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metadata
tags:
  - autotrain
  - tabular
  - classification
  - tabular-classification
datasets:
  - fyhao/autotrain-data-sentiment-analysis
co2_eq_emissions:
  emissions: 0.0803280731181239
widget:
  structuredData:
    text:
      - I am happy

Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 2435575634
  • CO2 Emissions (in grams): 0.0803

Validation Metrics

  • Loss: 0.186
  • Accuracy: 0.873
  • Macro F1: 0.870
  • Micro F1: 0.873
  • Weighted F1: 0.868
  • Macro Precision: 0.938
  • Micro Precision: 0.873
  • Weighted Precision: 0.896
  • Macro Recall: 0.833
  • Micro Recall: 0.873
  • Weighted Recall: 0.873

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)