Question
Data (A6DATA.csv): https://www.dropbox.com/s/gxa0yf2j7mnp1x4/A6DATA.csv?dl=0 Please note the following: V1: variance of Wavelet Transformed image (continuous) V2: skewness of Wavelet Transformed image (continuous) V3: kurtosis of Wavelet
Data (A6DATA.csv): https://www.dropbox.com/s/gxa0yf2j7mnp1x4/A6DATA.csv?dl=0
Please note the following:
V1: variance of Wavelet Transformed image (continuous)
V2: skewness of Wavelet Transformed image (continuous)
V3: kurtosis of Wavelet Transformed image (continuous)
V4: entropy of image (continuous)
V5: class (0-forged, 1-genuine)
PART 1:
Read A6DATA.csv file into RStudio.
Assemble logistic regression models with 60%/40%, 70%/30%, and 80%/20% partitioning into training and testing data sets using set.seed(222). Please summarize the training and testing accuracy, sensitivity and specificity for each and compare with 50%/50% performance using the table below. Please recommend and comment on the best model.
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