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Soccer MLP

Workflow

Soccer Players Rating Prediction Using Neural Networks Multi Layer PerceptronIn this workflow we read records from a SQLite database, and generate a model using the Multi Layer Perceptron (MLP) algorithm.Some data cleansing is done before we plot the actual and predicted values. Read fromSQLite databsePullPlayerAttributesDeal withMissing values75% Train,25% TestPredictBuild the ModelFeaturesSelectionNormalize to 0-1View ModelPerformancePlot Real vs PredictionDenormalize Real RatingPredicted RatingRename to 'overall_rating'DenormalizePredicted RatingPredicted RatingRemove Unwanted ColumnsReal RatingNew Tablewith Two ColumnsRemove UnwantedColumns SQLite Connector Database Reader Missing Value Partitioning MultiLayerPerceptronPredictor RProp MLP Learner Column Filter Normalizer Numeric Scorer Scatter Plot(JavaScript) Denormalizer Column Filter Column Rename Denormalizer Column Rename Column Filter Column Rename Column Appender Column Filter Soccer Players Rating Prediction Using Neural Networks Multi Layer PerceptronIn this workflow we read records from a SQLite database, and generate a model using the Multi Layer Perceptron (MLP) algorithm.Some data cleansing is done before we plot the actual and predicted values. Read fromSQLite databsePullPlayerAttributesDeal withMissing values75% Train,25% TestPredictBuild the ModelFeaturesSelectionNormalize to 0-1View ModelPerformancePlot Real vs PredictionDenormalize Real RatingPredicted RatingRename to 'overall_rating'DenormalizePredicted RatingPredicted RatingRemove Unwanted ColumnsReal RatingNew Tablewith Two ColumnsRemove UnwantedColumns SQLite Connector Database Reader Missing Value Partitioning MultiLayerPerceptronPredictor RProp MLP Learner Column Filter Normalizer Numeric Scorer Scatter Plot(JavaScript) Denormalizer Column Filter Column Rename Denormalizer Column Rename Column Filter Column Rename Column Appender Column Filter

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Nodes

Soccer MLP consists of the following 19 nodes(s):

Plugins

Soccer MLP contains nodes provided by the following 3 plugin(s):