1. svm
https://greitemann.dev/svm-demo
2. tensor flow
https://playground.tensorflow.org/#activation=linear&batchSize=10&dataset=gauss®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=&seed=0.96726&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=true&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false
3. percentage
https://medium.com/jameslearningnote/%E8%B3%87%E6%96%99%E5%88%86%E6%9E%90-%E6%A9%9F%E5%99%A8%E5%AD%B8%E7%BF%92-%E7%AC%AC3-2%E8%AC%9B-%E7%B7%9A%E6%80%A7%E5%88%86%E9%A1%9E-%E6%84%9F%E7%9F%A5%E5%99%A8-perceptron-%E4%BB%8B%E7%B4%B9-84d8b809f866
https://ithelp.ithome.com.tw/articles/10215769
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