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Table 4 Sample feature data

From: Detecting malicious accounts in permissionless blockchains using temporal graph properties

tsfresh identified Feature names (as used in code) # Features Value
59 36
  indegreeTimeInv − 0.0086
  outdegreeTimeInv   − 0.0178
  degreeTimeInv   − 0.0128
  numberOfburstTemporalInOut   − 0.0045
  longestBurstTemporalInOut   − 0.1089
  numberOfburstTemporalIn − 0.0035
  longestBurstTemporalIn − 0.0375
  numberOfburstTemporalOut − 0.0079
  longestBurstTemporalOut − 0.1289
  numberOfburstDegreeInOut   − 0.0077
  longestBurstDegreeInOutAtTime   − 0.0728
  numberOfburstDegreeIn − 0.0062
  longestBurstDegreeInAtTime − 0.047
  numberOfburstDegreeOut − 0.0074
  longestBurstDegreeOutAtTime − 0.0569
  zeroTransactions 0.0
  totalBal − 8.6e−5
  transactedFirst − 0.1942
  transactedLast − 0.8879
  activeDuration   − 0.3908
  averagePerInBal   − 0.0222
  uniqueIn − 0.0061
  lastActiveSince 0.0
indegree__index_mass_quantile__q_0.1 0.3977
indegree__energy_ratio_by_chunks_num_segments_10__segment_focus_0   − 0.3957
indegree__linear_trend__attr_“pvalue” 1.1364
ittime__quantile__q_0.7 − 0.2804
ittime__fft_coefficient__coeff_0__attr_“real” − 0.3908
ittime__median   − 0.2861
outdegree__energy_ratio_by_chunks__num_segments_10__segment_focus_0 − 0.4218
outdegree__enegy_ratio_by_chunks__num_segments_10__segment_focus_1 0.9724
outdegree__fft_coefficient__coeff_0__attr_“real” − 0.0178
gasPrice__quantile__q_0.2   − 0.3171
gasPrice__quantile__q_0.1 − 0.3036
gasPrice__cwt_coefficients__widths_(2, 5,10, 20)__coeff_0__w_20 − 0.0015
attractiveness__median 0.7886
attractiveness__quantile__q_0.4   0.6248
attractiveness__mean   0.9815
balanceOut__quantile__q_0.1 − 0.0098
balanceOut__quantile__q_0.3   − 0.0118
balanceOut__cwt_coefficients__widths_(2, 5,10, 20)__coeff_0__w_2   − 0.0128
balanceIn__quantile__q_0.4 − 0.0189
balanceIn__cwt_coefficients__widths_(2, 5,10, 20)__coeff_0__w_20 − 0.0231
balanceIn__quantile__q_0.3   − 0.0183
maxInPayment__quantile__q_0.3   − 0.0188
maxInPayment__quantile__q_0.2   − 0.0183
maxInPayment__cwt_coefficients__widths_(2, 5, 10, 20)__coeff_0__w_5 − 0.0173
maxOutPayment__quantile__q_0.6   − 0.0162
maxOutPayment__quantile__q_0.1   − 0.0098
maxOutPayment__cwt_coefficients__widths_(2, 5, 10, 20)__coeff_0__w_2 − 0.0128
  clusteringCoeff − 0.0807
  burstCount_gasPrice   − 0.0091
  burstCount_balanceIn   − 0.1115
  burstCount_balanceOut   − 0.0073
  burstInstance_indegree − 0.0108
  burstInstance_outdegree − 0.0150
  burstInstance_maxInPayment − 0.1136
  burstInstance_maxOutPayment − 0.0073
  burstInstance_gasPrice − 0.0121