Objective:

The data for this competition represents measurements of parts as they move through Bosch's production lines. The objective is to predict which parts will fail quality control (represented by a 'Response' = 1).

Challenge:

It is one of the largest datasets (in terms of number of features) hosted on Kaggle.

Models:

I implemented different classification models on manufacturing dataset such as Logistic Regression, Random Forest, Gradient Boosting.

Evaluation Criteria:

Accuracy, Precision and Matthews Correlation Score (MCC).

Dataset:

You can find the public dataset on Kaggle via link below: https://www.kaggle.com/c/bosch-production-line-performance/data