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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.

Data Whisperer Challenge
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Mission Objectives

0/3

Complete the AI workflow: upload data, select linear regression model, and test predictions for energy optimization.

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 linear regression analysis.
Smart Agriculture Mission