I want to Find the rule by Kaggle Fall Detection large dataset，
Use to judge the classifying following different movements。
0- Standing ，1- Walking ，2- Sitting ，3- Falling ，4- Cramps ，5- Running
Use Seaborn to see the following Data range , and use Standard Deviation between maybe 1σ(sigma) ~ 3σ to run gradient descent
look forward to confirm Data concentration Data concentration
。
ACTIVITY(activity classification)、TIME(monitoring time)、SL(sugar level)、
EEG(EEG monitoring rate)、BP(Blood pressure)、HR(Heart beat rate)、
CIRCLUATION(Blood circulation)
Result :
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Seaborn :
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Standard Deviation 1σ(sigma):
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Apriori Algorithm to find Association rule mining :
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CNN :
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