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CRF/data-sets/test-data-set-30-NER.txt
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CRF/data-sets/training-data-set-70-NER.txt
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CRF/figures/line-plots-CRF-v1.0.R
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1 | -# Based on http://www.sthda.com/english/wiki/ggplot2-line-plot-quick-start-guide-r-software-and-data-visualization | ||
2 | - | ||
3 | -library(ggplot2) | ||
4 | -#library(ggpubr) | ||
5 | -#library(cowplot) | ||
6 | - | ||
7 | -######### BEST MODELS ########## | ||
8 | - | ||
9 | -# Run1 | ||
10 | -# Todas las condiciones | ||
11 | -dfa <- data.frame(Measure=rep(c("Precision", "Recall", "F1-score"), each=15), | ||
12 | - Strategy=rep(c( | ||
13 | - "Agit", | ||
14 | - "Gversion", | ||
15 | - "Substrain", | ||
16 | - "Vess", | ||
17 | - "OD", | ||
18 | - "Anti", | ||
19 | - "Supp", | ||
20 | - "Air", | ||
21 | - "Gtype", | ||
22 | - "Med", | ||
23 | - "Temp", | ||
24 | - "Technique", | ||
25 | - "Phase", | ||
26 | - "pH", | ||
27 | - "Strain" | ||
28 | - ),3), | ||
29 | - Score=c( | ||
30 | - 0, | ||
31 | - 0, | ||
32 | - 0, | ||
33 | - 0, | ||
34 | - 1, | ||
35 | - 1, | ||
36 | - 0.883, | ||
37 | - 0.92, | ||
38 | - 0.905, | ||
39 | - 0.852, | ||
40 | - 0.818, | ||
41 | - 0.88, | ||
42 | - 1, | ||
43 | - 1, | ||
44 | - 1, | ||
45 | - 0, | ||
46 | - 0, | ||
47 | - 0, | ||
48 | - 0, | ||
49 | - 0.405, | ||
50 | - 0.444, | ||
51 | - 0.669, | ||
52 | - 0.742, | ||
53 | - 0.811, | ||
54 | - 0.912, | ||
55 | - 1, | ||
56 | - 1, | ||
57 | - 0.947, | ||
58 | - 1, | ||
59 | - 1, | ||
60 | - 0, | ||
61 | - 0, | ||
62 | - 0, | ||
63 | - 0, | ||
64 | - 0.577, | ||
65 | - 0.615, | ||
66 | - 0.762, | ||
67 | - 0.821, | ||
68 | - 0.856, | ||
69 | - 0.881, | ||
70 | - 0.9, | ||
71 | - 0.936, | ||
72 | - 0.973, | ||
73 | - 1, | ||
74 | - 1 | ||
75 | - )) | ||
76 | - | ||
77 | -# Solo condiciones con F1-score > 0 | ||
78 | -# Run 1 | ||
79 | -df <- data.frame(Measure=rep(c("Precision", "Recall", "F1-score"), each=11), | ||
80 | - Strategy=rep(c( | ||
81 | - "OD", | ||
82 | - "Anti", | ||
83 | - "Supp", | ||
84 | - "Air", | ||
85 | - "Gtype", | ||
86 | - "Med", | ||
87 | - "Temp", | ||
88 | - "Technique", | ||
89 | - "Phase", | ||
90 | - "pH", | ||
91 | - "Strain" | ||
92 | - ),3), | ||
93 | - Score=c( | ||
94 | - 1, | ||
95 | - 1, | ||
96 | - 0.883, | ||
97 | - 0.92, | ||
98 | - 0.905, | ||
99 | - 0.852, | ||
100 | - 0.818, | ||
101 | - 0.88, | ||
102 | - 1, | ||
103 | - 1, | ||
104 | - 1, | ||
105 | - 0.405, | ||
106 | - 0.444, | ||
107 | - 0.669, | ||
108 | - 0.742, | ||
109 | - 0.811, | ||
110 | - 0.912, | ||
111 | - 1, | ||
112 | - 1, | ||
113 | - 0.947, | ||
114 | - 1, | ||
115 | - 1, | ||
116 | - 0.577, | ||
117 | - 0.615, | ||
118 | - 0.762, | ||
119 | - 0.821, | ||
120 | - 0.856, | ||
121 | - 0.881, | ||
122 | - 0.9, | ||
123 | - 0.936, | ||
124 | - 0.973, | ||
125 | - 1, | ||
126 | - 1 | ||
127 | - )) | ||
128 | - | ||
129 | -head(df) | ||
130 | - | ||
131 | -pa<-ggplot(df, aes(x=Strategy, y=Score, group=Measure)) + | ||
