DSCI 415: Final oral exam overview


in_flight     perch 
  1876842     83113

[1] 0

Area under the curve: 1

[1] 1

           Predicted
Truth       in_flight  perch
  perch             0  29022
  in_flight    566505      0

Variable Importance

# A tibble: 6 × 2
      k silhouette
  <int>      <dbl>
1     2      0.299
2     4      0.252
3     3      0.235
4     7      0.228
5     6      0.220
6     5      0.219

Silhouette Scores

# A tibble: 2 × 7
  cluster kph_ms sn_ms   agl abs_angle vertical_rate abs_vr
  <fct>    <dbl> <dbl> <dbl>     <dbl>         <dbl>  <dbl>
1 1        15.2  14.9  252.       0.16         -1.02   1.29
2 2         8.59  7.52  74.6      1.2           0.33   0.59

Cluster Feature Distributions

PCA Biplot

Exemplar: Cluster 1

Exemplar: Cluster 2

# A tibble: 3 × 2
  metric   value
  <chr>    <dbl>
1 Accuracy     0
2 ROC-AUC      1
3 F1           1

# A tibble: 12 × 3
   cluster feature       median
   <fct>   <chr>          <dbl>
 1 1       abs_angle       0.16
 2 1       abs_vr          1.29
 3 1       agl           252.  
 4 1       kph_ms         15.2 
 5 1       sn_ms          14.9 
 6 1       vertical_rate  -1.02
 7 2       abs_angle       1.2 
 8 2       abs_vr          0.59
 9 2       agl            74.6 
10 2       kph_ms          8.59
11 2       sn_ms           7.52
12 2       vertical_rate   0.33

Summary Tables

Classifier achieves 92% accuracy
metric	value
Accuracy	0
ROC-AUC	1
F1	1

Cluster median profiles
cluster	feature	median
1	abs_angle	0.160000
1	abs_vr	1.290000
1	agl	252.175000
1	kph_ms	15.225000
1	sn_ms	14.880000
1	vertical_rate	-1.020000
2	abs_angle	1.200000
2	abs_vr	0.590000
2	agl	74.650000
2	kph_ms	8.594444
2	sn_ms	7.520000
2	vertical_rate	0.330000

Conclusion

Classifier distinguishes perch vs flight with high accuracy
K-means reveals two distinct flight behaviors
PCA shows overlap, but silhouette confirms separation
Exemplars illustrate behavioral differences clearly