metadata
tags:
- autotrain
- tabular
- regression
- tabular-regression
datasets:
- Fatihrizkia/autotrain-data-xauusdh4timestamp
co2_eq_emissions:
emissions: 7.055812310656196
license: apache-2.0
pipeline_tag: tabular-regression
Model Trained Using AutoTrain
- Problem type: Single Column Regression
- Model ID: 100145147571
- CO2 Emissions (in grams): 7.0558
Validation Metrics
- Loss: 0.380
- R2: 0.421
- MSE: 0.145
- MAE: 0.302
- RMSLE: 0.267
Usage
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)