The accuracies of both modalities were calculated by binary classification testing.
For the ecological classifications tested here, there are at least two possible reasons why frogs and reptiles would be missed more often than other taxa.
The age, education level, and gender of the subjects can significantly affect performance in classification tests.
In other words, it classifies how well a binary classification test correctly identifies a condition.
The soil classification tests showed that the topsoil and peat layer are highly saturated with water.
Learning outcomes were measured by a pictorial locomotion pattern classification test.
Accuracy or correct rate of classification is the efficiency of appropriate classification to the total number of classification tests [19].
For the text classification test, the HFA method outperforms all methods tested by an average of 1.5 standard deviation.
This involves i) the densimetric tests (specific gravity), ii) classification tests (grain size distribution, plasticity) and iii) geotechnical tests (compaction test, California Bearing Ratio and direct shear test).
For the image classification test, the HFA method outperforms all the methods tested by an average of one standard deviation with respect to classification accuracy.