132 | - geom_line(aes(color=Measure))+ | ||
133 | - geom_point(aes(color=Measure))+ | ||
134 | - scale_color_manual(values=c("#999999", "#E69F00", "#56B4E9"))+ | ||
135 | - #scale_color_manual(values=c("#e6194b", "#3cb44b", "#0082c8"))+ | ||
136 | - #geom_text(aes(label = Score))+ | ||
137 | - labs(title="Scores by condition (Best model, Run1)",x="Condition", y = "Score")+ | ||
138 | - theme( | ||
139 | - legend.position="top", | ||
140 | - # Centrar título: plot.title = element_text(hjust = 0.5), | ||
141 | - axis.line = element_line(colour = "gray"), | ||
142 | - panel.background = element_blank(), | ||
143 | - panel.grid.major = element_blank(), | ||
144 | - panel.grid.minor = element_blank(), | ||
145 | - panel.border = element_blank() | ||
146 | - ) | ||
147 | -pa | ||
148 | - | ||
149 | -ggsave(".png") | ||
150 | - | ||
151 | -# Solo condiciones con F1-score > 0 | ||
152 | -# Run 7 | ||
153 | -df <- data.frame(Measure=rep(c("Precision", "Recall", "F1-score"), each=11), | ||
154 | - Strategy=rep(c( | ||
155 | - "Anti", | ||
156 | - "OD", | ||
157 | - "Supp", | ||
158 | - "Air", | ||
159 | - "Gtype", | ||
160 | - "Temp", | ||
161 | - "Med", | ||
162 | - "Technique", | ||
163 | - "Phase", | ||
164 | - "pH", | ||
165 | - "Strain" | ||
166 | - ),3), | ||
167 | - Score=c( | ||
168 | - 0.571, | ||
169 | - 1, | ||
170 | - 0.886, | ||
171 | - 0.939, | ||
172 | - 0.876, | ||
173 | - 0.818, | ||
174 | - 0.897, | ||
175 | - 0.952, | ||
176 | - 1, | ||
177 | - 1, | ||
178 | - 1, | ||
179 | - 0.444, | ||
180 | - 0.405, | ||
181 | - 0.684, | ||
182 | - 0.742, | ||
183 | - 0.802, | ||
184 | - 1, | ||
185 | - 0.912, | ||
186 | - 0.909, | ||
187 | - 0.947, | ||
188 | - 1, | ||
189 | - 1, | ||
190 | - 0.5, | ||
191 | - 0.577, | ||
192 | - 0.772, | ||
193 | - 0.829, | ||
194 | - 0.837, | ||
195 | - 0.9, | ||
196 | - 0.904, | ||
197 | - 0.93, | ||
198 | - 0.973, | ||
199 | - 1, | ||
200 | - 1 | ||
201 | - )) | ||
202 | - | ||
203 | -head(df) | ||
204 | - | ||
205 | -pa<-ggplot(df, aes(x=Strategy, y=Score, group=Measure)) + | ||
206 | - geom_line(aes(color=Measure))+ | ||
207 | - geom_point(aes(color=Measure))+ | ||
208 | - scale_color_manual(values=c("#999999", "#E69F00", "#56B4E9"))+ | ||
209 | - #scale_color_manual(values=c("#e6194b", "#3cb44b", "#0082c8"))+ | ||
210 | - #geom_text(aes(label = Score))+ | ||
211 | - labs(title="Scores by condition (Best model, Run7)",x="Condition", y = "Score")+ | ||
212 | - theme( | ||
213 | - legend.position="top", | ||
214 | - # Centrar título: plot.title = element_text(hjust = 0.5), | ||
215 | - axis.line = element_line(colour = "gray"), | ||
216 | - panel.background = element_blank(), | ||
217 | - panel.grid.major = element_blank(), | ||
218 | - panel.grid.minor = element_blank(), | ||
219 | - panel.border = element_blank() | ||
220 | - ) | ||
221 | -pa | ||
222 | - | ||
223 | -ggsave(".png") | ||
224 | - |
CRF/figures/line-plots-CRF-v2.0.R
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1 | -# Based on http://www.sthda.com/english/wiki/ggplot2-line-plot-quick-start-guide-r-software-and-data-visualization | ||
