system's picture
system HF staff
Commit From AutoTrain
d122dc9
metadata
tags:
  - autotrain
  - tabular
  - classification
  - tabular-classification
datasets:
  - tejas23/autotrain-data-amx2
co2_eq_emissions:
  emissions: 0.002766545033914285

Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 1702259729
  • CO2 Emissions (in grams): 0.0028

Validation Metrics

  • Loss: 6.095
  • Accuracy: 0.824
  • Macro F1: 0.543
  • Micro F1: 0.824
  • Weighted F1: 0.808
  • Macro Precision: 0.572
  • Micro Precision: 0.824
  • Weighted Precision: 0.801
  • Macro Recall: 0.543
  • Micro Recall: 0.824
  • Weighted Recall: 0.824

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)