diff --git a/Figures_manuscript/inputs/JASS_5CVdata-2023-08-01/5foldCV_linear_summary_semilogadjust_log10_excCorVar.csv b/Figures_manuscript/inputs/JASS_5CVdata-2023-08-01/5foldCV_linear_summary_semilogadjust_log10_excCorVar.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5b7262b08ac9ff35eacd42b91db372d3544f3f80
--- /dev/null
+++ b/Figures_manuscript/inputs/JASS_5CVdata-2023-08-01/5foldCV_linear_summary_semilogadjust_log10_excCorVar.csv
@@ -0,0 +1,6 @@
+,k_coef_mv,k_pval_mv,k_SE_mv,k_coef_uv,k_pval_uv,k_SE_uv,log10_avg_distance_cor_coef_mv,log10_avg_distance_cor_pval_mv,log10_avg_distance_cor_SE_mv,log10_avg_distance_cor_coef_uv,log10_avg_distance_cor_pval_uv,log10_avg_distance_cor_SE_uv,log10_mean_gencov_coef_mv,log10_mean_gencov_pval_mv,log10_mean_gencov_SE_mv,log10_mean_gencov_coef_uv,log10_mean_gencov_pval_uv,log10_mean_gencov_SE_uv,avg_Neff_coef_mv,avg_Neff_pval_mv,avg_Neff_SE_mv,avg_Neff_coef_uv,avg_Neff_pval_uv,avg_Neff_SE_uv,avg_h2_mixer_coef_mv,avg_h2_mixer_pval_mv,avg_h2_mixer_SE_mv,avg_h2_mixer_coef_uv,avg_h2_mixer_pval_uv,avg_h2_mixer_SE_uv,avg_perc_h2_diff_region_coef_mv,avg_perc_h2_diff_region_pval_mv,avg_perc_h2_diff_region_SE_mv,avg_perc_h2_diff_region_coef_uv,avg_perc_h2_diff_region_pval_uv,avg_perc_h2_diff_region_SE_uv,R2train_mv,R2val_mv,R2val_adj_mv,corRtrain_mv,corRval_mv,corR2train_mv,corR2val_mv,corR2val_adj_mv,cor_p_train_mv,cor_p_val_mv
+CV1,0.09578119160705459,3.446503355919599e-44,0.006699841917142386,0.10973097650247612,2.3313151951364935e-46,0.007477488333624542,-0.7868973581495715,8.337615564586966e-29,0.06954313095324943,0.15626639583141677,0.0011364886023806846,0.04794724134767756,0.7669352498282413,3.813385046142719e-45,0.053022393200791364,0.29737410868591496,5.480332862158968e-16,0.036402593240075276,0.20615627729649524,4.341596952712702e-15,0.026071855861869837,0.23851264990874838,2.1521271965147556e-25,0.022588110850385045,-0.5086195327067986,2.937217015911498e-96,0.0230990735361394,-0.1865362054960935,5.285208471479192e-22,0.019115737529703917,0.11204851778328227,5.158246490617166e-06,0.024513687408673032,0.18356990673044676,5.621406553536151e-13,0.025292391516327034,0.3301667053321081,0.1418011229830748,-0.12824689882632523,0.5746013447009222,0.4802974639031131,0.33016670533210796,0.23068565383176226,0.23068565383176234,2.3716916835871397e-174,1.8645250298940335e-114
+CV2,0.07674924760392954,1.5919406316771033e-17,0.008923930073951647,0.09941767412806689,3.277629132458525e-22,0.010135358871878641,-0.5357575418041226,2.9921418705091275e-07,0.10419854529163391,0.7687439391672501,4.004265124837897e-38,0.05829293989632798,0.7888726648886218,2.0553406963074268e-20,0.08426150381141413,0.4491091524342817,6.782747398339274e-20,0.048660829002793435,-0.015607908904850329,0.5542229250417097,0.026384977275843845,0.28999243041828576,8.018258385984465e-30,0.02514728566447192,-0.43679266100257474,1.455170445691913e-34,0.034941328776943587,-0.467750211354304,9.936473908333874e-67,0.02608758157042861,0.36976575311299176,4.353052048697329e-35,0.029337348876191795,0.5268555361150874,1.2841574409679255e-92,0.024459147581509598,0.312656804046449,0.1247263174906541,-0.1676699286751917,0.5591572265887738,0.42791449944359156,0.3126568040464493,0.18311081883405952,0.18311081883405952,3.564575695810333e-163,5.633673732982754e-89
