reesu/wine_quality

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 3195889861
• CO2 Emissions (in grams): 8.2768

Validation Metrics

• Loss: 0.995
• Accuracy: 0.569
• Macro F1: 0.296
• Micro F1: 0.569
• Weighted F1: 0.543
• Macro Precision: 0.447
• Micro Precision: 0.569
• Weighted Precision: 0.558
• Macro Recall: 0.283
• Micro Recall: 0.569
• Weighted Recall: 0.569

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)