On 23/05/2018 8:07 AM, Kellie Fitton wrote:
One can still get problems even with the best data. Garbage in,
garbage out. Predictive analytics are risky by nature, they are
valid as long as the input data are also valid.
Sadly, no, they are not.
In article <fmkbvdFmonU1@mid.individual.net>,
pete dashwood <dashwood@enternet.co.nz> wrote:
On 23/05/2018 8:07 AM, Kellie Fitton wrote:
[snip]
One can still get problems even with the best data. Garbage in,
garbage out. Predictive analytics are risky by nature, they are
valid as long as the input data are also valid.
Sadly, no, they are not.
Mr Dashwood, it seems that folks no longer study the Hawthorne effect.
DD
On 25/05/2018 6:12 AM, docdwarf@panix.com wrote:
In article <fmkbvdFmonU1@mid.individual.net>,Sorry Doc, not sure of your allusion here. My position has been
pete dashwood <dashwood@enternet.co.nz> wrote:
On 23/05/2018 8:07 AM, Kellie Fitton wrote:
[snip]
One can still get problems even with the best data. Garbage in,
garbage out. Predictive analytics are risky by nature, they are
valid as long as the input data are also valid.
Sadly, no, they are not.
Mr Dashwood, it seems that folks no longer study the Hawthorne effect.
consistent throughout the thread (whether it was observed or not... :-)):
"Don't trust the results of analytics."
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