Skip to content

Commit 89a9812

Browse files
Merge pull request #6 from MSD-IRIMAS/aif/results-upload
[DOC] Upload results csv
2 parents f0c1c5d + abe2b9a commit 89a9812

File tree

10 files changed

+936
-3
lines changed

10 files changed

+936
-3
lines changed

.gitignore

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -6,6 +6,7 @@ __pycache__/
66
*.hdf5
77
*.keras
88
*.csv
9+
!results/*.csv
910
*.pdf
1011
*.yaml
1112
!config/config_hydra.yaml

README.md

Lines changed: 5 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -43,7 +43,7 @@ For each dataset sub-folder, there exists a single `json` file containing the in
4343

4444
## Docker
4545

46-
This repository supports the usage of docker. In order to create the docker image using the [dockerfile](dockerfile), simply run the following command (assuming you have docker installed and nvidia cuda container as well):
46+
This repository supports the usage of docker. In order to create the docker image using the [dockerfile](https://github.com/MSD-IRIMAS/DeepRehabPile/blob/main/dockerfile), simply run the following command (assuming you have docker installed and nvidia cuda container as well):
4747
```bash
4848
docker build --build-arg USER_ID=$(id -u) --build-arg GROUP_ID=$(id -g) -t deep-rehab-pile-image .
4949
```
@@ -80,7 +80,7 @@ matplotlib==3.9.0
8080

8181
## Running the code on a single experiment
8282

83-
For each experiment, our code runs multiple initialization (default 5) of a model on a single fold of a single dataset, reports the evaluation metrics on each initialization, as well as the ensemble performance of all initializations. The results reported in our article are of the ensemble performance.
83+
For each experiment, our code runs multiple initialization (default 5) of a model on a single fold of a single dataset, reports the evaluation metrics on each initialization, as well as the ensemble performance of all initialization. The results reported in our article are of the ensemble performance.
8484

