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Datasets:
AutonLab
/
Timeseries-PILE

Tasks:
Time Series Forecasting
ArXiv:
Tags:
time-series
forecasting
License:
Dataset card Files Community
2
KonradSzafer commited on
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1 Parent(s): 46b9054

57be97ca1b4f64f71d9aced1f71a2272e674401764bab3af0f24b2100ec87a94

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  1. .gitattributes +13 -0
  2. classification/UCR/MiddlePhalanxTW/MiddlePhalanxTW_TEST.ts +0 -0
  3. classification/UCR/MiddlePhalanxTW/MiddlePhalanxTW_TRAIN.ts +0 -0
  4. classification/UCR/MixedShapesRegularTrain/MixedShapesRegularTrain_TEST.ts +3 -0
  5. classification/UCR/MixedShapesRegularTrain/MixedShapesRegularTrain_TRAIN.ts +0 -0
  6. classification/UCR/MixedShapesSmallTrain/MixedShapesSmallTrain_TEST.ts +3 -0
  7. classification/UCR/MixedShapesSmallTrain/MixedShapesSmallTrain_TRAIN.ts +0 -0
  8. classification/UCR/MoteStrain/MoteStrain_TEST.ts +0 -0
  9. classification/UCR/MoteStrain/MoteStrain_TRAIN.ts +35 -0
  10. classification/UCR/MotorImagery/MotorImagery_TEST.ts +3 -0
  11. classification/UCR/MotorImagery/MotorImagery_TRAIN.ts +3 -0
  12. classification/UCR/NATOPS/NATOPS_TEST.ts +0 -0
  13. classification/UCR/NATOPS/NATOPS_TRAIN.ts +0 -0
  14. classification/UCR/NonInvasiveFetalECGThorax1/NonInvasiveFetalECGThorax1_TEST.ts +3 -0
  15. classification/UCR/NonInvasiveFetalECGThorax1/NonInvasiveFetalECGThorax1_TRAIN.ts +3 -0
  16. classification/UCR/NonInvasiveFetalECGThorax2/NonInvasiveFetalECGThorax2_TEST.ts +3 -0
  17. classification/UCR/NonInvasiveFetalECGThorax2/NonInvasiveFetalECGThorax2_TRAIN.ts +3 -0
  18. classification/UCR/OSULeaf/OSULeaf_TEST.ts +0 -0
  19. classification/UCR/OSULeaf/OSULeaf_TRAIN.ts +0 -0
  20. classification/UCR/OliveOil/OliveOil_TEST.ts +0 -0
  21. classification/UCR/OliveOil/OliveOil_TRAIN.ts +0 -0
  22. classification/UCR/PEMS-SF/PEMS-SF_TEST.ts +3 -0
  23. classification/UCR/PEMS-SF/PEMS-SF_TRAIN.ts +3 -0
  24. classification/UCR/PLAID/PLAID_TEST.ts +0 -0
  25. classification/UCR/PLAID/PLAID_TRAIN.ts +0 -0
  26. classification/UCR/PenDigits/PenDigits_TEST.ts +0 -0
  27. classification/UCR/PenDigits/PenDigits_TRAIN.ts +0 -0
  28. classification/UCR/PhalangesOutlinesCorrect/PhalangesOutlinesCorrect_TEST.ts +0 -0
  29. classification/UCR/PhalangesOutlinesCorrect/PhalangesOutlinesCorrect_TRAIN.ts +0 -0
  30. classification/UCR/Phoneme/Phoneme_TEST.ts +3 -0
  31. classification/UCR/Phoneme/Phoneme_TRAIN.ts +0 -0
  32. classification/UCR/PhonemeSpectra/PhonemeSpectra_TEST.ts +3 -0
  33. classification/UCR/PhonemeSpectra/PhonemeSpectra_TRAIN.ts +3 -0
  34. classification/UCR/PickupGestureWiimoteZ/PickupGestureWiimoteZ_TEST.ts +163 -0
  35. classification/UCR/PickupGestureWiimoteZ/PickupGestureWiimoteZ_TRAIN.ts +163 -0
  36. classification/UCR/PigAirwayPressure/PigAirwayPressure_TEST.ts +0 -0
  37. classification/UCR/PigAirwayPressure/PigAirwayPressure_TRAIN.ts +0 -0
  38. classification/UCR/PigArtPressure/PigArtPressure_TEST.ts +0 -0
  39. classification/UCR/PigArtPressure/PigArtPressure_TRAIN.ts +0 -0
  40. classification/UCR/PigCVP/PigCVP_TEST.ts +0 -0
  41. classification/UCR/PigCVP/PigCVP_TRAIN.ts +0 -0
  42. classification/UCR/Plane/Plane_TEST.ts +0 -0
  43. classification/UCR/Plane/Plane_TRAIN.ts +0 -0
  44. classification/UCR/PowerCons/PowerCons_TEST.ts +0 -0
  45. classification/UCR/PowerCons/PowerCons_TRAIN.ts +0 -0
  46. classification/UCR/ProximalPhalanxOutlineAgeGroup/ProximalPhalanxOutlineAgeGroup_TEST.ts +0 -0
  47. classification/UCR/ProximalPhalanxOutlineAgeGroup/ProximalPhalanxOutlineAgeGroup_TRAIN.ts +0 -0
