readme: ---
  tags:
  - autotrain
  - tabular
  - regression
  - tabular-regression
  datasets:
  - jwan2021/autotrain-data-us-housing-prices
  co2_eq_emissions:
    emissions: 32.513983893680546
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Single Column Regression
  - Model ID: 1771761511
  - CO2 Emissions (in grams): 32.5140
  
  ## Validation Metrics
  
  - Loss: 134406.507
  - R2: 0.861
  - MSE: 18065109105.270
  - MAE: 103271.843
  - RMSLE: 0.139
  
  ## Usage
  
  ```python
  import json
  import joblib
  import pandas as pd
  
  model = joblib.load('model.joblib')
  config = json.load(open('config.json'))
  
  features = config['features']
  
  # data = pd.read_csv("data.csv")
  data = data[features]
  data.columns = ["feat_" + str(col) for col in data.columns]
  
  predictions = model.predict(data)  # or model.predict_proba(data)
  
  ```