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Breast Cancer Binary Classification

Training & Evaluation Convolutional Neural Network Pre-Processing NotesDataset link: https://www.kaggle.com/uciml/breast-cancer-wisconsin-data read filesfilter for missingvalues70-30shape: 30Train the model for 100 epochs (Adam) withloss function mean squared errorApply the modelon new dataoutput <=0.5 Malignantoutput >0.5 BenignEvaluate the modelAccuracy (93.5%)70-30diagnosischeck parameters ofmodel CSV Reader Missing Value Partitioning Keras Input Layer Keras NetworkLearner Keras NetworkExecutor Rule Engine Scorer Partitioning Keras Dense Layer Keras Dense Layer Keras Dense Layer Category To Number Keras Dropout Layer Keras Dropout Layer DL PythonNetwork Editor Keras BatchNormalization Layer Keras BatchNormalization Layer Training & Evaluation Convolutional Neural Network Pre-Processing NotesDataset link: https://www.kaggle.com/uciml/breast-cancer-wisconsin-data read filesfilter for missingvalues70-30shape: 30Train the model for 100 epochs (Adam) withloss function mean squared errorApply the modelon new dataoutput <=0.5 Malignantoutput >0.5 BenignEvaluate the modelAccuracy (93.5%)70-30diagnosischeck parameters ofmodel CSV Reader Missing Value Partitioning Keras Input Layer Keras NetworkLearner Keras NetworkExecutor Rule Engine Scorer Partitioning Keras Dense Layer Keras Dense Layer Keras Dense Layer Category To Number Keras Dropout Layer Keras Dropout Layer DL PythonNetwork Editor Keras BatchNormalization Layer Keras BatchNormalization Layer

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Created by: MSF
Created at: 2022-01-14
On NodePit since: 2022-01-15
Last update: 2024-11-18
Created with KNIME version: v4.4.2

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