Enum: MLAlgorithmEnum

Permissible Values

Value	Meaning	Description
RANDOM_FOREST	None	Random Forest algorithm
SUPPORT_VECTOR_MACHINE	OBI:0000700	Support Vector Machine
NEURAL_NETWORK	None	Artificial Neural Networks
DEEP_LEARNING	None	Deep learning models
GRADIENT_BOOSTING	MESH:D000098404	Gradient boosting methods
LINEAR_REGRESSION	OBI:0200103	Linear regression models
LOGISTIC_REGRESSION	OBI:0200002	Logistic regression models
NAIVE_BAYES	None	Naive Bayes classifier
K_MEANS	OBI:0200041	K-means clustering
REINFORCEMENT_LEARNING	None	Reinforcement learning approaches

Slots

Name	Description
ml_algorithm	Type of machine learning algorithm used

Identifier and Mapping Information

Schema Source

from schema: https://w3id.org/monarch-initiative/namo

LinkML Source

name: MLAlgorithmEnum
from_schema: https://w3id.org/monarch-initiative/namo
rank: 1000
permissible_values:
  RANDOM_FOREST:
    text: RANDOM_FOREST
    description: Random Forest algorithm
  SUPPORT_VECTOR_MACHINE:
    text: SUPPORT_VECTOR_MACHINE
    description: Support Vector Machine
    meaning: OBI:0000700
  NEURAL_NETWORK:
    text: NEURAL_NETWORK
    description: Artificial Neural Networks
  DEEP_LEARNING:
    text: DEEP_LEARNING
    description: Deep learning models
  GRADIENT_BOOSTING:
    text: GRADIENT_BOOSTING
    description: Gradient boosting methods
    meaning: MESH:D000098404
  LINEAR_REGRESSION:
    text: LINEAR_REGRESSION
    description: Linear regression models
    meaning: OBI:0200103
  LOGISTIC_REGRESSION:
    text: LOGISTIC_REGRESSION
    description: Logistic regression models
    meaning: OBI:0200002
  NAIVE_BAYES:
    text: NAIVE_BAYES
    description: Naive Bayes classifier
  K_MEANS:
    text: K_MEANS
    description: K-means clustering
    meaning: OBI:0200041
  REINFORCEMENT_LEARNING:
    text: REINFORCEMENT_LEARNING
    description: Reinforcement learning approaches