chinese_spam_detect Open-source Model - Effectively Distinguish Spam and Non-spam Chinese Emails

Chinese Spam Detect

Developed by paulkm

This is a binary classification model trained using AutoTrain, specifically designed to distinguish between spam and non-spam emails.

Downloads 13

Release Time : 12/11/2022

Model Overview

The model utilizes text classification technology to accurately identify spam content, making it suitable for email filtering systems.

High Accuracy

Achieves a validation accuracy of 99.2%, reliably distinguishing spam emails.

Comprehensive Performance Metrics

Excellent performance in precision (99.3%), recall (99.0%), and F1 score (0.991).

Low Resource Consumption

Training process emits only 0.8148 grams of CO2, making it environmentally efficient.

Text Classification

Spam Detection

Binary Decision

Email Management

Spam Filtering

Automatically identifies and filters spam emails

99.2% accuracy with low false positive rate

Content Moderation

Spam Content Identification

Identifies text content containing spam information

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