README.md

metadata

license: apache-2.0
metrics:
  - r_squared
pipeline_tag: tabular-regression

CPU Advisor Price Predictor

Overview

Machine learning model for predicting CPU prices using hardware specifications and engineered features.

Model Details

• Algorithm: XGBoost Regressor
• Serialization: Skops
• Task: Regression

Features

• tdp
• cores
• logicals
• cpuCount
• rank
• samples
• extracted_ghz
• speed_ghz
• turbo_ghz
• cost_per_rank_point
• cost_per_core
• brand_encoded
• category_final_encoded
• socket_final_encoded

Training Pipeline

1. Data cleaning
2. Missing value handling
3. Feature engineering
4. Encoding categorical variables
5. XGBoost training
6. Model evaluation
7. Deployment using Gradio

Intended Use

Educational, research, and portfolio purposes.

Limitations

The model does not account for real-time market fluctuations or regional pricing differences.