1. Details

FILE: example_file.csv

SPECIES: example species

2. Data

2.1 - Ground truth data

Latitude Longitude
44.34540 40.18947
44.58259 40.11512

2.2 - Model data

Latitude Longitude
44.34540 40.18947
44.58259 40.11512

2.3 - Scatterplots

3. Analysis

3.1 - Non-intersecting species

For the above file the following NON-INTERSECTING SPECIES were found: Ground truth | Model (0, 0).

3.2 - Euclidean distance

Mean minimum euclidean distance is 0.

3.3 - Contingency table

Model Human
Model 1 1
Human 1 1

– in –>

0 points unique to the model.

0 points unique to ground truth.

3.5 - Confusion matrix

Consider the model output our predicted values and the ground truth data as the observed values. You can then conceptualize the output as being made of TRUE POSITIVES, data points both in the model output and the ground truth; FALSE NEGATIVES, data points in the ground truth but not in the model output and FALSE POSITIVES, data points in the model output but not in the ground truth, usually called “hallucinations”.

Observed
TRUE FALSE
Predicted TRUE 1 1
Predicted FALSE 1 1

3.7 - Performance metrics

Values of four commonly used metrics to report performance: accuracy, sensitivity, specificity, precision and F1. We highly recommend interested users to first consult the documentation of arete::performance_report() and its within referenced sources between using these metrics for model reporting.

Metric Value
Accuracy 0
Sensitivity 0
Precision 0
F1 0