  48. classification/UCR/ProximalPhalanxOutlineCorrect/ProximalPhalanxOutlineCorrect_TEST.ts +0 -0
  49. classification/UCR/ProximalPhalanxOutlineCorrect/ProximalPhalanxOutlineCorrect_TRAIN.ts +0 -0
  50. classification/UCR/ProximalPhalanxTW/ProximalPhalanxTW_TEST.ts +0 -0
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  classification/UCR/InsectWingbeat/InsectWingbeat_TEST.ts filter=lfs diff=lfs merge=lfs -text
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  classification/UCR/InsectWingbeat/InsectWingbeat_TRAIN.ts filter=lfs diff=lfs merge=lfs -text
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  classification/UCR/Mallat/Mallat_TEST.ts filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  classification/UCR/Mallat/Mallat_TEST.ts filter=lfs diff=lfs merge=lfs -text
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+ #Sensor data originally from Carlos Guestrin (CMU),used in the paper
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+ #<em>Online Latent Variable Detection in Sensor Networks</em> and
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+ #formatted for classification by Eamonn Keogh. The task is to
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+ #distinguish between sensor q8calibHumid (a humidity measure) and
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+ #sensor q8calibHumTemp (temperature). The data has dropouts. In the
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+ #original data the dropouts have value 0. This means they are
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+ #difficult to detect with normalised data.
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+ @problemName MoteStrain
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+ @timeStamps false
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classification/UCR/PickupGestureWiimoteZ/PickupGestureWiimoteZ_TEST.ts ADDED
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+ ## GestureWiimote
2
+ #
3
+ #The original data include 10 subjects, each perform 10 gestures 10 times. The gesture acquisition device is a Nintendo Wiimote remote controller with built-in three-axis accelerometer. Time series are of different lengths. There is no missing values.
4
+ #
5
+ #The gestures are (class label. original label - English translation):
6
+ #1. poteg – pick-up
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+ #2. shake – shake
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+ #3. desno – one move to the right
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+ #4. levo – one move to the left
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+ #5. gor – one move to up
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+ #6. dol – one move to down
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+ #7. kroglevo – one left circle
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+ #8. krogdesno – one right circle
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+ #9. suneknot – one move toward the screen
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+ #10. sunekven – one move away from the screen
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+ #
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+ #We make five datasets out of these data.
18
+ #
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+ ### AllGestureWiimoteX
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+ #
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+ #Data is acceleration in x-axis dimension. Each subject performs a set of gestures multiple times. Classes are based on gestures (see class labels above).