+CV3,0.08249527234300755,1.6379424783472456e-44,0.005747559196740484,0.09592734399579245,2.355557705779876e-40,0.007051744241905066,-0.3930287326884106,2.241864371592061e-10,0.06163138551653158,0.6098032386794502,7.406222487774226e-39,0.04576282089851658,0.3548259816297893,5.98964759881362e-15,0.04511001668188975,-0.2443966973232762,2.5397863364797935e-14,0.031834550347118164,-0.07078292420375451,0.003007752773353574,0.02382754821486056,-0.21319019390156055,7.786873734980822e-15,0.027221466504261743,-0.5184564177662896,2.2163537438991202e-111,0.0216593501574648,-0.40915166792952307,8.410778284078376e-183,0.012726558861485543,0.09084628999991584,3.87704314303694e-10,0.014440906667825762,0.11888605238213981,1.651134212544051e-12,0.016728482041682806,0.4423734366904323,-0.18726500187077266,-0.48634152149304755,0.6651115971703038,0.4403159361498068,0.44237343669043244,0.19387812362748075,0.1938781236274807,3.6667159321912223e-253,1.0949636325810232e-94
+CV4,0.04917825958860512,6.147756022115585e-08,0.009047908830808029,0.07688500270897919,8.931848377800278e-14,0.010238418960002922,-1.1737355258479527,1.0860128945144058e-26,0.10815599916291792,0.5414850785974913,8.89425061666753e-13,0.07526983649486055,1.1488369533273226,1.6041141700011955e-56,0.07021693823223774,0.1077715293876437,0.014763692683760656,0.044163842364978334,0.2598866148839928,1.0985189457160396e-10,0.04005801835364487,0.2618038601861966,6.471105098629659e-10,0.04216367754029745,-0.6901039864237138,6.669727118979643e-79,0.03505834032392212,-0.35688609426552065,1.8306893080067033e-45,0.02458032708978438,0.27727571149778546,3.0223439685229576e-33,0.02265684970474656,0.33192355330907514,2.2694266383994727e-51,0.021381904106691045,0.2903927394945125,-0.20627959465840573,-0.3109279175615922,0.5388810068043894,0.35685763500319273,0.29039273949451244,0.12734737166007193,0.127347371660072,1.5086784312162644e-149,1.5557235617829393e-60
+CV5,0.08281277772640847,3.0713860546339043e-19,0.009141086573856382,0.09809928747958238,7.88772045987945e-26,0.009203989538903563,-0.6101362274519164,1.9470466380952505e-09,0.10117610971726856,0.35818783185791925,6.405747493744461e-09,0.06142430559216348,0.6745020752527513,5.636216096166369e-21,0.07097086855085355,0.3289506303640266,1.1289879697888422e-13,0.04398998599649317,-0.015188973217855142,0.5981529775369008,0.0288137172497938,-0.059833324329228166,0.02343836920007995,0.026381869522275635,-0.4285093796052707,2.2251479256601835e-26,0.03974086708813778,-0.23576831606209328,4.377218480294749e-13,0.032329869780601414,-0.06355669272402507,0.0024077601538319165,0.020916237906822878,-0.05702400301984754,0.0026291642402229,0.018932961227247184,0.12676713239501503,-0.1858181927310094,-0.5777374859559676,0.356043722588975,0.37353667489829395,0.12676713239501497,0.13952964749407376,0.13952964749407376,3.008940615460283e-60,1.3611712502467675e-66
diff --git a/Figures_manuscript/scripts/Figure_4_regression_results.py b/Figures_manuscript/scripts/Figure_4_regression_results.py
index b9ec2bb0d1c3018da1ae740f4a1291f9333c4b2b..f149189ef869a331d42e561b2c6fec7c9ea716b2 100644
--- a/Figures_manuscript/scripts/Figure_4_regression_results.py
+++ b/Figures_manuscript/scripts/Figure_4_regression_results.py
@@ -16,7 +16,7 @@ def jitterplot(x, data, ax, labels=None):
 			ax.plot(np.random.normal(x-0.08,0.08), data[c], '.',color=cols[c],markersize=12, markeredgecolor='k')
 
 
-data_path = '../../JASS_5CVdata-2023-08-01/'
+data_path = '../inputs/JASS_5CVdata-2023-08-01/'
 features = ['k','log10_avg_distance_cor','log10_mean_gencov','avg_Neff','avg_h2_mixer','avg_perc_h2_diff_region'] 
 names =  ['# of traits','$log_{10}\Delta_{\Sigma}$',r'$log_{10}\bar{\Sigma}_{g}$','mean $N_{eff}$','mean $h^2_{GWAS}$',r'mean %$h^2_u$']