Performance Measures- Part3

Here we are discussing about ROC -AUC curve(Receiver operating characteristic-Area under curve), how they are using to decide the efficiency of model. ROC-AUC ROC curve is graphical plot that illustrates the diagnostic ability of model. ROC is a probability curve, created by plotting the TPR(True Positive Rate) and FPR(False Positive Read more…

Performance Measures -Part 2

There are other performance measures except the accuracy which we have gone through in earlier blog. Other performance measures are Precision, Recall , F score and ROC. We are going to discuss one by one using the example and use of it. Precision: Of the transaction classified positive fraudulent, how Read more…

Performance Measures -Part 1

When we say that “model is ready”, there should be some techniques or methods to evaluate the readiness of it and to deploy in the production.We are going to learn below techniques to find out the ways to evaluate the machine learning model. Confusion Matrix Accuracy Precision Recall F1 Score Read more…

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