HW-12,13 - Problem L12-1: Build a logistic regression...

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Problem L12-1: Build a logistic regression model: Using L12_logistic_regression.arff build a Weka Knowledge Flow diagram use “TrainTestSplitMaker” w/ default parameters connect “Logistic” model node to “Prediction Appender” connect “Prediction Appender” to “CSVDataSink” configure “Prediction Appender” node to output probabilities look for .csv file in directory where you invoked Weka 2. Construct an ROC analysis chart using the .csv file from Solution: WEKA Knowledge Flow diagram % True Positive 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 % True Positive ROC Analysis Chart
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Problem L13-1: Consider the 3 x 3 gridtop SOM map whose weight vectors are shown below. [The underlined numbers represent the neuron number. The values under each of these numbers are the values of the weights at the corresponding node.] 7 8 9 -0.1 0.9 -1.1 3.1 0.2 -2.1 -0.5 -1.0 0.1 4 5 6 4.4 4.8 6.0 6.0 6.1 5.8 1.0 6.0 6.0 1 2 3 5.8 5.9 6.1 6.1 6.2
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This note was uploaded on 08/25/2011 for the course CPE 404 taught by Professor Merz during the Fall '09 term at Missouri S&T.

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HW-12,13 - Problem L12-1: Build a logistic regression...

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