Skip to main content
EPJ Data Science
Figure 3 | EPJ Data Science

Figure 3

From: Complex decision-making strategies in a stock market experiment explained as the combination of few simple strategies

Figure 3

Comparison matrix of data representations using predictive accuracy. Each row/column corresponds to a specific data representation S. We label them according to the information we are using to define the set of contexts: A = player’s decision at \(t-1\), B = market evolution at \(t-1\), C = outcome of decision at \(t-1\), D = expert consultation, E = indications consulted, F/G = average over the 5 last/all rounds, H/I = market’s evolution/outcome before the previous round. Each matrix element \(Q_{S_{1}S_{2}}\) corresponds to the average log ratio of predictive accuracies (see text) between representations \(S_{1}\), \(S_{2}\) and is colored following the colorbar on the right hand side. Note that if \(Q_{S_{1}S_{2}}>1\) (red), \(S_{1}\) (row) has a larger predictive accuracy than \(S_{2}\) (column). If \(Q_{S_{1}S_{2}}<1\) (blue), \(S_{1}\) (row) has a lower predictive accuracy than \(S_{2}\) (column)

Back to article page