2 | - | ||
3 | -library(ggplot2) | ||
4 | -#library(ggpubr) | ||
5 | -#library(cowplot) | ||
6 | - | ||
7 | -######### BEST MODEL ########## | ||
8 | - | ||
9 | -# Solo condiciones con F1-score > 0 | ||
10 | -# Run 6 (report_Run6_v11.txt) | ||
11 | -df <- data.frame(Measure=rep(c("Precision", "Recall", "F1-score"), each=11), | ||
12 | - Strategy=rep(c( | ||
13 | - "Air", | ||
14 | - "Anti", | ||
15 | - "Gtype", | ||
16 | - "Med", | ||
17 | - "OD", | ||
18 | - "pH", | ||
19 | - "Phase", | ||
20 | - "Supp", | ||
21 | - "Technique", | ||
22 | - "Temp", | ||
23 | - "Vess" | ||
24 | - ),3), | ||
25 | - Score=c( | ||
26 | - 0.565, | ||
27 | - 1, | ||
28 | - 0.889, | ||
29 | - 1, | ||
30 | - 1, | ||
31 | - 1, | ||
32 | - 0.882, | ||
33 | - 0.811, | ||
34 | - 1, | ||
35 | - 0.923, | ||
36 | - 1, | ||
37 | - 0.377, | ||
38 | - 1, | ||
39 | - 0.847, | ||
40 | - 0.943, | ||
41 | - 0.818, | ||
42 | - 1, | ||
43 | - 1, | ||
44 | - 0.799, | ||
45 | - 0.913, | ||
46 | - 0.828, | ||
47 | - 1, | ||
48 | - 0.452, | ||
49 | - 1, | ||
50 | - 0.867, | ||
51 | - 0.971, | ||
52 | - 0.9, | ||
53 | - 1, | ||
54 | - 0.938, | ||
55 | - 0.805, | ||
56 | - 0.955, | ||
57 | - 0.873, | ||
58 | - 1 | ||
59 | - )) | ||
60 | - | ||
61 | -head(df) | ||
62 | - | ||
63 | -pa<-ggplot(df, aes(x=Strategy, y=Score, group=Measure)) + | ||
64 | - geom_line(aes(color=Measure))+ | ||
65 | - geom_point(aes(color=Measure))+ | ||
66 | - scale_color_manual(values=c("#999999", "#E69F00", "#56B4E9"))+ | ||
67 | - #scale_color_manual(values=c("#e6194b", "#3cb44b", "#0082c8"))+ | ||
68 | - #geom_text(aes(label = Score))+ | ||
69 | - labs(title="Scores by condition (Best model, Run1)",x="Condition", y = "Score")+ | ||
70 | - theme( | ||
71 | - legend.position="top", | ||
72 | - # Centrar título: plot.title = element_text(hjust = 0.5), | ||
73 | - axis.line = element_line(colour = "gray"), | ||
74 | - panel.background = element_blank(), | ||
75 | - panel.grid.major = element_blank(), | ||
76 | - panel.grid.minor = element_blank(), | ||
77 | - panel.border = element_blank() | ||
78 | - ) | ||
79 | -pa | ||
80 | - | ||
81 | -ggsave(".png") | ||
82 | - |
CRF/figures/line-plots-milti-panel.R
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1 | -# Based on http://zevross.com/blog/2019/04/02/easy-multi-panel-plots-in-r-using-facet_wrap-and-facet_grid-from-ggplot2/ | ||
2 | - | ||
3 | -library(ggplot2) | ||
4 | -#library(ggpubr) | ||
5 | -#library(cowplot) | ||
6 | - | ||
7 | -organism = 'ECO' | ||
8 | - | ||
9 | -if (organism == 'ECO') { | ||
10 | -######### ECO DEVELOPMENT DATASET ########## | ||
11 | - | ||
12 | -# ECO-DEV-WITH-EFFECT-COMBINATION: Combination of strategies with effect in E. coli development dataset | ||
13 | -df <- data.frame(Panel=rep(c("Combination of strategies (effect)", "Separated strategies (effect)", "Combination of strategies (no effect)", "Separated strategies (no effect)"), each=12), | ||
14 | - Measure=rep(c("Precision", "Recall", "F1-score"), each=4), | ||
15 | - Strategy=c(rep(c("D", "D+V", "D+V+At", "D+V+At+Au"),3),rep(c("D", "V", "At", "Au"),3)), | ||
