🎮 Simulator EP07_06: Multi-Class k-NN Pipeline
6 Train· 3 Test· 3 Classes
Choose the metric, k value, and test sample (★). See the k nearest neighbors, the voting, the tie-breaking when necessary, and how this propagates to the confusion matrix and the accuracy of the whole set.
Metric (M)
Neighbors (k)
Test sample (★)
📏 Distances to the test sample (sorted) — #i = reading order in the training list (hover)
🗳️ Voting among the k neighbors
📋 Confusion matrix and accuracy — running the pipeline over the 3 test samples
Description: Figure 7.26: Simulator EP07_06: k-NN Multi-Class Pipeline (voting, tie-breaking and confusion matrix)