# F̷͎͂̔i̶̤̎̓ͅn̷̘̪̓à̴̛̮̗̈l̴̬̙͎̄́̐͝ ̴̭̟̘̬̂͒͒p̶̱̣̖̜̏͊̀r̸̜̫̻̘͗̈͝e̷͍̹̤̳͌s̴̖̅̅͜ḙ̵̈́̈́͂̒n̷̖͍̙͑͋̒̓͜ẗ̵̨͈̹̓͝á̷̦͐̎̈́t̸̜̮̅i̴̖̩̮̥͊̏̕o̸̱̊̀n̵̨̻͑̅̏ ## Only LDA on original Training accuracy 0.8980380100041584 +/- 0.010462038594023166 Cross-validation accuracy: 0.6904217154469705 +/- 0.03261409989244559 ('kbest', SelectKBest(k=40)), ('classifier', LogisticRegression(C=0.0041753189365604,)) ![](https://i.imgur.com/8uyUnm4.png) ![](https://i.imgur.com/UiXLciC.png) ![](https://i.imgur.com/aUo9OtL.png) Fold 0: Training accuracy 0.8831024930747923 Fold 0: Cross-validation accuracy: 0.7461139896373057 Fold 1: Training accuracy 0.9121071012805588 Fold 1: Cross-validation accuracy: 0.6469344608879493 Fold 2: Training accuracy 0.8895538628944505 Fold 2: Cross-validation accuracy: 0.6968838526912181 Fold 3: Training accuracy 0.9004149377593361 Fold 3: Cross-validation accuracy: 0.6884920634920635 Fold 4: Training accuracy 0.905011655011655 Fold 4: Cross-validation accuracy: 0.6736842105263158 ## LDA on original + finger lenghts Training accuracy 0.8836466849714159 +/- 0.013989900906068593 Cross-validation accuracy: 0.7017596153840922 +/- 0.024295391011192966 ('kbest', SelectKBest(k=45)), ('classifier', LogisticRegression(C=0.0018873918221350976)) ![](https://i.imgur.com/lnXrWp1.png) ![](https://i.imgur.com/zTAAN5g.png) ![](https://i.imgur.com/P4CwY1L.png) Fold 0: Training accuracy 0.8686980609418282 Fold 0: Cross-validation accuracy: 0.7383419689119171 Fold 1: Training accuracy 0.9045401629802096 Fold 1: Cross-validation accuracy: 0.678646934460888 Fold 2: Training accuracy 0.8677910772578891 Fold 2: Cross-validation accuracy: 0.7138810198300283 Fold 3: Training accuracy 0.8855957320687611 Fold 3: Cross-validation accuracy: 0.7063492063492064 Fold 4: Training accuracy 0.8916083916083916 Fold 4: Cross-validation accuracy: 0.671578947368421 ## LDA on original + body distances Training accuracy 0.9234190335412951 +/- 0.010105395112153179 Cross-validation accuracy: 0.690323389394001 +/- 0.04008191227979382 ('kbest', SelectKBest(k=50)), ('classifier', LogisticRegression(C=0.01268961003167922,)) ![](https://i.imgur.com/Jl01JzE.png) ![](https://i.imgur.com/rUEWsrk.png) ![](https://i.imgur.com/6ZnVMkd.png) Fold 0: Training accuracy 0.9119113573407203 Fold 0: Cross-validation accuracy: 0.7538860103626943 Fold 1: Training accuracy 0.9313154831199069 Fold 1: Cross-validation accuracy: 0.6448202959830867 Fold 2: Training accuracy 0.9102285092491839 Fold 2: Cross-validation accuracy: 0.6940509915014165 Fold 3: Training accuracy 0.9312388855957321 Fold 3: Cross-validation accuracy: 0.7083333333333334 Fold 4: Training accuracy 0.9324009324009324 Fold 4: Cross-validation accuracy: 0.6505263157894737 ## LDA on original + trajectories Training accuracy 0.8944332467039746 +/- 0.012385095354712458 Cross-validation accuracy: 0.6924525071599851 +/- 0.030697218877779365 ('kbest', SelectKBest(k=40)), ('classifier', LogisticRegression(C=0.0041753189365604,)) ![](https://i.imgur.com/oqFQCwS.png) ![](https://i.imgur.com/fWkTAuG.png) ![](https://i.imgur.com/vjZAAfa.png) Fold 