AdvancedHealthcarePYTHON+20 XP

Readmission model: pick the honest metric

Scenario

You are a data scientist. Only 8 out of every 100 patients return to hospital. A model can look accurate by always guessing ‘no’. We need a fairer check.

Question

Keep some rows for testing, teach the model with the other rows, then count how many returning patients it found.

Your task

Split the rows into a learning set and a test set
Teach LogisticRegression using the learning set
Show recall and the four confusion-matrix counts

Model evaluationClassificationStatistics

Read the simple theory: Statistics

Advanced · Data Filtering & Record Counting — question 1 of 30

Finish all 30 to earn a certificate

1. Choose your dataset

Pick an industry and a size. Your code and results change to match.

IndustrySize

📓 DataPro notebookds-health-01.ipynbFileEditViewRunKernel: Python 3

[md]

Readmission model: pick the honest metric

Keep some rows for testing, teach the model with the other rows, then count how many returning patients it found.

In [1]:

Your code cell is below. Press Check my answer to run the cell — the result appears as Out [1].

python editordischarges

Snippets

💡 Explain my whole code, line by line (hover any word in the editor for a tip)

🌈 In short — no coding words

📂 Opens the "discharges" table→✅ Shows you the answer

Altogether: this script runs top to bottom, one line at a time, building up the answer step by step.

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Dataset & schema

discharges

IndustryDataset size

The tiny starter data. Bigger data scrolls.

Fields

age	length_of_stay	prior_admissions	readmitted_30d
71	9	3	1
44	2	0	0
83	14	4	1
29	1	0	0

attempts: 0

▶ Output terminal

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Your next steps

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5 left

Splits the data
Fixes randomness
Fits a model
Reports recall
Shows confusion matrix