Mission Mode 6
Rain Or Not: LOGISTIC REGRESSION
STORY
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Tala, a Grade 10 student living in a coastal village, noticed how often her mom, Aling Rosa, struggled to plan their small laundry business. "If it rains tomorrow, we lose a whole day of drying," Rosa sighed. "But the weather app's wrong half the time." Tala, who had just finished a machine learning module using TRIOE's cloud platform at school, had an idea.
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Mission Objectives
Complete the AI workflow: upload data, select logistic regression model, and test the rain prediction.
Upload a file
Choose an AI model
Run and test
Choose Appropriate Model
Test Model (Hardcoded)
Adjust values and test energy predictions
Rain Prediction Results
Run test to see rain probability
Prediction confidence: Not calculated yet
Weather conditions: Click "Test" button to analyze
Data
Weather Dataset
Comprehensive weather data collected by Tala and her mom for rain prediction in their coastal village. View or download the dataset for detailed analysis.
Upload Data
Drag & drop your Excel file here
or
Excel files (.xlsx) only
Max file size: 10MB
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Serial Monitor
Python 3.9.0 (default, Oct 9 2020, 15:07:54)
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
Waiting for test execution...
Click the "Test" button to run the logistic regression analysis.
