Summary: Insights into Factors Influencing Defect Rates and Production Efficiency.
| Parameter | Value |
|---|---|
| Name | Predicting Manufacturing Defects Dataset |
| Labeled | Yes |
| Time Series | No |
| Simulation | No |
| Missing Values | No |
| Dataset Characteristics | Multivariate |
| Feature Type | Real |
| Associated Tasks | Classification |
| Number of Instances | INA |
| Number of Features | INA |
| Date Donated | INA |
| Source | Kaggle |
This dataset provides insights into factors influencing defect rates in a manufacturing environment. Each record represents various metrics crucial for predicting high or low defect occurrences in production processes. The dataset focuses on defect instances more because they do not occur often. However, non-defect instances were added too for this reason the dataset is imbalanced, consider balancing it before proceeding with machine learning techniques.
Manufacturing defects, Quality control, Predictive modeling, Industrial data, Process optimization