8585
If you wish to run a single experiment on a single dataset, on a single fold of this dataset, using a single model then first you have to execute your docker container to open a terminal inside if you're not inside the container:
8686
```bash
@@ -90,7 +90,7 @@ Then you can run the following command for example top run LITEMV on the IRDS_cl
9090
```bash
9191
python3 main.py task=classification dataset_name=IRDS_clf_bn_EFL fold_number=0 estimator=LITEMV
9292
```
93-
The code uses [hydra](https://hydra.cc/docs/intro/) for the parameter configuration, simply see the [hydra configuration file](config/config_hydra.yaml) for a detailed view on the parameters of our experiments.
93+
The code uses [hydra](https://hydra.cc/docs/intro/) for the parameter configuration, simply see the [hydra configuration file](https://github.com/MSD-IRIMAS/DeepRehabPile/blob/main/config/config_hydra.yaml) for a detailed view on the parameters of our experiments.
9494

9595
## Running the whole benchmark
9696

@@ -107,6 +107,8 @@ nohup ./run_regression_experiments.sh &
107107

108108
## Results
109109

110+
All the results are available in ``csv`` format in the [```results/``` folder](https://github.com/MSD-IRIMAS/DeepRehabPile/blob/main/results/)
111+
110112
<img id="img-overview"
111113
src="https://raw.githubusercontent.com/MSD-IRIMAS/DeepRehabPile/main/static/num-params-plot.png"
112114
class="interpolation-image"

results/accuracy_ensemble.csv

Lines changed: 220 additions & 0 deletions
Large diffs are not rendered by default.

results/balanced_accuracy_ensemble.csv

Lines changed: 220 additions & 0 deletions
Large diffs are not rendered by default.

results/flops.csv

Lines changed: 61 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,61 @@
1+
dataset,LITEMV,ConvTran,MotionGRU,FCN,H-Inception,DisjointCNN,STGCN,ConvLSTM,VanTran
2+
IRDS_clf_bn_EFL,14335190,17401276,21373602,40776716,64577930,111219212,752591132,679721996,820161676
3+
IRDS_clf_bn_EFR,17972280,21886456,26715042,50969996,80720720,139019084,940738832,898642316,1043723836
4+
IRDS_clf_bn_SAL,19589498,23998020,29207714,55726860,88254022,151992204,1028541092,1000805132,1150588300
5+
IRDS_clf_bn_SAR,18155574,22187388,27071138,51649548,81796906,140872332,953282012,913237004,1058891404
6+
IRDS_clf_bn_SFE,22747760,27950696,33836962,64561036,102244440,176085580,1191602432,1190536076,1353331516
7+
IRDS_clf_bn_SFL,26568144,32871208,39534498,75433868,119463416,205738700,1392293312,1424051084,1610500924
8+
IRDS_clf_bn_SFR,25320074,31326948,37754018,72036108,114082486,196472076,1329577412,1351077644,1529229964
9+
IRDS_clf_bn_STL,15769114,19188868,23510178,44854028,71035046,122339084,827850212,767290124,908697484
10+
IRDS_clf_bn_STR,15769114,19188868,23510178,44854028,71035046,122339084,827850212,767290124,908697484
11+
KERAAL_clf_bn_CTK,67572098,89140828,98714274,188690444,297731282,516730508,1361853884,3931618316,4754540428
12+
KERAAL_clf_bn_ELK,72280024,95949896,105509282,201679756,318226810,552301260,1455604672,4216111244,5174126396
13+
KERAAL_clf_bn_RTK,64634570,84885004,94422690,180486668,284786738,494264588,1302642860,3751938572,4495663372
14+
KERAAL_clf_mc_CTK,67572238,89140904,98714406,188690968,297731806,516731032,1361854216,3931618840,4754541464
15+
KERAAL_clf_mc_ELK,72280164,95949972,105509414,201680280,318227334,552301784,1455605004,4216111768,5174127432
16+
KERAAL_clf_mc_RTK,64634710,84885080,94422822,180487192,284787262,494265112,1302643192,3751939096,4495664408
17+
KIMORE_clf_bn_LA,127332988,214522256,246484642,461497996,761012445,1200443404,6108061532,7556007692,17840186236
18+
KIMORE_clf_bn_LT,140107960,243112852,271302306,507965708,837637844,1321313420,6723080108,8331204620,20595602188
19+
KIMORE_clf_bn_PR,148750516,263021160,287960738,539156364,889071331,1402445580,7135900796,8851542284,22543549756
20+
KIMORE_clf_bn_Sq,97838236,153583280,189370018,354558604,584669061,922276108,4692676316,5771992844,12165549436
21+
KIMORE_clf_bn_TR,142782620,249146032,276401826,517513868,853382789,1346149772,6849453788,8490491660,21183516028
22+
KINECAL_clf_bn_3WFV,61430428,80609120,91524514,174648460,276586572,476324044,3223597592,3554875532,4346578300
23+
