EU_Sales
- JP_Sales
- Other_Sales
- Year
Categorical:
- Platform
- Genre
- Publisher
🧠 Model
- Trained using scikit-learn
- Algorithm: KNeighborsRegressor
- Preprocessing: StandardScaler + OneHotEncoder (ColumnTransformer)
📦 Files Included
- game_model.pkl → Trained ML model
- inference.py → Script to load and run predictions
- requirements.txt → Dependencies
🚀 Inference (example)
from inference import predict
sample = {
"NA_Sales": 2.5,
"EU_Sales": 1.8,
"JP_Sales": 0.5,
"Other_Sales": 0.3,
"Year": 2010,
"Platform": "PS3",
"Genre": "Action",
"Publisher": "Sony"
}
print(predict(sample))
- Created
- Dec 4, 2025
- Updated
- Dec 5, 2025