Plot Roc - Curve Excel

Add a new column L: = difference between consecutive FPR values: =K3-K2 (drag down)

= =COUNTIFS($A$2:$A$100,1,$B$2:$B$100,">="&E2)

Column M: = =(J2+J3)/2

Good news:

by predicted probability (highest to lowest). 👉 Select both columns → Data tab → Sort → by Predicted Prob → Descending . Step 2: Choose Threshold Values We will test different classification thresholds (cutoffs). For each threshold, we calculate True Positives, False Positives, etc. plot roc curve excel

Column N: = =L3*M3 (drag down)

You should now have a table like:

So next time your manager asks, “How good is our model?” – you don’t need to fire up Jupyter. Just open Excel and show them the curve.

with your own data or download our free template below (link to template). And if you found this helpful, share it with a colleague who still thinks Excel can’t do machine learning evaluation! Have questions or an Excel trick to add? Drop a comment below! Add a new column L: = difference between

If you work in data science, machine learning, or medical diagnostics, you’ve probably heard of the (Receiver Operating Characteristic curve). It’s a powerful tool to evaluate the performance of a binary classification model. But what if you don’t have access to Python, R, or SPSS?

= =G2/(G2+H2) ⚠️ Handle division by zero: if denominator is 0, set value to 0 or N/A. Step 4: Copy Formulas for All Thresholds Drag these formulas down for every threshold value you defined. For each threshold, we calculate True Positives, False