Step 3: Prepare ML tables
Feb 12 – Feb 26 | Prepare ML tables
Last updated
Feb 12 – Feb 26 | Prepare ML tables
Last updated
The current Step 3 - Prepare ML tables step is divided into five parts, and involves preparing Machine Learning tables using the extracted features from Step 2 - Extract Data of the Testing Phase as follows:
Reduce Extracted Features: Use the Input Module to reduce the large CSV files obtained from the previous step via Principal Component Analysis (PCA) and Spearman correlation.
Merge All Data: Combine the reduced extracted features with demographic embeddings into a master CSV table using the MEDprofiles package. Additionally, create MEDprofiles with the master table.
Visualize Data: Use the MEDprofiles figure to visualize the data.
Define Static Time Points: Use the MEDprofiles figure to set static time points and export the data as static CSV tables.
Create Learning and Holdout Sets: Use the Input Module to generate Learning and Holdout sets.
Before proceeding with Step 3 - Prepare ML tables of the MEDomicsLab Testing Phase, we recommend consulting the documentation of the Input Module.
Content
Intro 0:00
Reduce extracted features 0:50
Merge all our data 8:24
Visualize MEDprofiles 10:52
Define static time points 12:01
Create learning and holdout sets 14:13