Edit model card

Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 66203136426
  • CO2 Emissions (in grams): 0.0425

Validation Metrics

  • Loss: 0.007
  • Accuracy: 0.997
  • Macro F1: 0.915
  • Micro F1: 0.997
  • Weighted F1: 0.996
  • Macro Precision: 0.926
  • Micro Precision: 0.997
  • Weighted Precision: 0.995
  • Macro Recall: 0.915
  • Micro Recall: 0.997
  • Weighted Recall: 0.997

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)
Downloads last month
3
Inference Examples
Inference API (serverless) does not yet support transformers models for this pipeline type.

Space using nvenhuizen14/mofodbtransactions 1