= =F2/(F2+I2)
= =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.
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! plot roc curve excel
= =COUNTIFS($A$2:$A$100,1,$B$2:$B$100,">="&E2)
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.
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. = =F2/(F2+I2) = =G2/(G2+H2) ⚠️ Handle division by
Add a new column named Threshold . Start from the highest predicted probability down to the lowest, then add 0.