Skip to main content

Posts

Showing posts with the label significantly better

Featured Post

Data Mining with Weka -Installation

Weka - Data mining Tool W eka is a tool for big data and data mining. It is used to various classification, experiments, and analysis over large data sets. Installation Guide -weka  You can download Weka from   here   and follow the normal installation procedure. After completion you will get following window, here you can begin your classification or experiment on different data sets with Weka.

Data Mining With Weka -Experiment (ALL at once- “Adult, Irish, Zoo” & “J48, Naïve Bayes, KNN)

Weka - Data Mining Tool   Experiment  (ALL at once- “Adult, Irish, Zoo” & “J48, Naïve Bayes, KNN) In this experiment I am using all algorithms and datasets at once in order to show the comparison and do the evaluation among the datasets and its correctness including standard deviation.   Here I am comparing and evaluating the previous results. v – significantly better, *-significantly worse Evaluating J48, Naïve Bayes, KNN on Zoo dataset:  We got average of 92.66(SD: 7.07), 93.69(6.99) and 96.06(5.41) percent correct using J48, Naïve Bayes, KNN on zoo dataset. It’s a  10 fold cross validation so, if we want to see individual result we can save result on CVS file from setup panel. Evaluating J48, Naïve Bayes, KNN on Iris dataset:  We got average of 95.33, 92.60, 86.47  percent correct using J48, Naïve Bayes, KNN on iris dataset. It’s a  10 fold cross validation so, if we want to see individual result we can save result on CVS file from setup panel. Eva