MorenoLaQuatra
commited on
Commit
·
46fc0dc
1
Parent(s):
4d9126f
Added models per fold
Browse files- fold_1.pt +3 -0
- fold_10.pt +3 -0
- fold_2.pt +3 -0
- fold_3.pt +3 -0
- fold_4.pt +3 -0
- fold_5.pt +3 -0
- fold_6.pt +3 -0
- fold_7.pt +3 -0
- fold_8.pt +3 -0
- fold_9.pt +3 -0
- test_results.csv +11 -0
- test_results.txt +7 -0
fold_1.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c7b8ff9ab5b3a93ae6745902e240b3499e3cd28a9936cee964a9026e9013ec1
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size 382390476
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fold_10.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:252d4b3256b5ae13764a2d5b9479fe81e70ccdcdc07f26faf23ac49e873b79ea
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size 382396486
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fold_2.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa523cc6df74cd4f0458a4b3c5294ab2120c9a4cd98579551ca7822e3fe18789
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size 382390476
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fold_3.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e683146966e80e61a58141c45b0e19ef09498abf1152df6096112f28e00365ac
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size 382390476
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fold_4.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d55cf3aee983cc5f18ff45bd19cdf428ea26f3158ecce816a7f634073badf31
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size 382390476
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fold_5.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9ccbb053ed61725d973ad5fe2a749504c27e56bfe2c184a4e20d51820ec0ac0f
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size 382390476
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fold_6.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7886968d564324094a697a8bede782563939b7afe23efce8b15ca6cfe27447e1
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size 382390476
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fold_7.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3442d34f6a8c447af0c566901492d69af86cda4a0533da8009f0dda0c45a9f49
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size 382390476
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fold_8.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e526b89f063c0d9bfac6d9841acedd9f447e0723490ec28664b52600b4a1ea0d
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size 382390476
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fold_9.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd8e67d1e8d3ab992be3af40013f704e6f5cd26105619f1316ef1aec0343d3c6
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size 382390476
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test_results.csv
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accuracy,precision,recall,f1,roc_auc,sensitivity,specificity
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0.7111111111111111,0.7513227513227514,0.711111111111111,0.699074074074074,0.7111111111111111,0.5111111111111111,0.9111111111111111
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0.8888888888888888,0.9090909090909092,0.8888888888888888,0.8875000000000001,0.8888888888888888,0.7777777777777778,1.0
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0.8888888888888888,0.89198606271777,0.8888888888888888,0.8886689757545769,0.888888888888889,0.8444444444444444,0.9333333333333333
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0.8222222222222222,0.8327383987761346,0.8222222222222222,0.8208063713290195,0.8222222222222223,0.7333333333333333,0.9111111111111111
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0.6666666666666666,0.6845270639693821,0.6666666666666666,0.6584008097165992,0.6666666666666666,0.8222222222222222,0.5111111111111111
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0.7944444444444444,0.7944808000987775,0.7944444444444445,0.7944380999413562,0.7944444444444444,0.7888888888888889,0.8
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0.7611111111111111,0.7650708108785562,0.7611111111111111,0.7602156200625794,0.7611111111111111,0.8222222222222222,0.7
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0.8666666666666667,0.8733031674208145,0.8666666666666667,0.8660714285714285,0.8666666666666667,0.8,0.9333333333333333
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0.7653631284916201,0.7987394957983194,0.7662921348314606,0.7590384615384616,0.7662921348314607,0.6,0.9325842696629213
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0.95,0.950055562415113,0.95,0.949998456742492,0.9500000000000001,0.9444444444444444,0.9555555555555556
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test_results.txt
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accuracy: 81.15 +/- 8.840
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precision: 82.51 +/- 8.162
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recall: 81.16 +/- 8.835
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f1: 80.84 +/- 9.167
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roc_auc: 81.16 +/- 8.835
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sensitivity: 76.44 +/- 12.459
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specificity: 85.88 +/- 14.940
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