22
+ #
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+ #- Train size: 300
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+ #
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+ #- Test size: 700
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+ #
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+ #- Missing value: No
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+ #
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+ #- Number of classses: 10
30
+ #
31
+ #- Time series length: Vary
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+ #
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+ #Each time series is padded with NaN to the length of the longest time series in the dataset.
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+ #
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+ ### AllGestureWiimoteY
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+ #
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+ #Data is acceleration in y-axis dimension. Each subject performs a set of gestures multiple times. Classes are based on gestures (see class labels above).
38
+ #
39
+ #- Train size: 300
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+ #
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+ #- Test size: 700
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+ #
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+ #- Missing value: No
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+ #
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+ #- Number of classses: 10
46
+ #
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+ #- Time series length: Vary
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+ #
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+ #Each time series is padded with NaN to the length of the longest time series in the dataset.
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+ #
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+ ### AllGestureWiimoteZ
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+ #
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+ #Data is acceleration in z-axis dimension. Classes are based on gestures (see class labels above).
54
+ #
55
+ #- Train size: 300
56
+ #
57
+ #- Test size: 700
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+ #
59
+ #- Missing value: No
60
+ #
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+ #- Number of classses: 10
62
+ #
63
+ #- Time series length: Vary
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+ #
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+ #Each time series is padded with NaN to the length of the longest time series in the dataset.
66
+ #
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+ ### PickupGestureWiimoteZ
68
+ #
69
+ #Data is acceleration in z-axis dimension. Each subject performs "pick-up" gesture multiple times. Classes are based on subject.
70
+ #
71
+ #- Train size: 50
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+ #
73
+ #- Test size: 50
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+ #
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+ #- Missing value: No
76
+ #
77
+ #- Number of classses: 10
78
+ #
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+ #- Time series length: Vary
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+ #
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+ #Each time series is padded with NaN to the length of the longest time series in the dataset.
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+ #
83
+ ### ShakeGestureWiimoteZ
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+ #
85
+ #Data is acceleration in z-axis dimension. Each subject performs "shake" gesture multiple times. Classes are based on subject.
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+ #
87
+ #- Train size: 50
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+ #
89
+ #- Test size: 50
90
+ #
91
+ #- Missing value: No
92
+ #
93
+ #- Number of classses: 10
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+ #
95
+ #- Time series length: Vary
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+ #
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+ #There is nothing to infer from the order of examples in the train and test set.
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+ #
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+ #Each time series is padded with NaN to the length of the longest time series in the dataset.
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+ #
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+ #Data are shuffled and randomly sampled so that instances across datasets do not sychronized by dimension or subject.
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+ #
103
+ #Data created by Guna Jože et al. (see [1]). Data edited by Hoang Anh Dau.
104
+ #
105
+ #[1] Guna, Jože, Iztok Humar, and Matevž Pogačnik. "Intuitive gesture based user identification system." Telecommunications and Signal Processing (TSP), 2012 35th International Conference on. IEEE, 2012.
