larsson_eval.json 9.9 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304
  1. {
  2. "FIX": {
  3. "F1": 0.7960102109773959,
  4. "FPR": 0.5376287204503251,
  5. "accuracy": 0.7198218081939126,
  6. "basic_statistics": {
  7. "detected": {
  8. "amplitude_deg": 0.8208769464817658,
  9. "count": 14563.0,
  10. "duration_ms": 377.0988869738378
  11. },
  12. "true": {
  13. "amplitude_deg": 0.6001975589341978,
  14. "count": 13461.0,
  15. "duration_ms": 330.1841050442018
  16. }
  17. },
  18. "episode_adjusted_Cohens_kappa": {
  19. "IoU>=0.8": {
  20. "kappa": 0.5256651006518559
  21. },
  22. "kappa": 0.49499187731949196
  23. },
  24. "episode_as_Hooge_et_al": {
  25. "F1": 0.8070002811357886,
  26. "IoU": 0.6551999465398949,
  27. "IoU>=0.5": {
  28. "F1": 0.6597554118639303,
  29. "IoU": 0.6130795154275239
  30. }
  31. },
  32. "episode_as_Hoppe_et_al": {
  33. "F1": 0.7881212494229881,
  34. "FPR": 0.28222979552093475,
  35. "accuracy": 0.8000464670519559,
  36. "confusion": {
  37. "FIX": 0.921687180594544,
  38. "NOISE": 0.0002879147772259411,
  39. "SACCADE": 0.0012236378032102497,
  40. "SP": 0.0762974159648744
  41. },
  42. "confusion-accuracy": 0.921687180594544,
  43. "kappa": 0.6062104716377111,
  44. "precision": 0.6883668422750242,
  45. "recall": 0.921687180594544,
  46. "sensitivity": 0.921687180594544,
  47. "specificity": 0.7177702044790653
  48. },
  49. "episode_as_Zemblys_et_al": {
  50. "IoU>=0.5": {
  51. "kappa": 0.5714874897987662
  52. },
  53. "kappa": 0.6255545759207242
  54. },
  55. "kappa": 0.35997017764489775,
  56. "normalised_Levenshtein": {
  57. "episode": 0.30591060650630203,
  58. "error_rate": 0.2801781918060874,
  59. "sample": 0.2768723987948006
  60. },
  61. "precision": 0.7308175032870853,
  62. "recall": 0.8739731434673517,
  63. "sensitivity": 0.8739731434673517,
  64. "specificity": 0.4623712795496749
  65. },
  66. "NOISE": {
  67. "F1": 0.7299681699925875,
  68. "FPR": 0.00411404074202625,
  69. "accuracy": 0.9797478095962724,
  70. "basic_statistics": {
  71. "detected": {
  72. "amplitude_deg": 0.8181132156433819,
  73. "count": 15010.0,
  74. "duration_ms": 15.17659600266489
  75. },
  76. "true": {
  77. "amplitude_deg": 7.0528901999723095,
  78. "count": 989.0,
  79. "duration_ms": 308.29700303336705
  80. }
  81. },
  82. "episode_adjusted_Cohens_kappa": {
  83. "IoU>=0.8": {
  84. "kappa": 0.057870477431348676
  85. },
  86. "kappa": 0.08565499901165305
  87. },
  88. "episode_as_Hooge_et_al": {
  89. "F1": 0.11902897415818324,
  90. "IoU": 0.6250893744499,
  91. "IoU>=0.5": {
  92. "F1": 0.09059695199084393,
  93. "IoU": 0.6197372677109118
  94. }
  95. },
  96. "episode_as_Hoppe_et_al": {
  97. "F1": 0.8478382930937676,
  98. "FPR": 0.0007477865518066523,
  99. "accuracy": 0.9921296430749572,
  100. "confusion": {
  101. "FIX": 0.052947052947052944,
  102. "NOISE": 0.7542457542457542,
  103. "SACCADE": 0.11788211788211789,
  104. "SP": 0.002997002997002997
  105. },
  106. "confusion-accuracy": 0.7542457542457542,
  107. "kappa": 0.8438624686228401,
  108. "precision": 0.967948717948718,
  109. "recall": 0.7542457542457542,
  110. "sensitivity": 0.7542457542457542,
  111. "specificity": 0.9992522134481934
  112. },
  113. "episode_as_Zemblys_et_al": {
  114. "IoU>=0.5": {
  115. "kappa": 0.05767880223011912
  116. },
  117. "kappa": 0.057072943491068284
  118. },
  119. "kappa": 0.7197452421810692,
  120. "normalised_Levenshtein": {
  121. "episode": 0.3463110408916198,
  122. "error_rate": 0.02025219040372756,
  123. "sample": 0.018327817406516674
  124. },
  125. "precision": 0.8743352047699874,
  126. "recall": 0.6265195506683217,
  127. "sensitivity": 0.6265195506683217,
  128. "specificity": 0.9958859592579737
  129. },
  130. "SACCADE": {
  131. "F1": 0.802607649307724,
  132. "FPR": 0.017356363585106373,
  133. "accuracy": 0.9646837509664047,
  134. "basic_statistics": {
  135. "detected": {
  136. "amplitude_deg": 6.375060506127358,
  137. "count": 13701.0,
  138. "duration_ms": 46.80899802934092
  139. },
  140. "true": {
  141. "amplitude_deg": 5.632335267070102,
  142. "count": 14182.0,
  143. "duration_ms": 47.0721699337188
  144. }
  145. },
  146. "episode_adjusted_Cohens_kappa": {
  147. "IoU>=0.8": {
  148. "kappa": 0.4764469064318608
  149. },
  150. "kappa": 0.8490527012996476
  151. },
  152. "episode_as_Hooge_et_al": {
