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As (text {Macro-F}_1) score computes an average over classes while Hamming and ({text {Micro-F}}_1) scores get the average over all testing nodes, the result may indicate that our algorithms get more accurate results over different classes in the imbalanced IMDb dataset.
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The resultant models were then used to infer the t of the testing node from its s estimate.
The results for all test nodes are assembled in Supplementary Tables S4 (key nodes) and Supplementary Tables S5 (order nodes).
Parsimony results for our test nodes and the morphological data contributed by each species of our tree are shown in Fig. S1.
This equilibrium is possible for all our test nodes under the higher test rates, whether or not the value of the transition rate affects which state is the most probable.
Each time, we consider no interference from the residual testbed nodes within proximity.
Those definitions are then translated into run-time instructions sent to testbed nodes when experiments are on-going.
Both transmit and receive testbed nodes (see Fig. 4) have a quad dual-band front-end from Lyrtech, Inc. [28].
In these tests, nodes virtually situated more than 1-hop away are also able to send traffic to the destination node thanks to the routing protocol.
As explained in [24, 25], both transmit and receive testbed nodes are equipped with a Quad Dual-Band front-end from Lyrtech, Inc [26].
The obtained PL values have been compared with the prediction and with the path loss values PLtestbed measured by the testbed nodes themselves.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com