106
+ #
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+ @problemName PickupGestureWiimoteZ
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+ @timeStamps false
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+ @missing false
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+ @univariate true
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+ @equalLength false
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+ @classLabel true 1 2 3 4 5 6 7 8 9 10
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120
+ 0.885,0.962,1.0,1.0,0.962,0.962,0.962,0.962,0.962,0.962,1.0,0.923,0.962,0.962,0.923,0.923,1.0,0.923,0.923,0.923,0.962,0.885,0.962,0.885,0.885,0.885,0.846,0.769,0.846,0.808,0.808,0.769,0.808,0.769,0.692,0.654,0.654,0.654,0.615,0.538,0.615,0.615,0.423,0.423,0.346,0.231,0.423,0.385,0.846,0.846,0.846,1.0,1.038,1.0,0.962,1.077,1.077,1.231,1.385,1.5,1.5,1.346,1.154,1.154,1.0,0.885,0.808,0.769,0.808,0.846,0.846,0.731,0.615,0.692,0.731,0.692,0.692,0.615,0.423,0.346,0.423,0.5,0.462,0.462,0.346,0.346,0.269,0.192,0.192,0.192,0.154,0.154,0.154,0.192,0.192,0.308,0.423,0.538,0.615,0.615,0.692,0.692,0.692,0.731,0.731,0.692,0.615,0.654,0.654,0.692,0.808,0.923,0.962,1.0,1.0,1.077,1.115,1.115,1.038,1.115,1.346,1.654,1.654,2.038,2.385,2.5,2.462,2.269,2.269,1.962,1.577,1.269,0.962,0.769,0.692,0.692,0.654,0.654,0.654,0.692,0.692,0.692,0.692,0.692,0.654,0.654,0.692,0.731,0.808,0.885,0.962,0.962,1.038,1.077,1.154,1.192:2
121
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122
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123
+ 0.962,0.962,1.0,1.038,1.0,0.962,0.923,0.962,0.962,0.962,0.962,1.0,0.962,0.923,0.923,1.0,1.0,1.0,0.962,0.962,1.0,1.0,0.962,0.962,0.962,0.962,0.962,0.962,0.962,0.962,0.962,0.962,0.962,0.962,0.923,0.885,0.885,0.885,0.885,0.923,0.923,0.923,0.923,0.962,0.923,0.923,0.885,0.923,0.885,0.846,0.846,0.846,0.808,0.808,0.769,0.769,0.769,0.731,0.692,0.654,0.654,0.615,0.769,0.769,0.615,0.808,0.577,0.577,0.769,0.769,0.846,0.846,1.077,1.192,0.962,0.962,0.769,0.731,0.769,0.769,0.885,0.885,1.0,1.115,1.154,1.385,1.808,1.808,1.192,1.385,1.077,1.231,1.308,1.462,1.462,1.5,1.385,1.192,1.077,1.077,0.846,0.692,0.615,0.538,0.423,0.423,0.308,0.346,0.346,0.462,0.462,0.423,0.423,0.231,0.0,-0.077,-0.038,0.077,0.077,0.192,0.269,0.308,0.577,0.462,0.462,0.346,0.231,0.115,0.115,0.154,0.154,0.269,0.154,0.154,-0.308,-0.308,-0.308,-0.154,0.192,0.538,0.769,0.808,0.769,0.769,0.769,0.923,1.154,1.615,2.115,2.115,2.462,2.538,2.462,2.308,2.192,2.192,2.192,2.269,2.269,2.269,2.115,1.846,1.846,1.577,1.346,1.192,1.115,1.077,1.077,1.077,1.077,1.077,1.077,1.038,1.038,1.0,0.962,0.885,0.846,0.846,0.846,0.808,0.808,0.769,0.962,0.962,1.038,1.0,0.923:2
124
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125
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126
+ 1.038,1.038,1.192,1.192,1.346,1.346,1.346,1.346,1.385,1.269,1.269,1.115,1.0,0.962,1.0,1.0,0.962,0.962,0.962,0.962,0.923,0.923,0.923,0.808,0.731,0.731,0.692,0.692,0.692,0.731,0.769,0.769,0.769,0.731,0.731,0.769,0.846,0.846,0.846,0.808,0.731,0.692,0.654,0.654,0.654,0.615,0.654,0.577,0.577,0.462,0.423,0.462,0.423,0.385,0.423,0.5,0.5,0.577,0.654,0.615,0.615,0.615,0.654,0.654,0.692,0.769,0.769,0.731,0.692,0.731,0.769,0.769,0.769,0.769,0.769,0.731,0.731,0.731,0.769,0.769,0.808,0.808,0.846,0.846,0.769,0.769:3
127