0: Training accuracy 0.8764542936288089 Fold 0: Cross-validation accuracy: 0.7409326424870466 Fold 1: Training accuracy 0.9121071012805588 Fold 1: Cross-validation accuracy: 0.6553911205073996 Fold 2: Training accuracy 0.8852013057671382 Fold 2: Cross-validation accuracy: 0.7082152974504249 Fold 3: Training accuracy 0.8986366330764671 Fold 3: Cross-validation accuracy: 0.6924603174603174 Fold 4: Training accuracy 0.8997668997668997 Fold 4: Cross-validation accuracy: 0.6652631578947369 ## LDA on original + finger bent Training accuracy 0.9125020330708873 +/- 0.009039664029101696 Cross-validation accuracy: 0.688654467986004 +/- 0.029824696957402815 ('kbest', SelectKBest(k=47)), ('classifier', LogisticRegression(C=0.010826367338740546,)) ![](https://i.imgur.com/tFbycvF.png) ![](https://i.imgur.com/xSeW3xM.png) ![](https://i.imgur.com/aMDS5zK.png) Fold 0: Training accuracy 0.9024930747922437 Fold 0: Cross-validation accuracy: 0.7409326424870466 Fold 1: Training accuracy 0.9243306169965075 Fold 1: Cross-validation accuracy: 0.653276955602537 Fold 2: Training accuracy 0.9020674646354734 Fold 2: Cross-validation accuracy: 0.6912181303116147 Fold 3: Training accuracy 0.9134558387670421 Fold 3: Cross-validation accuracy: 0.6904761904761905 Fold 4: Training accuracy 0.9201631701631702 Fold 4: Cross-validation accuracy: 0.6673684210526316 ## LDA + body distances + finger lengths Training accuracy 0.8821189569286 +/- 0.012265950360859616 Cross-validation accuracy: 0.7038675327105605 +/- 0.023874283302212328 ('kbest', SelectKBest(k=51)), ('classifier', LogisticRegression(C=0.00221221629107045,)) ![](https://i.imgur.com/Otsf9hp.png) ![](https://i.imgur.com/QT0ccg8.png) ![](https://i.imgur.com/ia6TzI9.png) Fold 0: Training accuracy 0.8653739612188366 Fold 0: Cross-validation accuracy: 0.7227979274611399 Fold 1: Training accuracy 0.89988358556461 Fold 1: Cross-validation accuracy: 0.6744186046511628 Fold 2: Training accuracy 0.8715995647442872 Fold 2: Cross-validation accuracy: 0.7393767705382436 Fold 3: Training accuracy 0.8873740367516301 Fold 3: Cross-validation accuracy: 0.6964285714285714 Fold 4: Training accuracy 0.8863636363636364 Fold 4: Cross-validation accuracy: 0.6863157894736842 ## Body distances min (8 frame mins) ![](https://i.imgur.com/rxfTGuU.png) ![](https://i.imgur.com/u8u9lmk.png) ![](https://i.imgur.com/90xlv81.png) ![](https://i.imgur.com/5iPI2eg.png) ![](https://i.imgur.com/HRCFIkr.png) ![](https://i.imgur.com/DjmNrgL.png) ![](https://i.imgur.com/ResGAVh.png) ![](https://i.imgur.com/aiLGEMV.png) ## Body distances normal (8 frame means) ![](https://i.imgur.com/eYxBtsI.png) ![](https://i.imgur.com/xw2xLEH.png) ![](https://i.imgur.com/vnylO8K.png) ![](https://i.imgur.com/XyBzLbj.png) ![](https://i.imgur.com/MhodcBO.png) ![](https://i.imgur.com/ytlK5Zx.png) ![](https://i.imgur.com/UfRXUo2.png) ![](https://i.imgur.com/8pYFtjv.png)