How do you measure the performance of your predictive models | Data Science Interview Questions
Accuracy is measured differently for Regression and Classification predictive models. Depending on what type of project you did, mention how accuracy was measured and how the model was deployed in production.
Regression: 100-MAPE or 100- (Median APE)
Classification: F1-Score, Precision, Recall, AUC, ROC
Learn more about measuring model accuracy at the Thinking Neuron Website using below link
https://thinkingneuron.com/data-science-interview-questions-for-it-industry/#How-did-you-measure-your-predictive-model-accuracy
#predictivemodeling #accuracy #datascience #datascienceinterview #datascienceinterviewquestions #machinelearning
Accuracy is measured differently for Regression and Classification predictive models. Depending on what type of project you did, mention how accuracy was measured and how the model was deployed in production.
Regression: 100-MAPE or 100- (Median APE)
Classification: F1-Score, Precision, Recall, AUC, ROC
Learn more about measuring model accuracy at the Thinking Neuron Website using below link
https://thinkingneuron.com/data-science-interview-questions-for-it-industry/#How-did-you-measure-your-predictive-model-accuracy
#predictivemodeling #accuracy #datascience #datascienceinterview #datascienceinterviewquestions #machinelearning