+ 1.038,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.962,1.0,1.038,1.038,1.0,1.0,1.0,1.0,0.962,0.962,0.962,0.962,1.0,1.0,1.0,1.038,1.038,1.038,1.077,1.115,1.038,1.038,1.038,1.077,1.115,1.423,1.423,1.423,1.385,1.423,1.385,1.346,1.346,1.308,1.308,1.308,1.308,1.192,1.154,1.154,1.115,1.0,0.962,0.962,0.923,0.885,0.885,0.846,0.769,0.692,0.692,0.692,0.692,0.654,0.654,0.654,0.615,0.615,0.654,0.615,0.615,0.654,0.615,0.615,0.692,0.731,0.615,0.615,0.462,0.346,0.308,0.423,0.5,0.538,0.538,0.577,0.615,0.577,0.577,0.577,0.577,0.538,0.538,0.5,0.5,0.423,0.385,0.462,0.538,0.5,0.5,0.423,0.385,0.346,0.269,0.269,0.269,0.308,0.423,0.462,0.462,0.462,0.5,0.538,0.5,0.423:3
128
+ 1.0,1.0,1.0,1.0,1.0,1.0,1.115,1.154,1.192,1.269,1.269,1.346,1.462,1.577,1.615,1.615,1.615,1.615,1.577,1.615,1.577,1.5,1.462,1.346,1.269,1.269,1.154,1.038,1.0,1.0,0.962,0.846,0.846,0.769,0.692,0.731,0.731,0.654,0.5,0.423,0.423,0.423,0.385,0.385,0.385,0.385,0.5,0.5,0.577,0.615,0.577,0.615,0.615,0.654,0.654,0.654,0.692,0.769,0.808,0.808,0.808,0.769,0.808,0.769,0.769,0.808,0.846,0.846,0.885,0.885,0.885,0.923,0.962,0.962,0.962,0.923,0.885,0.885,0.885,0.923,0.923,0.923,0.962,1.0,1.038,1.0,0.962,0.962,0.923,0.962,0.962,1.077,1.115,1.077,1.077,0.885:3
129
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130
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136
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138
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139
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140
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141
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142
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158
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159
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160
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161
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163
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classification/UCR/PickupGestureWiimoteZ/PickupGestureWiimoteZ_TRAIN.ts ADDED
@@ -0,0 +1,163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ## GestureWiimote
2
+ #
3
+ #The original data include 10 subjects, each perform 10 gestures 10 times. The gesture acquisition device is a Nintendo Wiimote remote controller with built-in three-axis accelerometer. Time series are of different lengths. There is no missing values.
4
+ #
5
+ #The gestures are (class label. original label - English translation):
6
+ #1. poteg – pick-up
7
+ #2. shake – shake
8
+ #3. desno – one move to the right
9
+ #4. levo – one move to the left
10
+ #5. gor – one move to up
11
+ #6. dol – one move to down
12
+ #7. kroglevo – one left circle
13
+ #8. krogdesno – one right circle
14
+ #9. suneknot – one move toward the screen
15
+ #10. sunekven – one move away from the screen
16
+ #
17
+ #We make five datasets out of these data.
18
+ #
19
+ ### AllGestureWiimoteX
20
+ #
21
+ #Data is acceleration in x-axis dimension. Each subject performs a set of gestures multiple times. Classes are based on gestures (see class labels above).
22
+ #
23
+ #- Train size: 300
24
+ #
25
+ #- Test size: 700
26
+ #
27
+ #- Missing value: No
28
+ #
29
+ #- Number of classses: 10
30
+ #
31
+ #- Time series length: Vary
32
+ #
33
+ #Each time series is padded with NaN to the length of the longest time series in the dataset.
34
+ #
35
+ ### AllGestureWiimoteY
36
+ #
37
+ #Data is acceleration in y-axis dimension. Each subject performs a set of gestures multiple times. Classes are based on gestures (see class labels above).
38
+ #
39
+ #- Train size: 300
40
+ #
41
+ #- Test size: 700
42
+ #
43
+ #- Missing value: No
44
+ #
45
+ #- Number of classses: 10
46
+ #
47
+ #- Time series length: Vary
48
+ #
49
+ #Each time series is padded with NaN to the length of the longest time series in the dataset.
50
+ #
51
+ ### AllGestureWiimoteZ
52
+ #
53
+ #Data is acceleration in z-axis dimension. Classes are based on gestures (see class labels above).
