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Rerun README
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@awunderground
awunderground committed Oct 25, 2024
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246 changes: 122 additions & 124 deletions README.md
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Expand Up @@ -76,7 +76,6 @@ util_proportions(
```

# A tibble: 2 × 5
# Groups: variable [1]
variable class synthetic original difference
<chr> <fct> <dbl> <dbl> <dbl>
1 sex female 0.529 0.495 0.0330
Expand All @@ -92,7 +91,6 @@ util_proportions(
```

# A tibble: 8 × 5
# Groups: variable [3]
variable class synthetic original difference
<chr> <fct> <dbl> <dbl> <dbl>
1 island Biscoe 0.465 0.489 -0.0240
Expand Down Expand Up @@ -470,16 +468,16 @@ disc1 |>
# A tibble: 666 × 10
.pred_synthetic .source_label .sample species island sex bill_length_mm
<dbl> <fct> <chr> <fct> <fct> <fct> <dbl>
1 0.290 original training Adelie Torgersen male 39.1
2 0.290 original training Adelie Torgersen fema… 39.5
3 0.290 original training Adelie Torgersen fema… 40.3
4 0.656 original training Adelie Torgersen fema… 36.7
5 0.290 original testing Adelie Torgersen male 39.3
6 0.290 original training Adelie Torgersen fema… 38.9
7 0.290 original testing Adelie Torgersen male 39.2
8 0.290 original training Adelie Torgersen fema… 41.1
9 0.290 original testing Adelie Torgersen male 38.6
10 0.656 original training Adelie Torgersen male 34.6
1 0.0556 original training Adelie Torgersen male 39.1
2 0.355 original training Adelie Torgersen fema… 39.5
3 0.636 original training Adelie Torgersen fema… 40.3
4 0.375 original training Adelie Torgersen fema… 36.7
5 0.76 original testing Adelie Torgersen male 39.3
6 0.355 original training Adelie Torgersen fema… 38.9
7 0.375 original training Adelie Torgersen male 39.2
8 0.355 original training Adelie Torgersen fema… 41.1
9 0.4 original training Adelie Torgersen male 38.6
10 0.789 original testing Adelie Torgersen male 34.6
# ℹ 656 more rows
# ℹ 3 more variables: bill_depth_mm <dbl>, flipper_length_mm <dbl>,
# body_mass_g <dbl>
Expand All @@ -498,66 +496,66 @@ disc1 |>
node), split, n, loss, yval, (yprob)
* denotes terminal node

