Exact(3)
The data is tested using the Hadoop ecosystem for future planning and efficient usage of the energy in an IoT environment.
Once the model is built, the data is tested taking the BER, SNR, and data rate as inputs.
The same classifier trained on 90%% of the data is tested again with data from the left out CD (heterogeneous test).
Similar(57)
Normality of the data was tested with Shapiron-Wilk test.
Normal distribution of the data was tested with Shapiro-Wilk normality test.
Normal distribution of the data was tested using Kolmogorov Smirnov test.
The residuals of the bCRK vs vCRK split in the data were tested for normality using Shapiro's test.
The data are tested this way and that, and the conclusion stands up.
Variability of the data was tested with a modification of the Brown Forsythe test of homoscedasticity.
If the data were tested, most would reveal significant inconsistencies in quality.
Before performing the statistical tests, the data were tested for normality by the Shapiro-Wilk test.
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