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Journal of Big Data

Table 11 Kolmogorov–Smirnov Test—results

From: Is bigger always better? A controversial journey to the center of machine learning design, with uses and misuses of big data for predicting water meter failures

Test

p-value

\(\alpha\) = 0.05

\(\alpha\) = 0.01

KS (1,2)

< 10−5

Reject

Reject

KS (2,3)

0.24

Fail to reject

Fail to reject

KS (1,3)

< 10−5

Reject

Reject

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