1) root 498 249 synthetic (0.5000000 0.5000000)
2) bill_length_mm< 38.25 115 46 synthetic (0.6000000 0.4000000)
4) body_mass_g>=3187.5 90 31 synthetic (0.6555556 0.3444444) *
5) body_mass_g< 3187.5 25 10 original (0.4000000 0.6000000)
10) bill_depth_mm>=17.6 11 4 synthetic (0.6363636 0.3636364) *
11) bill_depth_mm< 17.6 14 3 original (0.2142857 0.7857143) *
3) bill_length_mm>=38.25 383 180 original (0.4699739 0.5300261)
6) island=Biscoe,Dream 352 171 original (0.4857955 0.5142045)
12) body_mass_g< 3375 28 9 synthetic (0.6785714 0.3214286) *
13) body_mass_g>=3375 324 152 original (0.4691358 0.5308642)
26) bill_length_mm>=41.2 280 136 original (0.4857143 0.5142857)
52) flipper_length_mm< 189.5 18 4 synthetic (0.7777778 0.2222222) *
53) flipper_length_mm>=189.5 262 122 original (0.4656489 0.5343511)
106) body_mass_g>=3587.5 252 120 original (0.4761905 0.5238095)
212) flipper_length_mm< 192.5 15 5 synthetic (0.6666667 0.3333333) *
213) flipper_length_mm>=192.5 237 110 original (0.4641350 0.5358650)
426) body_mass_g>=4287.5 185 91 original (0.4918919 0.5081081)
852) bill_length_mm>=50.45 40 15 synthetic (0.6250000 0.3750000)
1704) bill_length_mm< 52.35 30 8 synthetic (0.7333333 0.2666667) *
1705) bill_length_mm>=52.35 10 3 original (0.3000000 0.7000000) *
853) bill_length_mm< 50.45 145 66 original (0.4551724 0.5448276)
1706) bill_length_mm< 47.05 80 37 synthetic (0.5375000 0.4625000)
3412) bill_length_mm>=46.65 8 1 synthetic (0.8750000 0.1250000) *
3413) bill_length_mm< 46.65 72 36 synthetic (0.5000000 0.5000000)
6826) body_mass_g< 5025 58 26 synthetic (0.5517241 0.4482759) *
6827) body_mass_g>=5025 14 4 original (0.2857143 0.7142857) *
1707) bill_length_mm>=47.05 65 23 original (0.3538462 0.6461538)
3414) bill_depth_mm>=15.65 28 14 synthetic (0.5000000 0.5000000)
6828) body_mass_g< 5525 12 3 synthetic (0.7500000 0.2500000) *
6829) body_mass_g>=5525 16 5 original (0.3125000 0.6875000) *
3415) bill_depth_mm< 15.65 37 9 original (0.2432432 0.7567568) *
427) body_mass_g< 4287.5 52 19 original (0.3653846 0.6346154)
854) bill_depth_mm>=19.65 12 4 synthetic (0.6666667 0.3333333) *
855) bill_depth_mm< 19.65 40 11 original (0.2750000 0.7250000) *
107) body_mass_g< 3587.5 10 2 original (0.2000000 0.8000000) *
27) bill_length_mm< 41.2 44 16 original (0.3636364 0.6363636)
54) bill_depth_mm>=18.95 17 7 synthetic (0.5882353 0.4117647) *
55) bill_depth_mm< 18.95 27 6 original (0.2222222 0.7777778) *
7) island=Torgersen 31 9 original (0.2903226 0.7096774) *
1) root 498 249 synthetic (0.50000000 0.50000000)
2) bill_length_mm< 34.8 19 4 synthetic (0.78947368 0.21052632) *
3) bill_length_mm>=34.8 479 234 original (0.48851775 0.51148225)
6) bill_depth_mm>=18.85 99 44 synthetic (0.55555556 0.44444444)
12) bill_length_mm< 50.35 85 32 synthetic (0.62352941 0.37647059)
24) species=Chinstrap 21 2 synthetic (0.90476190 0.09523810) *
25) species=Adelie 64 30 synthetic (0.53125000 0.46875000)
50) flipper_length_mm< 192.5 40 15 synthetic (0.62500000 0.37500000)
100) bill_length_mm>=38.9 25 6 synthetic (0.76000000 0.24000000) *
101) bill_length_mm< 38.9 15 6 original (0.40000000 0.60000000) *
51) flipper_length_mm>=192.5 24 9 original (0.37500000 0.62500000) *
13) bill_length_mm>=50.35 14 2 original (0.14285714 0.85714286) *
7) bill_depth_mm< 18.85 380 179 original (0.47105263 0.52894737)
14) bill_length_mm>=50.55 45 17 synthetic (0.62222222 0.37777778) *
15) bill_length_mm< 50.55 335 151 original (0.45074627 0.54925373)
30) bill_length_mm< 46.05 218 107 original (0.49082569 0.50917431)
60) bill_depth_mm< 18.25 177 83 synthetic (0.53107345 0.46892655)
120) bill_depth_mm>=13.75 169 77 synthetic (0.54437870 0.45562130)
240) bill_length_mm>=36.55 142 61 synthetic (0.57042254 0.42957746)
480) bill_length_mm< 38.35 27 8 synthetic (0.70370370 0.29629630) *
481) bill_length_mm>=38.35 115 53 synthetic (0.53913043 0.46086957)
962) bill_length_mm>=41.65 73 29 synthetic (0.60273973 0.39726027) *
963) bill_length_mm< 41.65 42 18 original (0.42857143 0.57142857)
1926) flipper_length_mm>=193.5 11 4 synthetic (0.63636364 0.36363636) *
1927) flipper_length_mm< 193.5 31 11 original (0.35483871 0.64516129) *
241) bill_length_mm< 36.55 27 11 original (0.40740741 0.59259259) *
121) bill_depth_mm< 13.75 8 2 original (0.25000000 0.75000000) *
61) bill_depth_mm>=18.25 41 13 original (0.31707317 0.68292683)
122) flipper_length_mm>=191.5 23 11 synthetic (0.52173913 0.47826087)
244) bill_depth_mm>=18.55 10 2 synthetic (0.80000000 0.20000000) *
245) bill_depth_mm< 18.55 13 4 original (0.30769231 0.69230769) *
123) flipper_length_mm< 191.5 18 1 original (0.05555556 0.94444444) *
31) bill_length_mm>=46.05 117 44 original (0.37606838 0.62393162)
62) flipper_length_mm>=229.5 9 3 synthetic (0.66666667 0.33333333) *
63) flipper_length_mm< 229.5 108 38 original (0.35185185 0.64814815)
126) flipper_length_mm< 214.5 54 24 original (0.44444444 0.55555556)
252) body_mass_g>=3925 26 10 synthetic (0.61538462 0.38461538) *
253) body_mass_g< 3925 28 8 original (0.28571429 0.71428571) *
127) flipper_length_mm>=214.5 54 14 original (0.25925926 0.74074074) *

