Assignment 6 skeleton

assignments/A6/classify.m

@@ -0,0 +1,32 @@
+iris = csvread("iris.csv");
+
+[training, testing] = randomsplit(iris, 2/3)
+
+p = 2
+cells = p^(columns(iris)-1)+1
+
+minmax = ranges(iris);
+classes = minmax(2,1) - minmax(1,1) + 1;
+
+votes = zeros(cells,classes);
+
+for i=1:rows(training)
+  label = training(i,1);
+  hashval = hash(training(i,:), minmax, p);
+  votes(hashval,label) += 1;
+endfor
+
+classification = tally(votes)
+
+correct = 0
+for i=1:rows(testing);
+  hashval = hash(testing(i,:), minmax, p);
+  class=classification(hashval);
+  label = testing(i,1);
+  if label == class
+    correct += 1;
+  endif
+endfor
+
+display(correct/rows(testing))
+

assignments/A6/iris.csv

@@ -0,0 +1,151 @@
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+3,6.5,3.0,5.2,2.0
+3,6.2,3.4,5.4,2.3
+3,5.9,3.0,5.1,1.8
+

assignments/A6/workspace.octave-workspace

@@ -0,0 +1 @@
+# Created by Octave 7.3.0, Wed Dec 07 23:43:44 2022 GMT <unknown@Isaac-DesktopPC>