
# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 38619101723
- CO2 Emissions (in grams): 3.8017

## Validation Metrics

- Loss: 0.145
- R2: 0.000
- MSE: 0.021
- MAE: 0.099
- RMSLE: 0.101

## 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": ["farouk97/autotrain-data-test7-2644pc-linearregr"], "co2_eq_emissions": {"emissions": 3.801725033462415}}
transformers joblib random_forest autotrain tabular regression tabular-regression dataset:farouk97/autotrain-data-test7-2644pc-linearregr co2_eq_emissions endpoints_compatible has_space region:us
TAGS
#transformers #joblib #random_forest #autotrain #tabular #regression #tabular-regression #dataset-farouk97/autotrain-data-test7-2644pc-linearregr #co2_eq_emissions #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 38619101723
- CO2 Emissions (in grams): 3.8017

## Validation Metrics

- Loss: 0.145
- R2: 0.000
- MSE: 0.021
- MAE: 0.099
- RMSLE: 0.101

## Usage


# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 38619101723
- CO2 Emissions (in grams): 3.8017 ## Validation Metrics

- Loss: 0.145
- R2: 0.000
- MSE: 0.021
- MAE: 0.099
- RMSLE: 0.101 ## Usage
TAGS
#transformers #joblib #random_forest #autotrain #tabular #regression #tabular-regression #dataset-farouk97/autotrain-data-test7-2644pc-linearregr #co2_eq_emissions #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 38619101723
- CO2 Emissions (in grams): 3.8017 ## Validation Metrics

- Loss: 0.145
- R2: 0.000
- MSE: 0.021
- MAE: 0.099
- RMSLE: 0.101 ## Usage
TAGS
#transformers #joblib #random_forest #autotrain #tabular #regression #tabular-regression #dataset-farouk97/autotrain-data-test7-2644pc-linearregr #co2_eq_emissions #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 38619101723
- CO2 Emissions (in grams): 3.8017## Validation Metrics

- Loss: 0.145
- R2: 0.000
- MSE: 0.021
- MAE: 0.099
- RMSLE: 0.101## Usage