You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Eating disorders, such as anorexia nervosa, bulimia nervosa, and binge eating disorder, are serious mental health conditions characterized by abnormal eating habits and distorted body im�age. These disorders often stem from a combination of genetic, psychological, and social factors. Individuals may restrict food intake, engage in binge eating followed by purging behaviors, or compulsively overeat. Eating disorders can have devastating effects on physical health, leading to malnutrition, electrolyte imbalances, and organ damage. Psychological impacts include depression, anxiety, and low self-esteem. Treatment typically involves a combination of therapy, nutritional counseling, and medical supervision to address both physical and mental aspects of the disorder.
Results
Performance Metrics for Section A
Metric
MNB
LSVM
LogReg
NN
MAE
2.341
1.974
2.044
2.586
MZOE
0.675
0.701
0.672
0.765
MAE_m
1.745
1.560
1.627
1.783
GED
1.838
1.361
1.542
2.337
RS
2.579
1.987
2.432
2.745
ECS
3.017
1.627
2.148
2.801
SCS
1.914
1.418
1.623
2.240
WCS
1.914
1.418
1.623
2.240
Performance Metrics for Section B
Metric
MNB
LSVM
LogReg
MAE
3.360
2.127
2.399
MZOE
0.815
0.619
0.731
MAE_m
2.286
1.974
1.791
GED
3.677
2.570
2.613
RS
3.694
3.071
2.992
ECS
3.185
2.714
2.581
SCS
4.278
2.487
2.907
WCS
3.823
2.497
2.524
Performance Metrics For Section C
Metric
LogReg
LSVM
RF
GB
MAE
2.185
2.370
2.401
2.464
MZOE
0.630
0.657
0.687
0.784
MAE_m
1.992
2.035
2.005
1.780
GED
2.660
2.743
2.730
2.576
RS
3.000
3.071
3.025
2.758
ECS
2.888
2.672
2.527
2.288
SCS
2.735
2.999
2.946
3.082
WCS
2.494
2.634
2.878
2.647
Performance Metrics for Section D
Model
LogReg
LSVM
RF
GB
MAE
2.005
1.950
1.974
1.849
MZOE
0.696
0.672
0.755
0.756
MAE_m
1.542
1.593
1.548
1.413
GED
1.580
1.512
1.607
1.387
RS
2.222
2.245
2.091
1.975
ECS
2.547
2.423
2.022
1.585
SCS
1.439
1.511
1.701
1.446
WCS
1.422
1.416
1.551
1.666
Performance Metrics for Section E
Metric
LogReg
LSVM
RF
GB
MAE
2.125
2.026
1.943
1.875
MZOE
0.703
0.682
0.760
0.756
MAE_m
1.638
1.668
1.580
1.502
GED
1.582
1.545
1.756
1.492
RS
2.145
2.323
2.425
2.432
ECS
2.642
2.353
2.046
1.600
SCS
1.567
1.430
1.672
1.532
WCS
1.717
1.515
1.778
1.403
Model Abbreviation Glossary
Abbreviation
Full Form
LogReg
Logistic Regression
NMB
Multinomial Naive Bayes
LSVM
Linear Support Vector Machine
NN
Neural Network
RF
Random Forest
GB
Gradient Boosting
About
The objective involves evaluating the manifestation of characteristics linked to eating disorders based on user-contributed posts. A series of user submissions will be given and the ask is to complete a standardized questionnaire on eating disorders for each user. Developed for the IT350 (Data Analytics) mini project.