$discriminator_auc
# A tibble: 2 × 4
.sample .metric .estimator .estimate
<fct> <chr> <chr> <dbl>
1 training roc_auc binary 0.726
2 testing roc_auc binary 0.449
1 training roc_auc binary 0.743
2 testing roc_auc binary 0.461

$pmse
# A tibble: 2 × 4
.source .pmse .null_pmse .pmse_ratio
<fct> <dbl> <dbl> <dbl>
1 training 0.0417 0.0374 1.12
2 testing 0.0450 0.0361 1.25
1 training 0.0465 0.0327 1.42
2 testing 0.0483 0.0325 1.49

$specks
# A tibble: 2 × 2
.source .specks
<fct> <dbl>
1 training 0.382
2 testing 0.107
1 training 0.386
2 testing 0.0833

attr(,"class")
[1] "discrimination"
Expand Down Expand Up @@ -655,16 +653,16 @@ disc2 |>
# A tibble: 666 × 10
.pred_synthetic .source_label .sample species island sex bill_length_mm
<dbl> <fct> <chr> <fct> <fct> <fct> <dbl>
1 0.439 original testing Adelie Torgersen male 39.1
2 0.483 original testing Adelie Torgersen fema… 39.5
3 0.461 original training Adelie Torgersen fema… 40.3
4 0.499 original training Adelie Torgersen fema… 36.7
5 0.443 original training Adelie Torgersen male 39.3
6 0.511 original training Adelie Torgersen fema… 38.9
7 0.416 original testing Adelie Torgersen male 39.2
8 0.492 original training Adelie Torgersen fema… 41.1
9 0.456 original training Adelie Torgersen male 38.6
10 0.447 original training Adelie Torgersen male 34.6
1 0.5 original training Adelie Torgersen male 39.1
2 0.5 original training Adelie Torgersen fema… 39.5
3 0.5 original training Adelie Torgersen fema… 40.3
4 0.5 original training Adelie Torgersen fema… 36.7
5 0.5 original testing Adelie Torgersen male 39.3
6 0.5 original testing Adelie Torgersen fema… 38.9
7 0.5 original training Adelie Torgersen male 39.2
8 0.5 original training Adelie Torgersen fema… 41.1
9 0.5 original training Adelie Torgersen male 38.6
10 0.5 original testing Adelie Torgersen male 34.6
# ℹ 656 more rows
# ℹ 3 more variables: bill_depth_mm <dbl>, flipper_length_mm <dbl>,
# body_mass_g <dbl>
Expand All @@ -686,76 +684,76 @@ disc2 |>
Call: glmnet::glmnet(x = maybe_matrix(x), y = y, family = "binomial", alpha = ~1)

