navidfk/autotrain-wine-1986366196

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 1986366196
• CO2 Emissions (in grams): 23.9834

Validation Metrics

• Loss: 0.792
• Accuracy: 0.705
• Macro F1: 0.345
• Micro F1: 0.705
• Weighted F1: 0.683
• Macro Precision: 0.365
• Micro Precision: 0.705
• Weighted Precision: 0.676
• Macro Recall: 0.341
• Micro Recall: 0.705
• Weighted Recall: 0.705

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)