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2) Gen model
Phenotype: SM300-Efficiency Model: Random Forest Significance: No Data: 54 SNP's Purpose: Create a model for each gene (total of 54).
4) Best model
Phenotype: SM300-Efficiency
Model: Random Forest
Significance: No
Data: 3 SNP's
Purpose: Perform a grid search to improve the parameters of the previously trained random forest regression model with 3 SNP's.
3) Top model
Phenotype: SM300-Efficiency
Model: Random Forest
Significance: No
Data: 20 SNP's (Most important)
Purpose: Build models progressively, adding genes with higher importance for the phenotype (20 most important).
1) Base model
Phenotype: SM300-Efficiency
Model: Random Forest
Significance: No
Data: 54 SNP's
Purpose: Build a baseline model using all the SNP's (54).