CSV to K Nearest Neighbor (KNN) Classifier
Find other text datasets at
https://archive.ics.uci.edu/ml/datasets.html?sort=nameUp&view=list
or at
https://en.m.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research
Original CSV:
sepal_length,sepal_width,petal_length,petal_width,species 5.1,3.5,1.4,0.2,setosa 4.9,3,1.4,0.2,setosa 4.7,3.2,1.3,0.2,setosa 4.6,3.1,1.5,0.2,setosa 5,3.6,1.4,0.2,setosa 5.4,3.9,1.7,0.4,setosa 4.6,3.4,1.4,0.3,setosa 5,3.4,1.5,0.2,setosa 4.4,2.9,1.4,0.2,setosa 4.9,3.1,1.5,0.1,setosa 5.4,3.7,1.5,0.2,setosa 4.8,3.4,1.6,0.2,setosa 4.8,3,1.4,0.1,setosa 4.3,3,1.1,0.1,setosa 5.8,4,1.2,0.2,setosa 5.7,4.4,1.5,0.4,setosa 5.4,3.9,1.3,0.4,setosa 5.1,3.5,1.4,0.3,setosa 5.7,3.8,1.7,0.3,setosa 5.1,3.8,1.5,0.3,setosa 5.4,3.4,1.7,0.2,setosa 5.1,3.7,1.5,0.4,setosa 4.6,3.6,1,0.2,setosa 5.1,3.3,1.7,0.5,setosa 4.8,3.4,1.9,0.2,setosa 5,3,1.6,0.2,setosa 5,3.4,1.6,0.4,setosa 5.2,3.5,1.5,0.2,setosa 5.2,3.4,1.4,0.2,setosa 4.7,3.2,1.6,0.2,setosa 4.8,3.1,1.6,0.2,setosa 5.4,3.4,1.5,0.4,setosa 5.2,4.1,1.5,0.1,setosa 5.5,4.2,1.4,0.2,setosa 4.9,3.1,1.5,0.1,setosa 5,3.2,1.2,0.2,setosa 5.5,3.5,1.3,0.2,setosa 4.9,3.1,1.5,0.1,setosa 4.4,3,1.3,0.2,setosa 5.1,3.4,1.5,0.2,setosa 5,3.5,1.3,0.3,setosa 4.5,2.3,1.3,0.3,setosa 4.4,3.2,1.3,0.2,setosa 5,3.5,1.6,0.6,setosa 5.1,3.8,1.9,0.4,setosa 4.8,3,1.4,0.3,setosa 5.1,3.8,1.6,0.2,setosa 4.6,3.2,1.4,0.2,setosa 5.3,3.7,1.5,0.2,setosa 5,3.3,1.4,0.2,setosa 7,3.2,4.7,1.4,versicolor 6.4,3.2,4.5,1.5,versicolor 6.9,3.1,4.9,1.5,versicolor 5.5,2.3,4,1.3,versicolor 6.5,2.8,4.6,1.5,versicolor 5.7,2.8,4.5,1.3,versicolor 6.3,3.3,4.7,1.6,versicolor 4.9,2.4,3.3,1,versicolor 6.6,2.9,4.6,1.3,versicolor 5.2,2.7,3.9,1.4,versicolor 5,2,3.5,1,versicolor 5.9,3,4.2,1.5,versicolor 6,2.2,4,1,versicolor 6.1,2.9,4.7,1.4,versicolor 5.6,2.9,3.6,1.3,versicolor 6.7,3.1,4.4,1.4,versicolor 5.6,3,4.5,1.5,versicolor 5.8,2.7,4.1,1,versicolor 6.2,2.2,4.5,1.5,versicolor 5.6,2.5,3.9,1.1,versicolor 5.9,3.2,4.8,1.8,versicolor 6.1,2.8,4,1.3,versicolor 6.3,2.5,4.9,1.5,versicolor 6.1,2.8,4.7,1.2,versicolor 6.4,2.9,4.3,1.3,versicolor 6.6,3,4.4,1.4,versicolor 6.8,2.8,4.8,1.4,versicolor 6.7,3,5,1.7,versicolor 6,2.9,4.5,1.5,versicolor 5.7,2.6,3.5,1,versicolor 