ecg
ltstdb_20221_43.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  ecg  filename:  ltstdb_20221_43.pkl  f-beta (no compensation):  0.1476014405488968  beta:  1.0
21
21
ecg
chfdb_chf01_275.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  ecg  filename:  chfdb_chf01_275.pkl  f-beta (no compensation):  0.5706940293312073  beta:  1.0
492
492
ecg
chfdb_chf13_45590.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  ecg  filename:  chfdb_chf13_45590.pkl  f-beta (no compensation):  0.5185185074806213  beta:  1.0
378
378
ecg
chfdbchf15.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  ecg  filename:  chfdbchf15.pkl  f-beta (no compensation):  0.10778440535068512  beta:  1.0
783
783
ecg
ltstdb_20321_240.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  ecg  filename:  ltstdb_20321_240.pkl  f-beta (no compensation):  0.3794211745262146  beta:  1.0
402
402
ecg
mitdb__100_180.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  ecg  filename:  mitdb__100_180.pkl  f-beta (no compensation):  0.17254897952079773  beta:  1.0
206
206
ecg
xmitdb_x108_0.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  ecg  filename:  xmitdb_x108_0.pkl  f-beta (no compensation):  0.29436320066452026  beta:  1.0
18
18
ecg
stdb_308_0.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  ecg  filename:  stdb_308_0.pkl  f-beta (no compensation):  0.18061500787734985  beta:  1.0
277
277
respiration
nprs43.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  respiration  filename:  nprs43.pkl  f-beta (no compensation):  0.3100960850715637  beta:  1.0
455
455
ecg
qtdbsel102.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  ecg  filename:  qtdbsel102.pkl  f-beta (no compensation):  0.13859272003173828  beta:  1.0
283
283
space_shuttle
TEK17.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  space_shuttle  filename:  TEK17.pkl  f-beta (no compensation):  0.15686270594596863  beta:  1.0
342
342
space_shuttle
TEK16.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  space_shuttle  filename:  TEK16.pkl  f-beta (no compensation):  0.623762309551239  beta:  1.0
621
621
space_shuttle
TEK14.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  space_shuttle  filename:  TEK14.pkl  f-beta (no compensation):  0.28334861993789673  beta:  1.0
21
21
gesture
ann_gun_CentroidA.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  gesture  filename:  ann_gun_CentroidA.pkl  f-beta (no compensation):  0.5510203838348389  beta:  1.0
314
314
respiration
nprs44.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  respiration  filename:  nprs44.pkl  f-beta (no compensation):  0.2781810760498047  beta:  1.0
485
485
nyc_taxi
nyc_taxi.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  nyc_taxi  filename:  nyc_taxi.pkl  f-beta (no compensation):  0.03698739781975746  beta:  1.0
26
26
power_demand
power_data.pkl
100
=> loading pre-calculated mean and covariance
=> calculating precision, recall, and f_beta
data:  power_demand  filename:  power_data.pkl  f-beta (no compensation):  0.16070064902305603  beta:  1.0
14
14
