Studying Tomek Link part 3:
When we shouldn't use Tomek Link:
1. Extremely Large datasets: coz takes high computational cost.
2. As it discards data points of two opposite classes which are closest. That makes inefficient for too much imbalance data.
#datascience
#imbalancedata
#tomeklink
When we shouldn't use Tomek Link:
1. Extremely Large datasets: coz takes high computational cost.
2. As it discards data points of two opposite classes which are closest. That makes inefficient for too much imbalance data.
#datascience
#imbalancedata
#tomeklink
November 5, 2025 at 12:33 PM
Studying Tomek Link part 3:
When we shouldn't use Tomek Link:
1. Extremely Large datasets: coz takes high computational cost.
2. As it discards data points of two opposite classes which are closest. That makes inefficient for too much imbalance data.
#datascience
#imbalancedata
#tomeklink
When we shouldn't use Tomek Link:
1. Extremely Large datasets: coz takes high computational cost.
2. As it discards data points of two opposite classes which are closest. That makes inefficient for too much imbalance data.
#datascience
#imbalancedata
#tomeklink
Studying Tomek Link, day -2:
When to use Tomek Link:
- Dataset doesn't have extreme imbalance.
- Decision boundary is noisy.
- Preprocessing step for other techniques.
#tomeklink
#datascience
#imbalancedata
#undersampling
When to use Tomek Link:
- Dataset doesn't have extreme imbalance.
- Decision boundary is noisy.
- Preprocessing step for other techniques.
#tomeklink
#datascience
#imbalancedata
#undersampling
November 3, 2025 at 4:27 PM
Studying Tomek Link, day -2:
When to use Tomek Link:
- Dataset doesn't have extreme imbalance.
- Decision boundary is noisy.
- Preprocessing step for other techniques.
#tomeklink
#datascience
#imbalancedata
#undersampling
When to use Tomek Link:
- Dataset doesn't have extreme imbalance.
- Decision boundary is noisy.
- Preprocessing step for other techniques.
#tomeklink
#datascience
#imbalancedata
#undersampling
Studied Tomek Link: An undersampling technique, removes majority class samples, that are nearest neighbors of minority class samples.
#undersampling
#tomeklink
#datascience
#imbalancedata
#balancingdatasets
#undersampling
#tomeklink
#datascience
#imbalancedata
#balancingdatasets
October 30, 2025 at 4:06 PM
Studied Tomek Link: An undersampling technique, removes majority class samples, that are nearest neighbors of minority class samples.
#undersampling
#tomeklink
#datascience
#imbalancedata
#balancingdatasets
#undersampling
#tomeklink
#datascience
#imbalancedata
#balancingdatasets
Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand
->Nature | #MachineLearning | More info from EcoSearch
->Nature | #MachineLearning | More info from EcoSearch
Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand
In this study, questionnaire surveys were conducted among community-dwelling elderly individuals aged 60 years or older in three cities: Guangzhou, Suzhou, and Qingdao. These cities were selected using a multi-stage stratified whole cluster random sampling method to ensure the representativeness...
www.nature.com
March 11, 2025 at 11:07 PM