Privacy

Trying to buy his silence is insulting enough, but they offer a pitiful amount and can't even be bothered to offer actual currency?

At least the deacon who sexually harassed me and tried to buy my silence that time wrote a three or four hundred dollar check, which I promptly cashed, and told the whole neighborhood.

Not only are they trying to buy his silence, they think they can do it so cheaply. Shows their own world view where they think people will fall over each other trying to sell their rights for a hundred.

and its only 100$ instore credit. hope they can sue to expose them, and then you wonder where they are getting the biases from, select all non-whites as thieves.

just cut their internet from the outside before going in.. then pay cash. you know none of this is being ran locally

You're right to question this.

In machine learning Accuracy means the correct % of overall classifications. There's some other terms like:

• Precision which is the % of correctly identified positives divided by the number of positive classifications. A high precision score would mean that of everyone who flagged as a match you had relatively few who were not actual shoplifters.
• Recall (true positive rate) which is the % of correctly identified positives divided by all actual positives. A high recall score measures how many shoplifters you caught and would minimize false negatives, but at the cost of more false positives.

So in the case of classification of shoplifters ideally you would focus on Precision as false positives are undesired, but if a company doesn't care about false positives as much as getting the shoplifters they'd focus on Recall. In either event, Accuracy is a poor metric to use or advertise in an imbalanced data set like shoplifting as most customers are not shoplifters so even if the model didn't classify anyone as a shoplifter they'd still be 99+% accurate.