Overview of Model Performance Metrics |
Author(s): |
| Shaik Mohammed Rashik Ansar , Hindustan Institute of Technology and Science |
Keywords: |
| Model Performance Metrics |
Abstract |
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A quick overview of the most commonly used metrics to measure the performance of classification and regression models. Metrics like Area under ROC curve, Confusion matrix, Median Absolute Deviation, R-Squared etc. These metrics are used to determine whether the model is performing well or need to change or retrain the model by giving more importance to different feature to make model more accurate. |
Other Details |
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Paper ID: IJSRDV8I30288 Published in: Volume : 8, Issue : 3 Publication Date: 01/06/2020 Page(s): 389-391 |
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