Add new experiments and analysis scripts for dropzero features
- Introduced `fused_importance_with_axial.py` to evaluate the importance of Axial_Length in the fused-head model. - Created JSON configurations for various experiments excluding zero-importance clinical features: - `cd_solo_bilateral_dropzero.json`: Bilateral clinical-only evaluation. - `cd_solo_single_dropzero.json`: Single-eye clinical-only evaluation. - `ensemble_refugelike_ckpt_dropzero.json`: Ensemble model with dropped zero-importance features. - `ensemble_single_refugelike_dropzero.json`: Single-eye ensemble model with dropped features.
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@@ -4,7 +4,6 @@ IOP_corr,0.0645588235294118,0.053595964337907635,0.7117647058823529
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Phakic/Pseudophakic,0.031004901960784353,0.05039528009700277,0.7117647058823529
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Pachymetry,0.011421568627451003,0.016547911692771797,0.7117647058823529
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Gender,0.006102941176470622,0.022596178307964714,0.7117647058823529
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eyeID,0.0,0.0,0.7117647058823529
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dioptre_2,-0.0010294117647058861,0.003622645200240852,0.7117647058823529
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astigmatism,-0.002156862745098008,0.008336072214271729,0.7117647058823529
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dioptre_1,-0.006593137254901939,0.011003619078899692,0.7117647058823529
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feature,mean_drop_across_reps,std_drop_across_reps,baseline_auc_mean,baseline_auc_std,n_reps
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Age,0.01915686274509804,0.005535822316487697,0.8955147058823529,0.01575126319974185,10
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IOP_corr,0.015360294117647059,0.006440372950299282,0.8955147058823529,0.01575126319974185,10
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Gender,0.010316176470588235,0.005983911392207313,0.8955147058823529,0.01575126319974185,10
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Pachymetry,0.006735294117647063,0.006456431334319213,0.8955147058823529,0.01575126319974185,10
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Phakic/Pseudophakic,0.0025857843137254933,0.005779537014891194,0.8955147058823529,0.01575126319974185,10
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astigmatism,2.6960784313724555e-05,0.0012103203246870743,0.8955147058823529,0.01575126319974185,10
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dioptre_2,-0.00013480392156862828,0.0007757846606353119,0.8955147058823529,0.01575126319974185,10
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dioptre_1,-0.0029166666666666646,0.003095754152323194,0.8955147058823529,0.01575126319974185,10
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feature,mean_drop_across_reps,std_drop_across_reps,baseline_auc_mean,baseline_auc_std,n_reps
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Age,0.013105392156862749,0.005436527005752407,0.8887499999999999,0.02755940814873661,10
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IOP_corr,0.008683823529411766,0.0033213280421355005,0.8887499999999999,0.02755940814873661,10
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Gender,0.007700980392156867,0.011394806861639722,0.8887499999999999,0.02755940814873661,10
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Pachymetry,0.0006838235294117676,0.004483049502641836,0.8887499999999999,0.02755940814873661,10
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dioptre_2,-0.0002941176470588276,0.0006423252286392011,0.8887499999999999,0.02755940814873661,10
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astigmatism,-0.0006887254901960787,0.0016973618769747256,0.8887499999999999,0.02755940814873661,10
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Phakic/Pseudophakic,-0.0009215686274509783,0.007695338418275053,0.8887499999999999,0.02755940814873661,10
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Axial_Length,-0.001026960784313726,0.003170425325037298,0.8887499999999999,0.02755940814873661,10
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dioptre_1,-0.003914215686274506,0.0010102113446127624,0.8887499999999999,0.02755940814873661,10
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feature,mean_importance,std_importance
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Age,0.03184101084778838,0.017362350323790826
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IOP_corr,0.0209298093602393,0.01619384191432414
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Gender,0.010245143460808846,0.020271910566046904
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Phakic/Pseudophakic,0.005718439848904106,0.019878985551523384
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eyeID,0.002907359675067821,0.0068517202428395665
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Pachymetry,0.0027483776870354105,0.008864856763204554
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dioptre_2,8.49432781653429e-05,0.0010216320594945336
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astigmatism,-0.0012830897957007016,0.0044473592790778
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dioptre_1,-0.002925119731183013,0.006220349074293031
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