
# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 1331950900
- CO2 Emissions (in grams): 2.0630

## Validation Metrics

- Loss: 246.452
- R2: -0.063
- MSE: 60738.433
- MAE: 112.766
- RMSLE: 0.419

## 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)

```
{"tags": ["autotrain", "tabular", "regression", "tabular-regression"], "datasets": ["inayet/autotrain-data-price-prediction"], "co2_eq_emissions": {"emissions": 2.062998493126725}}
transformers joblib extra_trees autotrain tabular regression tabular-regression dataset:inayet/autotrain-data-price-prediction co2_eq_emissions endpoints_compatible has_space region:us
TAGS
#transformers #joblib #extra_trees #autotrain #tabular #regression #tabular-regression #dataset-inayet/autotrain-data-price-prediction #co2_eq_emissions #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 1331950900
- CO2 Emissions (in grams): 2.0630

## Validation Metrics

- Loss: 246.452
- R2: -0.063
- MSE: 60738.433
- MAE: 112.766
- RMSLE: 0.419

## Usage


# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 1331950900
- CO2 Emissions (in grams): 2.0630 ## Validation Metrics

- Loss: 246.452
- R2: -0.063
- MSE: 60738.433
- MAE: 112.766
- RMSLE: 0.419 ## Usage
TAGS
#transformers #joblib #extra_trees #autotrain #tabular #regression #tabular-regression #dataset-inayet/autotrain-data-price-prediction #co2_eq_emissions #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 1331950900
- CO2 Emissions (in grams): 2.0630 ## Validation Metrics

- Loss: 246.452
- R2: -0.063
- MSE: 60738.433
- MAE: 112.766
- RMSLE: 0.419 ## Usage
passage: TAGS
#transformers #joblib #extra_trees #autotrain #tabular #regression #tabular-regression #dataset-inayet/autotrain-data-price-prediction #co2_eq_emissions #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 1331950900
- CO2 Emissions (in grams): 2.0630## Validation Metrics

- Loss: 246.452
- R2: -0.063
- MSE: 60738.433
- MAE: 112.766
- RMSLE: 0.419## Usage