This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementScorerCompares two columns by their attribute value pairs and shows the confusion matrix, i.e. how many rows of which attribute and their classification match. Additionally, it is possible to hilight cells of this matrix to determine the underlying rows. The dialog allows you to select two columns for comparison; the values from the first selected column are represented in the confusion matrix's rows and the values from the second column by the confusion matrix's columns. The output of the node is the confusion matrix with the number of matches in each cell. Additionally, the second out-port reports a number of accuracy statistics such as True-Positives, False-Positives, True-Negatives, False-Negatives, Recall, Precision, Sensitivity, Specificity, F-measure, as well as the overall accuracy and Cohen's kappa.
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Regression Predictor13 %Number To String6 %K Nearest Neighbor (Distance Function)5 %Random Forest Predictor4 %Random Forest Learner4 %Naive Bayes Learner3 %PMML Predictor3 %String To Number2 %Tree Ensemble Predictor2 %- Text Classifier Predictor2 %
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Logistic Regression Learner< 1 %Random Forest Predictor (Regression)< 1 %Tree Ensemble Learner< 1 %- Normalizer< 1 %
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CSV Writer< 1 %Cell Replacer< 1 %- Hierarchical Cluster Assigner (local)< 1 %
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Number To String (PMML)< 1 %- Shape Manager< 1 %
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Color Appender< 1 %- Column Aggregator< 1 %
PCA Apply< 1 %- DBSCAN< 1 %
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PMML Gradient Boosted Trees Predictor< 1 %- Missing Value (Apply)< 1 %
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PCA< 1 %Table Reader< 1 %- SMOTE< 1 %
Random Forest Learner< 1 %Rank Correlation< 1 %- DL Python Network Executor< 1 %
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Concatenate (Optional in)< 1 %- Domain Calculator< 1 %
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Python Predictor< 1 %- Numeric Row Splitter< 1 %
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H2O MOJO Predictor (Classification)< 1 %- Numeric Scorer< 1 %
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Linear Discriminant Analysis< 1 %- Reference Column Filter< 1 %
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Tree Ensemble Predictor (Regression)< 1 %- Nominal Value Row Filter< 1 %
XLS Reader< 1 %Binary Scorer< 1 %- H2O MOJO Predictor (Classification)< 1 %
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Table Column to Variable< 1 %- Naive Bayes Predictor< 1 %
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Backward Feature Elimination Filter< 1 %Recursive Loop End< 1 %- Fuzzy Rule Predictor< 1 %
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PCA Inversion< 1 %- Entropy Scorer< 1 %
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Scorer< 1 %Numeric Scorer< 1 %- Correlation Filter< 1 %
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Joiner< 1 %- Pivot< 1 %
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String To Number (PMML)< 1 %- Ungroup< 1 %
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CSV Reader< 1 %- Java Edit Variable< 1 %
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Random Forest Learner (Regression)< 1 %Gradient Boosted Trees Predictor< 1 %- Gradient Boosted Trees Predictor (Regression)< 1 %
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Column Rename< 1 %- Color Manager< 1 %
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Extract Date&Time Fields< 1 %- Weak Label Model Predictor< 1 %
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Column Appender< 1 %- Reference Row Splitter< 1 %
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Python Script (1⇒1)< 1 %- RDKit Molecule Substructure Filter< 1 %
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Tree Ensemble Model Extract< 1 %- Tree Ensemble Learner (Regression)< 1 %
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- Rank Correlation< 1 %
- Wilcoxon Signed-Rank< 1 %
CASE Switch Variable (End)< 1 %- Cache< 1 %
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- PMML Ensemble Loop End< 1 %
- H2O Gradient Boosting Machine Learner< 1 %
Read Excel Sheet Names (XLS)< 1 %- DF< 1 %
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- Table Creator< 1 %
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Loop End< 1 %Variable Condition Loop End< 1 %Recursive Loop Start< 1 %- X-Partitioner< 1 %
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k-Means< 1 %Gradient Boosted Trees Predictor< 1 %- Tree Ensemble Learner< 1 %
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PBAC Scorer< 1 %Variance Uncertainty Scorer< 1 %Element Selector< 1 %- Strings to Binary Objects< 1 %
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Variable to Table Row< 1 %- Image to Table< 1 %
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Line Reader< 1 %- Feature Selection Loop Start (2:2)< 1 %
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Variable Loop End< 1 %- Silhouette Coefficient< 1 %
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- Merge Variables< 1 %
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H2O Binomial Scorer< 1 %- H2O Binomial Scorer< 1 %
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Views
- Confusion Matrix
- Displays the confusion matrix in a table view. It is possible to hilight cells of the matrix which propagates highlighting to the corresponding rows. Therefore, it is possible for example to identify wrong predictions.
Workflows
Credit Scoring Model(diksha kumari)KNIME Hub- 00_Guided_Labeling_for_Document_Classification_(legacy)KNIME Hub
- 00_Keras_Transfer_LearningKNIME Hub
- 00_Keras_Transfer_LearningKNIME Hub
- 01_AnalyticsKNIME Hub
- Show all 474 workflows
Links
- Any advice to improve the performance of a classification model ?by mlauber71 on 2018-12-06forum.knime.com/p/51062
- H2O Binomial Scorer - Specifictyby mlauber71 on 2019-04-01forum.knime.com/p/57833
- Confusion Matrix and Confidence Levelby armingrudd on 2019-01-28forum.knime.com/p/53690
- Training Scoreby mlauber71 on 2019-04-06forum.knime.com/p/58174
Developers
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