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. 2021 Oct 28;10:e64812. doi: 10.7554/eLife.64812

Figure 8. Comparison of the binary decoding approaches.

Figure 8.

Confusion matrices of the classification accuracies for higher and lower self-reported emotional arousal using long short-term memory (LSTM) (lower row) and common spatial patterns (CSP) (upper row) in the condition without (left column) and with (right column) head movement. The data underlying this figure can be downloaded as Figure 8—source data 1.

Figure 8—source data 1. Prediction tables of the binary decoding models.
The zip file contains a folder for each of the movement conditions (with and without head movements) with subfolders for the binary decoding approaches (common spatial patterns [CSP], long short-term memory [LSTM]). Each folder includes three types of tables with the same format (Subjects × Samples). Subjects (N varies by condition) who went into the final classification (after removals during preprocessing). Samples (N = 270) refer to the sequential seconds of the experience (total length: 270 s). Each cell contains: targetTable: the target/ground truth assigned to this sample (by binning the continuous rating). CSP: 1=Low Arousal, 2=High Arousal, NaN = Medium Arousal; LSTM: –1=Low Arousal, 1=High Arousal, 0=Medium Arousalprediction. TableProbabilities: the probability/certainty of this sample to be classified as ‘High Arousing’ (positive probabilities) or ‘Low Arousing’ (negative probabilities). predictionTable: the binarized version of the probabilities. CSP: 1=High Arousal, 0=Low Arousal, NaN = Medium Arousal, LSTM: 1=High Arousal, –1=Low Arousal, 0=Medium Arousal.