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PoEM Training Dataset

Path: training dataset/*

Tips: The corresponding relationship between the number of nodes and the number of training samples is 1000 times. For example, the model of 10 nodes is trained with 10,000 training samples.

Explanation of each index:

Name Feature Explanation Type
CPR Content Provider a unique name to identify nodes class feature
Label label 1 means this CPR being selected as block producer, otherwise 0 1/0
CT CPU Time the CPU execution time required by running the consensus algorithm numerical feature
UM Percentage of Used Memory the percentage of free storage space of the blockchain node numerical feature
NC The Number of Cores the number of cores in the CPU chips of the blockchain node numerical feature
CS Cache Size the percentage of cache space remaining numerical feature
PC Power Consumption the energy required to support the consensus algorithm(KWH) numerical feature
CP Computing Power the computing power of a blockchain node(FLOPS) numerical feature
T Join Date the time when a node joins the blockchain system numerical feature
PB The Number of Producing Blocks the number of blocks produced by this node so far numerical feature
AV Availability the availability of a node numerical feature
SRBP Success Rate of Producing Blocks the success rate of nodes producing blocks numerical feature
ATPB Average Time for Producing Blocks the average block producing time numerical feature
RE Reliability the reliability of a node numerical feature
TG Time Generated the time of content generation numerical feature
CH Content Hash the hash value of content([0,99]) class feature
CTS Content Size the size of content([0,2]) class feature

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