Relative importance of the main effects and interactions among all AUs for positive and negative human-coder ratings. Relative importance (normalized partial dependence from the RF model) is a measure the SD in the outcome variable (i.e. positive or negative affect intensity) attributable to each AU while integrating over all other AUs, and it can be interpreted as how important a given AU is with respect to all other AUs. Note that partial dependence is not directional (see Fig 6 for directional effects). Visual depictions of the 5 most important AUs for predicting positive and negative ratings are shown on the graphs. Because there are 190 possible combinations of AUs for displaying interactive effects, we only show the top 20 here for br...
<p>Solid arrows indicate significant effects; dashed arrows represent non-significant relationships....
It is well established that two predictor cues ( A and B ) of a common outcome interact in that the ...
Significant correlations are pictured in green, negative correlation in yellow and non-significant v...
Partial dependence plots of the 5 most important main and interactive effects for both positive and ...
Relative importance of each AU for positive valence and negative valence human-coder ratings within ...
Composite indicators aggregate a set of variables using weights which are understood to reflect the...
<p>The correlation between the number of positive, negative, and neutral statements as a function of...
<p>(a) Predicted variability for a model in which variability is determined by the absolute value wi...
The explanatory variables selected that represent a significant relationship between the groups (mar...
Pearson’s correlations between benefit and harm for the low and high NFC groups; the significance of...
This contribution deals with effect measures for covariates in ordinal data models to address the in...
Pearson Correlations among Emotion Ratings, Interaction Experience Ratings, and Symptom Ratings.</p
Partial dependence plots for the eight most important (in terms of scaled mean decrease in accuracy)...
<p>Relative importance (RI) of explanatory variables used to explain social perception on the Andean...
<p>(+) and (−) signs indicate a positive and negative relationship with the response variable in the...
<p>Solid arrows indicate significant effects; dashed arrows represent non-significant relationships....
It is well established that two predictor cues ( A and B ) of a common outcome interact in that the ...
Significant correlations are pictured in green, negative correlation in yellow and non-significant v...
Partial dependence plots of the 5 most important main and interactive effects for both positive and ...
Relative importance of each AU for positive valence and negative valence human-coder ratings within ...
Composite indicators aggregate a set of variables using weights which are understood to reflect the...
<p>The correlation between the number of positive, negative, and neutral statements as a function of...
<p>(a) Predicted variability for a model in which variability is determined by the absolute value wi...
The explanatory variables selected that represent a significant relationship between the groups (mar...
Pearson’s correlations between benefit and harm for the low and high NFC groups; the significance of...
This contribution deals with effect measures for covariates in ordinal data models to address the in...
Pearson Correlations among Emotion Ratings, Interaction Experience Ratings, and Symptom Ratings.</p
Partial dependence plots for the eight most important (in terms of scaled mean decrease in accuracy)...
<p>Relative importance (RI) of explanatory variables used to explain social perception on the Andean...
<p>(+) and (−) signs indicate a positive and negative relationship with the response variable in the...
<p>Solid arrows indicate significant effects; dashed arrows represent non-significant relationships....
It is well established that two predictor cues ( A and B ) of a common outcome interact in that the ...
Significant correlations are pictured in green, negative correlation in yellow and non-significant v...