Df %Dev Lambda
1 0 0.00 0.047070
2 1 0.11 0.042890
3 1 0.20 0.039080
4 1 0.27 0.035600
5 2 0.37 0.032440
6 2 0.48 0.029560
7 3 0.57 0.026930
8 3 0.65 0.024540
9 4 0.74 0.022360
10 5 0.85 0.020370
11 6 0.97 0.018560
12 6 1.09 0.016920
13 6 1.20 0.015410
14 6 1.29 0.014040
15 6 1.36 0.012800
16 6 1.42 0.011660
17 6 1.48 0.010620
18 6 1.52 0.009679
19 7 1.56 0.008820
20 8 1.60 0.008036
21 8 1.64 0.007322
22 8 1.67 0.006672
23 8 1.69 0.006079
24 9 1.73 0.005539
25 9 1.79 0.005047
26 9 1.84 0.004599
27 10 1.88 0.004190
28 10 1.91 0.003818
29 11 1.94 0.003479
30 11 1.96 0.003170
31 11 1.98 0.002888
32 11 2.00 0.002631
33 11 2.01 0.002398
34 12 2.03 0.002185
35 12 2.04 0.001991
36 12 2.05 0.001814
37 12 2.06 0.001653
38 12 2.06 0.001506
39 13 2.07 0.001372
40 13 2.08 0.001250
41 13 2.08 0.001139
42 13 2.09 0.001038
43 13 2.09 0.000946
44 13 2.09 0.000862
45 13 2.10 0.000785
46 13 2.10 0.000715
1 0 0.00 0.041780
2 1 0.09 0.038070
3 1 0.16 0.034680
4 1 0.22 0.031600
5 2 0.27 0.028800
6 2 0.36 0.026240
7 2 0.43 0.023910
8 4 0.51 0.021780
9 4 0.58 0.019850
10 4 0.63 0.018080
11 4 0.68 0.016480
12 6 0.72 0.015010
13 6 0.78 0.013680
14 6 0.83 0.012460
15 6 0.87 0.011360
16 7 0.90 0.010350
17 7 0.94 0.009429
18 7 0.97 0.008592
19 7 0.99 0.007828
20 7 1.02 0.007133
21 8 1.06 0.006499
22 8 1.15 0.005922
23 8 1.22 0.005396
24 9 1.29 0.004916
25 9 1.34 0.004480
26 11 1.39 0.004082
27 11 1.44 0.003719
28 11 1.49 0.003389
29 11 1.53 0.003088
30 11 1.56 0.002813
31 11 1.58 0.002563
32 11 1.61 0.002336
33 11 1.62 0.002128
34 11 1.64 0.001939
35 11 1.65 0.001767
36 12 1.66 0.001610
37 12 1.68 0.001467
38 12 1.69 0.001337
39 12 1.70 0.001218
40 11 1.70 0.001110
41 11 1.71 0.001011
42 11 1.71 0.000921
43 11 1.72 0.000839
44 11 1.72 0.000765
45 11 1.72 0.000697
46 11 1.73 0.000635

...
and 5 more lines.
and 6 more lines.

$discriminator_auc
# A tibble: 2 × 4
.sample .metric .estimator .estimate
<fct> <chr> <chr> <dbl>
1 training roc_auc binary 0.589
2 testing roc_auc binary 0.428
1 training roc_auc binary 0.5
2 testing roc_auc binary 0.5

$pmse
# A tibble: 2 × 4
.source .pmse .null_pmse .pmse_ratio
<fct> <dbl> <dbl> <dbl>
1 training 0.00385 0.00272 1.41
2 testing 0.00413 0.00280 1.47
.source .pmse .null_pmse .pmse_ratio
<fct> <dbl> <dbl> <dbl>
1 training 1.23e-32 1.23e-32 1
2 testing 1.23e-32 1.23e-32 1

$specks
# A tibble: 2 × 2
.source .specks
<fct> <dbl>
1 training 0.137
2 testing 0.131
.source .specks
<fct> <dbl>
1 training 4.86e-17
2 testing 6.94e-17

attr(,"class")
[1] "discrimination"
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