KINECAL_clf_bn_GGFV,70685854,94226828,105412258,201150988,318557826,548603788,3712781612,4124068364,5196236044
24+
KINECAL_clf_bn_QSEC,141362958,209480940,210816674,402298380,637108882,1097187852,7425562892,8444096012,13277490700
25+
KINECAL_clf_bn_QSEO,141658492,209905952,211172770,402977932,638185068,1099041100,7438106072,8458690700,13309682044
26+
SPHERE_clf_bn_WUS,31780406,43419444,71281826,132279564,222202114,336231564,1463516372,1787768588,3464541196
27+
UCDHE_clf_bn_MP,9869996,15207328,50044066,89957516,161275479,209038348,561434380,504677900,2463623036
28+
UCDHE_clf_bn_Rowing,9869996,15207328,50044066,89957516,161275479,209038348,561434380,504677900,2463623036
29+
UCDHE_clf_mc_MP,9870136,15207404,50044198,89958040,161276003,209038872,561434712,504678424,2463624072
30+
UCDHE_clf_mc_Rowing,9870206,15207442,50044264,89958302,161276265,209039134,561434878,504678686,2463624590
31+
UIPRMD_clf_bn_DS,17204876,21129568,28291746,53554316,86257109,143280524,866911580,870956300,1134849916
32+
UIPRMD_clf_bn_HS,14664668,17899984,24101538,45620876,73479281,122056460,738480284,716265740,953091964
33+
UIPRMD_clf_bn_IL,16358140,20049200,26895010,50909836,81997833,136205836,824101148,819392780,1073737084
34+
UIPRMD_clf_bn_SASLR,13393284,16298152,22006434,41654156,67090367,111444620,674264636,638920460,863991100
35+
UIPRMD_clf_bn_SL,18051612,22213776,29688482,56198796,90516385,150355212,909722012,922519820,1196489596
36+
UIPRMD_clf_bn_SSA,15673728,19241444,25847458,48926476,78803376,130899724,791993324,780720140,1028248204
37+
UIPRMD_clf_bn_SSE,14240020,17365080,23403170,44298636,71349643,118519308,717075068,690483980,923259964
38+
UIPRMD_clf_bn_SSIER,15673728,19241444,25847458,48926476,78803376,130899724,791993324,780720140,1028248204
39+
UIPRMD_clf_bn_SSS,13980256,17097988,23053986,43637516,70284824,116750732,706372460,677593100,908393356
40+
UIPRMD_clf_bn_STS,18636024,23029452,30736034,58182156,93710842,155660940,941829836,961192460,1243065100
41+
EHE_reg_BWL,25853713,30570297,18995803,39296513,51837065,127250945,534205721,1094873345,564354177
42+
EHE_reg_BWR,20933521,24714841,15379035,31812097,41964577,103016193,432452281,788803841,452380033
43+
EHE_reg_HUD,46288705,54886413,33914971,70169729,92561078,227218817,953938661,2357410049,1048523313
44+
EHE_reg_WB,52914769,63049865,38888027,80460801,106135749,260541313,1093849641,2778255617,1217881601
45+
EHE_reg_WF,49223345,58593473,36175451,74847489,98731383,242365441,1017534561,2548703489,1125010433
46+
EHE_reg_WH,30299361,35706421,22160475,45845377,60475492,148456065,623239981,1362684161,664060273
47+
KIMORE_reg_LA,127332913,214522213,246484571,461497729,761012178,1200443137,6108061361,7556007425,17840185713
48+
KIMORE_reg_LT,140107885,243112809,271302235,507965441,837637577,1321313153,6723079937,8331204353,20595601665
49+
KIMORE_reg_PR,148750441,263021117,287960667,539156097,889071064,1402445313,7135900625,8851542017,22543549233
50+
KIMORE_reg_Sq,97838161,153583237,189369947,354558337,584668794,922275841,4692676145,5771992577,12165548913
51+
KIMORE_reg_TR,142782545,249145989,276401755,517513601,853382522,1346149505,6849453617,8490491393,21183515505
52+
UIPRMD_reg_DS,17204801,21129525,28291675,53554049,86256842,143280257,866911409,870956033,1134849393
53+
UIPRMD_reg_HS,14664593,17899941,24101467,45620609,73479014,122056193,738480113,716265473,953091441
54+
UIPRMD_reg_IL,16358065,20049157,26894939,50909569,81997566,136205569,824100977,819392513,1073736561
55+
UIPRMD_reg_SASLR,13393209,16298109,22006363,41653889,67090100,111444353,674264465,638920193,863990577
56+
UIPRMD_reg_SL,18051537,22213733,29688411,56198529,90516118,150354945,909721841,922519553,1196489073
57+
UIPRMD_reg_SSA,15673653,19241401,25847387,48926209,78803109,130899457,791993153,780719873,1028247681
58+
UIPRMD_reg_SSE,14239945,17365037,23403099,44298369,71349376,118519041,717074897,690483713,923259441
59+
UIPRMD_reg_SSIER,15673653,19241401,25847387,48926209,78803109,130899457,791993153,780719873,1028247681
60+
UIPRMD_reg_SSS,13980181,17097945,23053915,43637249,70284557,116750465,706372289,677592833,908392833
61+
UIPRMD_reg_STS,18635949,23029409,30735963,58181889,93710575,155660673,941829665,961192193,1243064577

0 commit comments

Comments
 (0)