**768**
results

- Go to itemCalculates for each pair of selected columns a correlation coefficient, i.e. a measure of the correlation of the two variables. W…2
- Go to itemThis node uses the model as generated by a Correlation node to determine which columns are redundant (i.e. correlated) and filter…1
- Go to itemComputes the Cronbach Alpha for all numerical columns based on their variance. Cronbach's Alpha compares the variance of the indi…1
- Go to itemThis node induces a classification decision tree in main memory. The target attribute must be nominal. The other attributes used …1
- Go to itemCalculates distance values for all pairs of rows of the input table. The result is appended to the input table as a single column…1
- Go to itemThis rule learner* learns a Fuzzy Rule Model on labeled numeric data using Mixed Fuzzy Rule Formation as the underlying training …1
- Go to itemThis view takes a hierarchical cluster tree and the same input table, that has been used for the creating the clustering and visu…1
- Go to itemFilters out double-compatible columns, whose variance is below a user defined threshold. Columns with low variance are likely to …1
- Go to itemBased on a trained MultiLayerPerceptron-model given at the model inport of this node, the expected output values are computed. If…1
- Go to itemThis node detects and treats the outliers for each of the selected columns individually by means of interquartile range (IQR) . T…1
- Go to itemCalculates for each pair of selected columns a correlation coefficient, i.e. a measure of the correlation of the two variables. A…1
- Go to itemCompares two columns by their attribute value pairs and shows the confusion matrix, i.e. how many rows of which attribute and the…1
- Go to itemThis node takes each row in the query table (Port 0) and searches the reference table (Port 1) for a number of rows matching the …1
- Go to itemThis node calculates statistical moments such as minimum, maximum, mean, standard deviation, variance, median, overall sum, numbe…1
- Go to itemThis loop starts a parameter optimization loop. In the dialog you can enter several parameters with an interval and a step size. …1
- Go to itemAODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0
- Go to itemAODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0