UNDERSTAND EVERY DROP

Clarity starts
with better data.

Turn nine water quality measurements into a model assessment. A clearer view of your sample, in one workspace.

09Water quality indicators

Random forestResearch classification model

87%Supplied accuracy figure

Connecting…Prediction service

01 / SAMPLE INPUT

Know your water.

Enter your laboratory measurements. All nine fields are required.

02 / ASSESSMENT

A little data.
A clearer picture.

Add your measurements and assess your sample to see the model’s prediction here.

AWAITING SAMPLE

SAMPLE VALUES

New here? Pick a preset to fill the form and run an assessment instantly. Values are illustrative measurements, not verified laboratory samples.

Sample values Model prediction, not a safety certification
Measurement	Balanced sample	Low-solids sample	Higher-mineral sample
pH pH units	6.7	6.2	6.8
Hardness mg/L	182.4	236	306.6
Dissolved solids ppm	16828.9	1198.9	28508.2
Chloramines ppm	7.1	6.1	6.8
Sulfate mg/L	355.9	374.1	293.1
Conductivity µS/cm	434.7	436.2	306.1
Organic carbon mg/L	16.6	11.1	9
Trihalomethanes µg/L	69.4	99.8	60.9
Turbidity NTU	4	4.1	2.5

ⓘ

A prediction, with perspective.

This research model cannot certify drinking-water safety. Use accredited laboratory testing and qualified guidance for real-world decisions.

About the model

The displayed accuracy of 87% is a user-supplied figure, not a verified evaluation result. The included model achieved 65.9% accuracy on its held-out test set. Input bounds are application limits, not safety standards.

Clarity startswith better data.

Know your water.

A little data.A clearer picture.

Clarity starts
with better data.

A little data.
A clearer picture.