Test
Segmentation KHT - Machine Learning
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Preguntas del test (7)
1Which sentence from the following, regarding Segmentation, is CORRECT?
- AThe goal is to create some groups
- BIt is similar to Classification
- CThe goal is to find natural groups
- DIt is a supervised task
2What is the most important validation criterion in Segmentation?
- ASilhouette statistic
- BFind segments available and actionable
- CAppropriate labels on groups
- DSegments size greater than 5%
3Which, from the following, is something that we don´t decide when running a Segmentation?
- AA measure of distance
- BClustering procedure
- CNumber of clusters
- DSegment profiles
4Which one from the following is CORRECT regarding Correlation Analysis and Standardization in relation to Segmentation?
- ABoth are mandatory always before Segmentation
- BCorrelation analysis is recommended, but not mandatory
- CStandardization is not necessary if all variables have same units
- DBoth are recommended, but optional
5Which sentence is FALSE in Segmentation?
- ASilhouette is one of the most important technical criterion
- BSilhouette range goes from -1 to 1
- CClustering variables are not used to calculate profiles
- DCluster analysis is not an inference technique
6Which, from the following, is NOT TRUE regarding K-means?
- AIt is valid for large datasets
- BYou should decide on number of groups
- CIt is somehow dependent on initial cluster's centers
- DYou always decide the measure of distance
7Which one is CORRECT regarding Interactive clustering algorithm in Dataiku?
- AIt does not allow the handling of outliers
- BEnables you to impute missing values
- CDimension reduction is disabled for this algorithm
- DIt allows to run it with different values of k (number of groups)
Información
- Descripción
- Informática Test sobre Segmentation KHT - Machine Learning, creado por Angel Intriago el 12/12/2021.
- Autor
- Angel Intriago
- Idioma
- English
- Visitas
- 6
- Historial
- Creado el 12 dic 2021 · actualizado el 13 dic 2021
- Etiquetas
- Valoración
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