btarecycle.blogg.se - Download and install weka latest version

Record the 10-fold cross-validation accuracy of your model as A2.

Build a neural network (using the MLP algorithm) that predicts whether a patient has a heart condition, using the new attribute coarseBloodPressure instead of the original blood pressure.

(You may need to be a little creative here in the use of (unsupervised) filters, possibly having to first create a copy of blood pressure with the new name and then transforming it as per the foregoing Filters AddExpression and MathExpression may prove particularly useful).

Create a new attribute coarseBloodPressure, with values: Low if blood pressure is less than or equal to 120, Normal if blood pressure is greater than 120 but less than or equal to 150, and High if blood pressure is greater than 150.Record the 10-fold cross-validation accuracy of your model as A1. Build a neural network (using the MLP algorithm) that predicts whether a patient has a heart condition.In the Explorer application, open the Cardiolog圜ategorical.csv data file and do the following:.Download and install the latest version of Weka on your computer. This assignment is worth 10% of your overall Homework and Programming Assignments grade.