Estefani Gaytan Nunez

upload

...@@ -79,7 +79,7 @@ if __name__ == '__main__': ...@@ -79,7 +79,7 @@ if __name__ == '__main__':
79 print('------------------------------- SAVING DATA --------------------------------') 79 print('------------------------------- SAVING DATA --------------------------------')
80 print('Saving score-table: ' + str(options.table)) 80 print('Saving score-table: ' + str(options.table))
81 imageName = os.path.join(options.outputPath, options.figureName) 81 imageName = os.path.join(options.outputPath, options.figureName)
82 - savescreen(options.table, scores, imageName) 82 + savescreen(options.table, scoresTable, imageName)
83 fig = plt.figure() 83 fig = plt.figure()
84 fig.set_figheight(13) 84 fig.set_figheight(13)
85 fig.set_figwidth(20) 85 fig.set_figwidth(20)
......
1 - Run10_v10 Run10_v11 Run10_v12 Run10_v13 Run11_v10 Run11_v11 Run11_v12 Run11_v13 Run12_v10 Run12_v11 Run12_v12 Run12_v13 Run13_v10 Run13_v11 Run13_v12 Run13_v13 Run14_v10 Run14_v11 Run14_v12 Run14_v13 Run15_v10 Run15_v11 Run15_v12 Run15_v13 Run16_v10 Run16_v11 Run16_v12 Run16_v13 Run1_v10. Run1_v11. Run1_v12. Run1_v13. Run2_v10. Run2_v11. Run2_v12. Run2_v13. Run3_v10. Run3_v11. Run3_v12. Run3_v13. Run4_v10. Run4_v11. Run4_v12. Run4_v13. Run5_v10. Run5_v11. Run5_v12. Run5_v13. Run6_v10. Run6_v11. Run6_v12. Run6_v13. Run7_v10. Run7_v11. Run7_v12. Run7_v13. Run8_v10. Run8_v11. Run8_v12. Run8_v13. Run9_v10. Run9_v11. Run9_v12. Run9_v13. 1 + CV f1-score precision recall
2 -CV 0.8426343854107191 0.8375337951545059 0.8344412009392327 0.8342433957330186 0.8106324641347842 0.8200149039218473 0.8256738268677035 0.8222652765189232 0.8369330476694216 0.8324548394172087 0.8305332917162109 0.8269983740799899 0.8308032444965605 0.8337888246126737 0.8317218364725953 0.8295597513348965 0.8497587132907273 0.8514572032055473 0.8529397672009222 0.8530997523170145 0.8354648872990671 0.8438553480543364 0.833488403887471 0.8384402744923658 0.8504521104958047 0.856091701330711 0.8544270978232358 0.8512984764913196 0.818911081696952 0.8117042290979286 0.8211582395746769 0.8166537086281624 0.8263737544180966 0.8265144607685903 0.8266267801413506 0.8209562028933415 0.8153229850631285 0.8170382812294825 0.8214198138509978 0.8200873889763314 0.8200306160186037 0.8201549270256682 0.8172882049457899 0.8192294924716081 0.8315569437055503 0.826756700790382 0.823974602152804 0.830775030715119 0.8514396351676051 0.8443013668504182 0.8434032566660784 0.8577895989909314 0.8376625935961355 0.8381889879918965 0.8349604346257782 0.836408383376389 0.841060076118789 0.843848676674025 0.8426311049791738 0.8433941367984498 0.8189566663670631 0.8186349956286322 0.8193729864282642 0.8163619170548052 2 +Run10_v10 0.8426343854107191 0.805 0.911 0.746
3 -f1-score 0.805 0.809 0.804 0.811 0.816 0.802 0.812 0.808 0.816 0.814 0.810 0.804 0.815 0.815 0.817 0.817 0.821 0.820 0.818 0.815 0.817 0.823 0.817 0.814 0.818 0.813 0.823 0.820 0.807 0.801 0.812 0.806 0.804 0.811 0.804 0.806 0.832 0.815 0.808 0.813 0.809 0.801 0.804 0.801 0.814 0.818 0.815 0.817 0.813 0.816 0.815 0.814 0.815 0.813 0.811 0.821 0.816 0.818 0.818 0.823 0.812 0.799 0.807 0.803 3 +Run10_v11 0.8375337951545059 0.809 0.853 0.777
4 -precision 0.911 0.853 0.908 0.856 0.922 0.907 0.916 0.852 0.919 0.855 0.912 0.910 0.919 0.915 0.854 0.854 0.864 0.857 0.856 0.922 0.857 0.863 0.857 0.849 0.858 0.905 0.859 0.859 0.850 0.905 0.849 0.848 0.906 0.852 0.906 0.907 0.875 0.906 0.838 0.898 0.855 0.907 0.846 0.907 0.859 0.860 0.856 0.859 0.925 0.857 0.919 0.861 0.850 0.909 0.908 0.860 0.857 0.914 0.858 0.862 0.843 0.827 0.850 0.839 4 +Run10_v12 0.8344412009392327 0.804 0.908 0.746