16 | - Score=c( | ||
17 | - 0.78, 0.79, 0.81, 0.81, 0.41, 0.56, 0.63, 0.63, 0.53, 0.65, 0.71, 0.71, | ||
18 | - 0.78, 0.89, 0.93, 1.00, 0.41, 0.35, 0.13, 0.01, 0.53, 0.50, 0.23, 0.02, | ||
19 | - 0.82, 0.82, 0.84, 0.84, 0.55, 0.66, 0.72, 0.72, 0.66, 0.73, 0.78, 0.78, | ||
20 | - 0.82, 0.88, 0.94, 1.00, 0.55, 0.39, 0.20, 0.01, 0.66, 0.54, 0.33, 0.02)) | ||
21 | -filename = "ECO-dev-multi-panel.png" | ||
22 | -title_plot = "E. coli development dataset" | ||
23 | -} else if (organism == 'STM') | ||
24 | -{ | ||
25 | -######### STM DEVELOPMENT DATASET ########## | ||
26 | - | ||
27 | -# STM-DEV-WITH-EFFECT-COMBINATION: Combination of strategies with effect in Salmonella evaluation dataset | ||
28 | -df <- data.frame(Panel=rep(c("Combination of strategies (effect)", "Separated strategies (effect)", "Combination of strategies (no effect)", "Separated strategies (no effect)"), each=12), | ||
29 | - Measure=rep(c("Precision", "Recall", "F1-score"), each=4), | ||
30 | - Strategy=c(rep(c("D", "D+V", "D+V+At", "D+V+At+Au"),3),rep(c("D", "V", "At", "Au"),3)), | ||
31 | - Score=c( | ||
32 | - 0.78, 0.77, 0.76, 0.76, 0.33, 0.49, 0.54, 0.54, 0.47, 0.60, 0.63, 0.63, | ||
33 | - 0.78, 0.81, 0.70, 0.88, 0.33, 0.33, 0.10, 0.01, 0.47, 0.47, 0.18, 0.02, | ||
34 | - 0.84, 0.82, 0.81, 0.81, 0.47, 0.59, 0.65, 0.65, 0.60, 0.68, 0.72, 0.72, | ||
35 | - 0.84, 0.84, 0.77, 0.86, 0.47, 0.40, 0.17, 0.01, 0.60, 0.55, 0.27, 0.02)) | ||
36 | -filename = "STM-dev-multi-panel.png" | ||
37 | -title_plot = "Salmonella evaluation dataset" | ||
38 | -} | ||
39 | - | ||
40 | -head(df) | ||
41 | - | ||
42 | -pa<-ggplot(df, aes(x=Strategy, y=Score, group=Measure)) + | ||
43 | - geom_line(aes(color=Measure))+ | ||
44 | - geom_point(aes(color=Measure))+ | ||
45 | - scale_color_manual(values=c("#999999", "#E69F00", "#56B4E9"))+ | ||
46 | - #scale_color_manual(values=c("#e6194b", "#3cb44b", "#0082c8"))+ | ||
47 | - geom_text(aes(label = Score))+ | ||
48 | - labs(title=title_plot,x="Strategies", y = "Score")+ | ||
49 | - #theme_classic()+ | ||
50 | - theme( | ||
51 | - legend.position="top", | ||
52 | - # Centrar título: plot.title = element_text(hjust = 0.5), | ||
53 | - axis.line = element_line(colour = "gray"), | ||
54 | - panel.background = element_blank(), | ||
55 | - panel.grid.major = element_blank(), | ||
56 | - panel.grid.minor = element_blank(), | ||
57 | - panel.border = element_blank(), | ||
58 | - )+ | ||
59 | - facet_wrap(~Panel, scale="free") | ||
60 | - | ||
61 | -ggsave(filename) | ||
62 | - |
CRF/figures/nov13/FiguresGrid.csv
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1 | + Run1 Run2 Run3 Run4 Run5 Run6 Run7 Run8 Run9 | ||
2 | +CV 0.9947569260999198 0.8753659172231524 0.871758460762884 0.8832373623657991 0.8736123942774514 0.8826022112505095 0.8772702934120828 0.8742694109779188 0.9916378145389343 | ||
3 | +f1-score 1.000 0.796 0.762 0.797 0.770 0.802 0.788 0.809 0.995 | ||
4 | +precision 1.000 0.834 0.795 0.837 0.777 0.815 0.803 0.856 1.000 | ||
5 | +recall 1.000 0.769 0.749 0.767 0.778 0.800 0.783 0.772 0.991 |
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