カテゴリー 全て - evaluation - algorithms - models - selection

によって Onur Sürhan 3年前.

155

AutoML Process

The content revolves around various aspects of machine learning, emphasizing the importance of algorithm selection and evaluation metrics. It highlights the process of setting parameters and comparing different algorithms to determine the best fit for a given dataset.

AutoML Process

specifyParameter

getParametricResults

changeParams_'Algorithm'

parametric'Algorithm' Class

select_algorithm

Algorithm Class

init

predict

set_params

parameter_selector

fit

Model Class

CalinskiScore

DaviesScore

SilhouetteScore

Score

EvaluationMetrics Class

Compare Algorithms Class

showLabels

getLabels

CompareOtherEvaluationScores

decideTheBest

constructingClasses

Read CSV/Excel

Algorithm selection

AutoML Main Code

Type in the name of the project that is under review, and press Enter.