54
+ #
55
+ #- Train size: 300
56
+ #
57
+ #- Test size: 700
58
+ #
59
+ #- Missing value: No
60
+ #
61
+ #- Number of classses: 10
62
+ #
63
+ #- Time series length: Vary
64
+ #
65
+ #Each time series is padded with NaN to the length of the longest time series in the dataset.
66
+ #
67
+ ### PickupGestureWiimoteZ
68
+ #
69
+ #Data is acceleration in z-axis dimension. Each subject performs "pick-up" gesture multiple times. Classes are based on subject.
70
+ #
71
+ #- Train size: 50
72
+ #
73
+ #- Test size: 50
74
+ #
75
+ #- Missing value: No
76
+ #
77
+ #- Number of classses: 10
78
+ #
79
+ #- Time series length: Vary
80
+ #
81
+ #Each time series is padded with NaN to the length of the longest time series in the dataset.
82
+ #
83
+ ### ShakeGestureWiimoteZ
84
+ #
85
+ #Data is acceleration in z-axis dimension. Each subject performs "shake" gesture multiple times. Classes are based on subject.
86
+ #
87
+ #- Train size: 50
88
+ #
89
+ #- Test size: 50
90
+ #
91
+ #- Missing value: No
92
+ #
93
+ #- Number of classses: 10
94
+ #
95
+ #- Time series length: Vary
96
+ #
97
+ #There is nothing to infer from the order of examples in the train and test set.
98
+ #
99
+ #Each time series is padded with NaN to the length of the longest time series in the dataset.
100
+ #
101
+ #Data are shuffled and randomly sampled so that instances across datasets do not sychronized by dimension or subject.
102
+ #
103
+ #Data created by Guna Jože et al. (see [1]). Data edited by Hoang Anh Dau.
104
+ #
105
+ #[1] Guna, Jože, Iztok Humar, and Matevž Pogačnik. "Intuitive gesture based user identification system." Telecommunications and Signal Processing (TSP), 2012 35th International Conference on. IEEE, 2012.
106
+ #
107
+ @problemName PickupGestureWiimoteZ
108
+ @timeStamps false
109
+ @missing false
110
+ @univariate true
111
+ @equalLength false
112
+ @classLabel true 1 2 3 4 5 6 7 8 9 10
113
+ @data
114
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120
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121
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122
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123
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124
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125
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126
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127
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128
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129
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130
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131
+ 1.0,0.808,0.923,0.962,1.0,1.0,1.0,1.0,0.962,0.962,0.962,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.962,0.962,0.962,0.962,0.962,0.962,0.962,0.962,0.962,0.962,1.0,1.0,1.0,1.038,1.0,1.0,1.0,1.0,1.0,0.962,0.962,0.962,0.962,0.962,0.962,0.962,1.0,0.962,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.962,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.962,0.962,0.962,0.962,1.0,1.0,1.0,0.962,0.962,0.962,0.962,0.962,1.0,0.962,0.962,0.962,1.0,0.962,1.038,1.0,1.0,1.0,1.038,1.038,1.038,1.038,1.038,1.115,1.115,1.192,1.038,0.962,1.077,1.385,1.385,1.538,1.538,1.538,1.462,1.385,1.385,1.308,1.231,1.192,1.192,1.192,1.077,1.077,1.0,0.962,1.0,1.038,1.077,1.077,1.0,0.885,0.769,0.615,0.538,0.538,0.538,0.538,0.538,0.538,0.538,0.538,0.538,0.577,0.577,0.615,0.615,0.577,0.577,0.538,0.538,0.577,0.615,0.615,0.615,0.615,0.615,0.615,0.577,0.577,0.538,0.5,0.5,0.538,0.615,0.692,0.769,0.808,0.769,0.769,0.654,0.615,0.615,0.654,0.731,0.731,0.769,0.692,0.538,0.462,0.462,0.462,0.577,0.731,0.885,1.038,1.115,1.115,1.115,1.038,0.846,0.731:4