5 -recall 0.746 0.777 0.746 0.781 0.760 0.742 0.750 0.773 0.752 0.783 0.752 0.742 0.754 0.758 0.787 0.787 0.789 0.789 0.787 0.752 0.785 0.791 0.785 0.785 0.785 0.756 0.793 0.789 0.773 0.742 0.781 0.773 0.746 0.779 0.746 0.748 0.802 0.767 0.785 0.764 0.773 0.740 0.771 0.740 0.779 0.785 0.783 0.783 0.750 0.783 0.754 0.777 0.787 0.758 0.756 0.789 0.783 0.760 0.785 0.791 0.787 0.779 0.773 0.773 5 +Run10_v13 0.8342433957330186 0.811 0.856 0.781
6 +Run11_v10 0.8106324641347842 0.816 0.922 0.760
7 +Run11_v11 0.8200149039218473 0.802 0.907 0.742
8 +Run11_v12 0.8256738268677035 0.812 0.916 0.750
9 +Run11_v13 0.8222652765189232 0.808 0.852 0.773
10 +Run12_v10 0.8369330476694216 0.816 0.919 0.752
11 +Run12_v11 0.8324548394172087 0.814 0.855 0.783
12 +Run12_v12 0.8305332917162109 0.810 0.912 0.752
13 +Run12_v13 0.8269983740799899 0.804 0.910 0.742
14 +Run13_v10 0.8308032444965605 0.815 0.919 0.754
15 +Run13_v11 0.8337888246126737 0.815 0.915 0.758
16 +Run13_v12 0.8317218364725953 0.817 0.854 0.787
17 +Run13_v13 0.8295597513348965 0.817 0.854 0.787
18 +Run14_v10 0.8497587132907273 0.821 0.864 0.789
19 +Run14_v11 0.8514572032055473 0.820 0.857 0.789
20 +Run14_v12 0.8529397672009222 0.818 0.856 0.787
21 +Run14_v13 0.8530997523170145 0.815 0.922 0.752
22 +Run15_v10 0.8354648872990671 0.817 0.857 0.785
23 +Run15_v11 0.8438553480543364 0.823 0.863 0.791
24 +Run15_v12 0.833488403887471 0.817 0.857 0.785
25 +Run15_v13 0.8384402744923658 0.814 0.849 0.785
26 +Run16_v10 0.8504521104958047 0.818 0.858 0.785
27 +Run16_v11 0.856091701330711 0.813 0.905 0.756
28 +Run16_v12 0.8544270978232358 0.823 0.859 0.793
29 +Run16_v13 0.8512984764913196 0.820 0.859 0.789
30 +Run1_v10. 0.818911081696952 0.807 0.850 0.773
31 +Run1_v11. 0.8117042290979286 0.801 0.905 0.742
32 +Run1_v12. 0.8211582395746769 0.812 0.849 0.781
33 +Run1_v13. 0.8166537086281624 0.806 0.848 0.773
34 +Run2_v10. 0.8263737544180966 0.804 0.906 0.746
35 +Run2_v11. 0.8265144607685903 0.811 0.852 0.779
36 +Run2_v12. 0.8266267801413506 0.804 0.906 0.746
37 +Run2_v13. 0.8209562028933415 0.806 0.907 0.748
38 +Run3_v10. 0.8153229850631285 0.832 0.875 0.802
39 +Run3_v11. 0.8170382812294825 0.815 0.906 0.767
40 +Run3_v12. 0.8214198138509978 0.808 0.838 0.785
41 +Run3_v13. 0.8200873889763314 0.813 0.898 0.764
42 +Run4_v10. 0.8200306160186037 0.809 0.855 0.773
43 +Run4_v11. 0.8201549270256682 0.801 0.907 0.740
44 +Run4_v12. 0.8172882049457899 0.804 0.846 0.771
45 +Run4_v13. 0.8192294924716081 0.801 0.907 0.740
46 +Run5_v10. 0.8315569437055503 0.814 0.859 0.779
47 +Run5_v11. 0.826756700790382 0.818 0.860 0.785
48 +Run5_v12. 0.823974602152804 0.815 0.856 0.783
49 +Run5_v13. 0.830775030715119 0.817 0.859 0.783
50 +Run6_v10. 0.8514396351676051 0.813 0.925 0.750
51 +Run6_v11. 0.8443013668504182 0.816 0.857 0.783
52 +Run6_v12. 0.8434032566660784 0.815 0.919 0.754
53 +Run6_v13. 0.8577895989909314 0.814 0.861 0.777
54 +Run7_v10. 0.8376625935961355 0.815 0.850 0.787
55 +Run7_v11. 0.8381889879918965 0.813 0.909 0.758
56 +Run7_v12. 0.8349604346257782 0.811 0.908 0.756
57 +Run7_v13. 0.836408383376389 0.821 0.860 0.789
58 +Run8_v10. 0.841060076118789 0.816 0.857 0.783
59 +Run8_v11. 0.843848676674025 0.818 0.914 0.760
60 +Run8_v12. 0.8426311049791738 0.818 0.858 0.785
61 +Run8_v13. 0.8433941367984498 0.823 0.862 0.791
62 +Run9_v10. 0.8189566663670631 0.812 0.843 0.787
63 +Run9_v11. 0.8186349956286322 0.799 0.827 0.779
64 +Run9_v12. 0.8193729864282642 0.807 0.850 0.773
65 +Run9_v13. 0.8163619170548052 0.803 0.839 0.773
......