5.5,2.4,3.8,1.1,versicolor 5.5,2.4,3.7,1,versicolor 5.8,2.7,3.9,1.2,versicolor 6,2.7,5.1,1.6,versicolor 5.4,3,4.5,1.5,versicolor 6,3.4,4.5,1.6,versicolor 6.7,3.1,4.7,1.5,versicolor 6.3,2.3,4.4,1.3,versicolor 5.6,3,4.1,1.3,versicolor 5.5,2.5,4,1.3,versicolor 5.5,2.6,4.4,1.2,versicolor 6.1,3,4.6,1.4,versicolor 5.8,2.6,4,1.2,versicolor 5,2.3,3.3,1,versicolor 5.6,2.7,4.2,1.3,versicolor 5.7,3,4.2,1.2,versicolor 5.7,2.9,4.2,1.3,versicolor 6.2,2.9,4.3,1.3,versicolor 5.1,2.5,3,1.1,versicolor 5.7,2.8,4.1,1.3,versicolor 6.3,3.3,6,2.5,virginica 5.8,2.7,5.1,1.9,virginica 7.1,3,5.9,2.1,virginica 6.3,2.9,5.6,1.8,virginica 6.5,3,5.8,2.2,virginica 7.6,3,6.6,2.1,virginica 4.9,2.5,4.5,1.7,virginica 7.3,2.9,6.3,1.8,virginica 6.7,2.5,5.8,1.8,virginica 7.2,3.6,6.1,2.5,virginica 6.5,3.2,5.1,2,virginica 6.4,2.7,5.3,1.9,virginica 6.8,3,5.5,2.1,virginica 5.7,2.5,5,2,virginica 5.8,2.8,5.1,2.4,virginica 6.4,3.2,5.3,2.3,virginica 6.5,3,5.5,1.8,virginica 7.7,3.8,6.7,2.2,virginica 7.7,2.6,6.9,2.3,virginica 6,2.2,5,1.5,virginica 6.9,3.2,5.7,2.3,virginica 5.6,2.8,4.9,2,virginica 7.7,2.8,6.7,2,virginica 6.3,2.7,4.9,1.8,virginica 6.7,3.3,5.7,2.1,virginica 7.2,3.2,6,1.8,virginica 6.2,2.8,4.8,1.8,virginica 6.1,3,4.9,1.8,virginica 6.4,2.8,5.6,2.1,virginica 7.2,3,5.8,1.6,virginica 7.4,2.8,6.1,1.9,virginica 7.9,3.8,6.4,2,virginica 6.4,2.8,5.6,2.2,virginica 6.3,2.8,5.1,1.5,virginica 6.1,2.6,5.6,1.4,virginica 7.7,3,6.1,2.3,virginica 6.3,3.4,5.6,2.4,virginica 6.4,3.1,5.5,1.8,virginica 6,3,4.8,1.8,virginica 6.9,3.1,5.4,2.1,virginica 6.7,3.1,5.6,2.4,virginica 6.9,3.1,5.1,2.3,virginica 5.8,2.7,5.1,1.9,virginica 6.8,3.2,5.9,2.3,virginica 6.7,3.3,5.7,2.5,virginica 6.7,3,5.2,2.3,virginica 6.3,2.5,5,1.9,virginica 6.5,3,5.2,2,virginica 6.2,3.4,5.4,2.3,virginica 5.9,3,5.1,1.8,virginica
Headings:
Size, Weight
Data:
Labels
1.0, 34 9.8, 88 5.0, 67 6.0, 57 7.0, 77 2.3, 14 12.1, 99 15.1, 123
small big medium medium medium small big big
The K value:
The unknown:
...
Main page at
https://hpssjellis.github.io/deeplearnjs-javascript-examples/
by Jeremy Ellis
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Website
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Use at your own risk!