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mlstocks-goog-linear-regression-69
mishrabp/mlstocks-goog-linear-regression-69
mlstocks-goog-linear-regression-69 is a machine learning model from mishrabp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlstocks.
This model was trained using MLStocks NEXUS Builder to predict stock prices for GOOG.
Access
Public
Updated Feb 3, 2026
Repo size
577 B
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At a glance
- Library
- mlstocks
- Access
- Public
- Created
- Feb 3, 2026
- Updated
- Feb 3, 2026
- SHA
- c041a77c
Model card
From the Hugging Face model README
GOOG-technical-ml-linear-regression-342
This model was trained using MLStocks NEXUS Builder to predict stock prices for GOOG.
Model Details
- Type: Linear Regression
- Target Asset: GOOG
- Created At: 2026-02-03 14:37:10.987206
Performance Metrics
- MSE (Mean Squared Error): 10.849765630886363
- R² Score: 0.9919539965764965
Training Data
Dataset Size
- Total Samples: 1249 data points
- Training Set: 999 samples
- Test Set: 250 samples
Features Used (7)
- sma_20
- sma_50
- ema_9
- macd
- close_lag_1
- rolling_mean_5
- price_change
Usage
from huggingface_hub import hf_hub_download
import joblib
model_path = hf_hub_download(repo_id="mishrabp/mlstocks-goog-linear-regression-69", filename="model.joblib")
model = joblib.load(model_path)
- Library
- mlstocks
- Created
- Feb 3, 2026
- Updated
- Feb 3, 2026