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Exact(29)
In all 186 test cases, three cases were wrongly classified by two or more classifiers on majority voting.
Of the violent offences, including rape, that had been written off as "no crime" by the force, just under a fifth were wrongly classified and should have been pursued, inspectors found.HMIC examined 66 recorded crimes of rape, violence and robbery that South Yorkshire police had recorded as no-crime but found that 11 of these – equal to 17% – were incorrectly classified.
Even five years ago, to question the program or to ask if too many students were wrongly classified was to stand accused of being callous, of trying to revert to the 1960's, when some state laws deemed disabled children uneducable.
Uber was last year hit by an employment tribunal ruling that its drivers were wrongly classified as self-employed and should be classed as "workers", a status that would grant them rights to sick pay, holiday pay and a guarantee of the national minimum wage.
Advocates for low-wage workers have pushed for this change, asserting that home care workers, who care for elderly and disabled Americans, were wrongly classified into the same "companionship services" category as baby sitters — a group that is exempt from minimum wage and overtime coverage.
Of those, three were wrongly classified.
Similar(31)
In all 210 test cases, only one case was wrongly classified by two classifiers on majority voting.
In the former approach, we identify instances from the training corpus that are wrongly classified according to the test corpus and train a new classifier after removing such misleading instances.
Also staff are wrongly classified as apprentices.
Because of that and her titles, her books have occasionally been wrongly classified as mysteries.
* Employees are wrongly classified as volunteers and therefore not entitled to the minimum wage.
More suggestions(15)
were wrongly attributed
were mistakenly classified
were wrongly identified
were wrongfully classified
were improperly classified
were falsely classified
were wrongly interpreted
become wrongly classified
were wrongly considered
were wrongly labeled
were wrongly credited
were wrongly interned
were wrongly sold
were wrongly ascribed
were wrongly referred
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com