132
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133
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147
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162
+ 0.308,0.308,0.192,0.115,0.115,0.154,0.231,0.308,0.269,0.192,0.192,0.231,0.231,0.269,0.308,0.346,0.346,0.346,0.346,0.538,0.462,0.538,0.538,0.538,0.538,0.462,0.462,0.462,0.346,0.346,0.346,0.423,0.385,0.385,0.385,0.385,0.385,0.308,0.269,0.231,0.269,0.269,0.269,0.308,0.308,0.308,0.308,0.269,0.269,0.269,0.269,0.269,0.269,0.269,0.269,0.308,0.308,0.346,0.385,0.385,0.346,0.269,0.192,0.192,0.192,0.192,0.192,0.231,0.192,0.192,0.192,0.192,0.192,0.231,0.269,0.308,0.346,0.346,0.385,0.423,0.346,0.308,0.231,0.231,0.269,0.308,0.385,0.462,0.5,0.5,0.5,0.462,0.462,0.462,0.5,0.5,0.577,0.692,0.846,0.962,1.0,1.0,1.0,0.962,0.885,0.808,0.731,0.654,0.654,0.654,0.654,0.654,0.692:10
163
+ 0.0,0.038,0.038,0.0,0.038,0.077,0.077,0.077,0.115,0.115,0.115,0.077,0.077,0.0,0.0,-0.038,-0.038,0.115,0.192,0.308,0.346,0.269,0.192,0.192,0.115,0.077,0.115,0.154,0.192,0.192,0.231,0.269,0.269,0.308,0.346,0.346,0.346,0.346,0.269,0.269,0.154,0.154,0.192,0.269,0.385,0.385,0.462,0.5,0.538,0.5,0.423,0.423,0.269,0.115,0.038,0.038,0.154,0.154,0.192,0.231,0.154,0.077,0.0,0.0,0.0,0.038,0.115,0.192,0.231,0.269,0.269,0.269,0.269,0.269,0.269,0.346,0.346,0.423,0.423,0.423,0.385,0.346,0.346,0.346,0.346,0.423,0.577,0.846,0.846,1.115,1.308,1.385,1.269,1.077,1.077,0.885,0.769,0.692,0.692,0.731,0.731,0.769,0.769,0.769,0.769,0.731,0.731,0.731,0.769,0.769,0.885,0.962,1.0,1.038,1.0,1.0,0.962,0.923,0.885,0.885,0.846,0.846,0.846,0.885,0.846,0.846,0.846,0.846,0.846,0.885,0.885:10
classification/UCR/PigAirwayPressure/PigAirwayPressure_TEST.ts ADDED
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classification/UCR/PigAirwayPressure/PigAirwayPressure_TRAIN.ts ADDED
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classification/UCR/PigArtPressure/PigArtPressure_TEST.ts ADDED
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classification/UCR/PigArtPressure/PigArtPressure_TRAIN.ts ADDED
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classification/UCR/PigCVP/PigCVP_TEST.ts ADDED
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classification/UCR/PigCVP/PigCVP_TRAIN.ts ADDED
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classification/UCR/Plane/Plane_TEST.ts ADDED
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classification/UCR/Plane/Plane_TRAIN.ts ADDED
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classification/UCR/PowerCons/PowerCons_TEST.ts ADDED
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classification/UCR/PowerCons/PowerCons_TRAIN.ts ADDED
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classification/UCR/ProximalPhalanxOutlineAgeGroup/ProximalPhalanxOutlineAgeGroup_TEST.ts ADDED
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classification/UCR/ProximalPhalanxOutlineAgeGroup/ProximalPhalanxOutlineAgeGroup_TRAIN.ts ADDED
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classification/UCR/ProximalPhalanxOutlineCorrect/ProximalPhalanxOutlineCorrect_TEST.ts ADDED
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classification/UCR/ProximalPhalanxOutlineCorrect/ProximalPhalanxOutlineCorrect_TRAIN.ts ADDED
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classification/UCR/ProximalPhalanxTW/ProximalPhalanxTW_TEST.ts ADDED
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