  153. "F1": 0.8863019568633053,
  154. "IoU": 0.682169460476332,
  155. "IoU>=0.5": {
  156. "F1": 0.8519497214683617,
  157. "IoU": 0.6681186318215498
  158. }
  159. },
  160. "episode_as_Hoppe_et_al": {
  161. "F1": 0.9147444595205789,
  162. "FPR": 0.007234169061539986,
  163. "accuracy": 0.9343072052972439,
  164. "confusion": {
  165. "FIX": 0.10223843940776085,
  166. "NOISE": 0.00021051154304961055,
  167. "SACCADE": 0.8515191916356747,
  168. "SP": 0.04231282015297172
  169. },
  170. "confusion-accuracy": 0.8515191916356747,
  171. "kappa": 0.8617897740435182,
  172. "precision": 0.9881117172868659,
  173. "recall": 0.8515191916356747,
  174. "sensitivity": 0.8515191916356747,
  175. "specificity": 0.99276583093846
  176. },
  177. "episode_as_Zemblys_et_al": {
  178. "IoU>=0.5": {
  179. "kappa": 0.7999544841804305
  180. },
  181. "kappa": 0.8050370286572526
  182. },
  183. "kappa": 0.7832241670026375,
  184. "normalised_Levenshtein": {
  185. "episode": 0.307667376747648,
  186. "error_rate": 0.03531624903359532,
  187. "sample": 0.03352668513748052
  188. },
  189. "precision": 0.8199041513661542,
  190. "recall": 0.7860258360929622,
  191. "sensitivity": 0.7860258360929622,
  192. "specificity": 0.9826436364148936
  193. },
  194. "SP": {
  195. "F1": 0.3168261645245457,
  196. "FPR": 0.09737776583355728,
  197. "accuracy": 0.7454798694873375,
  198. "basic_statistics": {
  199. "detected": {
  200. "amplitude_deg": 2.659638879375436,
  201. "count": 1395.0,
  202. "duration_ms": 700.3633053763441
  203. },
  204. "true": {
  205. "amplitude_deg": 1.5899602809400915,
  206. "count": 5159.0,
  207. "duration_ms": 333.7082545066874
  208. }
  209. },
  210. "episode_adjusted_Cohens_kappa": {
  211. "IoU>=0.8": {
  212. "kappa": 0.08460850441561572
  213. },
  214. "kappa": 0.08836414678353198
  215. },
  216. "episode_as_Hooge_et_al": {
  217. "F1": 0.27412838545563367,
  218. "IoU": 0.10177407047808962,
  219. "IoU>=0.5": {
  220. "F1": 0.16429747119557084,
  221. "IoU": 0.08603088528685332
  222. }
  223. },
  224. "episode_as_Hoppe_et_al": {
  225. "F1": 0.24438273163342591,
  226. "FPR": 0.05716246354434723,
  227. "accuracy": 0.8261551418697181,
  228. "confusion": {
  229. "FIX": 0.8107034795763994,
  230. "NOISE": 0.00340393343419062,
  231. "SACCADE": 0.00208018154311649,
  232. "SP": 0.18305597579425115
  233. },
  234. "confusion-accuracy": 0.18305597579425115,
  235. "kappa": 0.15843924100241275,
  236. "precision": 0.3675018982536067,
  237. "recall": 0.18305597579425115,
  238. "sensitivity": 0.18305597579425115,
  239. "specificity": 0.9428375364556528
  240. },
  241. "episode_as_Zemblys_et_al": {
  242. "IoU>=0.5": {
  243. "kappa": 0.1338804526211499
  244. },
  245. "kappa": 0.1561778751691788
  246. },
  247. "kappa": 0.17582385948173565,
  248. "normalised_Levenshtein": {
  249. "episode": 0.3325237207642754,
  250. "error_rate": 0.25452013051266253,
  251. "sample": 0.25267898829347496
  252. },
  253. "precision": 0.443490387529591,
  254. "recall": 0.24644080024670595,
  255. "sensitivity": 0.24644080024670595,
  256. "specificity": 0.9026222341664427
  257. },
  258. "all": {
  259. "F1": 0.826873917836107,
  260. "FPR": 1.0,
  261. "accuracy": 0.7048465893034228,
  262. "basic_statistics": {
  263. "detected": {
  264. "samples_amount": {
  265. "FIX": 0.748006896797927,
  266. "NOISE": 0.03130783269460467,
  267. "SACCADE": 0.08756982163105946,
  268. "SP": 0.13307538923932744,
  269. "UNKNOWN": 4.0059637081489204e-05
  270. }
  271. },
  272. "true": {
  273. "samples_amount": {
  274. "FIX": 0.6254843605269232,
  275. "NOISE": 0.04369143832900626,
  276. "SACCADE": 0.09134414798193446,
  277. "SP": 0.23948005316213608
  278. }
  279. }
  280. },
  281. "episode_adjusted_Cohens_kappa": {
  282. "IoU>=0.8": {
  283. "kappa": 0.37645631640023614
  284. },
  285. "kappa": 0.4915539396228751
  286. },
  287. "episode_as_Zemblys_et_al": {
  288. "IoU>=0.5": {
  289. "kappa": 0.28477308183300276
  290. },
  291. "kappa": 0.34454552168610475
  292. },
  293. "kappa": 0.0,
  294. "normalised_Levenshtein": {
  295. "episode": 0.46480599891992425,
  296. "error_rate": 0.29515341069657713,
  297. "sample": 0.2939034215790286
  298. },
  299. "precision": 0.7048465893034228,
  300. "recall": 1.0,
  301. "sensitivity": 1.0,
  302. "specificity": 0.0
  303. }
  304. }