Dog Classification

The following .csv file contains the data from a classifier model that predicts if an image contains a dog: predictions.csv 

The first column contains information if the dog is in the image or not. The second column contains the classifier prediction, which is in the interval 0-100, with higher values meaning that the classifier is more confident that image contains a dog.

What is the value of the decision boundary that will maximize the accuracy of the model? Values greater than or equal to the decision boundary will be treated as positive.


  • Data Science
  • Classification
  • Decision Boundary
  • New
  • Public
  • Hard


Difficulty: Hard

Duration: 20 min

Author: Davor Čulig

Score Distribution

Not enough data for chart.

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