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PredictionOf SONAR Rocks Against Mines

Data ReadingRead the Sonar data setfile. There is one row foreach frequency, plusdemographic info and theattenuation group. Thefile is located inTheSonarData/ Data PartitioningCreate two separatepartitions fromoriginal data set:training set (80%) andtest set (20%). Data Respresentation -- Respresentation of data beforeprocessing Data Preprocessing---- Filter columns and rows Implementation of Decision Tree:-This is a metanode which contain all the requirednodes which support the Decision tree alogorithm. Model Training and EvaluationAlgorithms is trained and evaluated with cross-validation:- Decision TreeDouble-click on the metanode to see the subworkflow Graphical view ---Representation & Visualisationof Accuracy with a help of graph. Model SelectionRows are then sorted bydescending accuracyand only first row (bestperforming model) iskept. Save the Model - Convert the model cell back to PMML - Save the model. KNIME Analytics Platform writes out themodel in the official PMML format, so thatother applications can use the model. Normalisation--Min-max normalizationLineartransformation of all values such thatthe minimum and maximumin eachcolumn are as given(0.0 to 1.0) Implementation of KNN:-KNN alogorithm. Model Trainingand EvaluationAlgorithms is trained andevaluated with cross-validation:-KNN Data Respresentation -- Respresentation ofData Acuracy Predication---Scorer shows the accuracy result Predicted by the KNN algorithm Graphical view ---Representation &Visualisation of Accuracy with ahelp of graph. Reading the sonar.csvFiltering columnsFiltering the rowsGraphical viewKNNData PartitioningAccuracy VisulisationDistance SelectionNormalizing the columnsSort by AccuracyGraphical viewGraphical ViewPMML file saverVisualisationGraphical View Of AccuracyMetaNode for FilterationsCSV Reader Column Filter Row Filter Bar Chart K Nearest Neighbor(Distance Function) Partitioning Scorer Numeric Distances Normalizer Train and Cross Validatea Decision Tree Sorter Cell To PMML Bar Chart Bar Chart PMML Writer Bar Chart Bar Chart Filters Data ReadingRead the Sonar data setfile. There is one row foreach frequency, plusdemographic info and theattenuation group. Thefile is located inTheSonarData/ Data PartitioningCreate two separatepartitions fromoriginal data set:training set (80%) andtest set (20%). Data Respresentation -- Respresentation of data beforeprocessing Data Preprocessing---- Filter columns and rows Implementation of Decision Tree:-This is a metanode which contain all the requirednodes which support the Decision tree alogorithm. Model Training and EvaluationAlgorithms is trained and evaluated with cross-validation:- Decision TreeDouble-click on the metanode to see the subworkflow Graphical view ---Representation & Visualisationof Accuracy with a help of graph. Model SelectionRows are then sorted bydescending accuracyand only first row (bestperforming model) iskept. Save the Model - Convert the model cell back to PMML - Save the model. KNIME Analytics Platform writes out themodel in the official PMML format, so thatother applications can use the model. Normalisation--Min-max normalizationLineartransformation of all values such thatthe minimum and maximumin eachcolumn are as given(0.0 to 1.0) Implementation of KNN:-KNN alogorithm. Model Trainingand EvaluationAlgorithms is trained andevaluated with cross-validation:-KNN Data Respresentation -- Respresentation ofData Acuracy Predication---Scorer shows the accuracy result Predicted by the KNN algorithm Graphical view ---Representation &Visualisation of Accuracy with ahelp of graph. Reading the sonar.csvFiltering columnsFiltering the rowsGraphical viewKNNData PartitioningAccuracy VisulisationDistance SelectionNormalizing the columnsSort by AccuracyGraphical viewGraphical ViewPMML file saverVisualisationGraphical View Of AccuracyMetaNode for FilterationsCSV Reader Column Filter Row Filter Bar Chart K Nearest Neighbor(Distance Function) Partitioning Scorer Numeric Distances Normalizer Train and Cross Validatea Decision Tree Sorter Cell To PMML Bar Chart Bar Chart PMML Writer Bar Chart Bar Chart Filters

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Created by: SikarwarNirbhay
Created at: 2023-02-16
On NodePit since: 2023-07-13
Last update: 2024-11-21
Created with KNIME version: v4.7.1

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