Online Sample Classifier

Choose one of the following options to analyze a sample:

  1. Select a pre-stored sample from the collection below, or
  2. Add your own features manually or upload a CSV file in the section below

Option 1: Preload Sample Features

Select one of the 18 pre-stored samples to load its features automatically and run prediction.

Option 2: Add Your Own Features

Drag & drop your CSV file here

Format: m/z,RT1,RT2

Matching Tolerance Settings

These controls define the maximum allowed difference between your input features and the model's features. When a match is found within these tolerances, its coefficient contributes to the prediction. Larger tolerances find more matches but may reduce precision.

After adding features

Results

Prediction

Logit = 0

Probability = 0

Binary Class = 0

Matched Features

Feature Triplet Coefficient m/z RT1 Center RT2 Center Distance Samples Class

Feature Contribution Analysis

Below shows the relative importance of each feature to the final classification result:

Towards Meteorite Sample
Towards Earth Sample
Rank Feature Triplet Contribution % Impact Direction