About This Hackathon

We humans have been using glass since ancient times for a variety of applications from building construction to making decorative objects. With technology, glass and its applications have evolved, and today, we have different varieties of glass used for very different purposes from a computer monitor to a bulletproof car window depending on the grade of the glass produced. And not all grades or varieties are manufactured the same way. In this data science challenge, you as a data scientist must use the given data to predict the grade of the glass produced based on the given factors.Given are 15 distinguishing factors that can provide insight into what grade of the glass is being produced. Your objective as a data scientist is to build a machine learning model that can predict the grade of glass based on the given factors.

Key Information

• Category: Hackathon
• Difficulty Level: Beginner
• Status: Expired
• Start Date: 2020-05-22T18:00:00Z
• End Date: 2020-05-25T18:00:00Z
• Current Participants: 520

Rules and Guidelines

One account per participant. Submissions from multiple accounts will lead to disqualification The submission limit for the hackathon is 10 per day after which the submission will not be evaluated All registered users are eligible to participate in the hackathon We ask that you respect the spirit of the competition and do not cheat

Evaluation Criteria

The leaderboard is evaluated on the standard log_loss metric from sklearn

Quick Summary

Glass Quality Prediction : Weekend Hackathon #6 is a beginner level hackathon currently expired. It has 520 participants. The event runs from 2020-05-22T18:00:00Z to 2020-05-25T18:00:00Z.Registration is free and open to all skill levels.