In data mining what is a class label..? please give an example
Apr 1, 2016 · In data mining what is a class label..? please give an example Asked 9 years, 8 months ago Modified 5 years, 11 months ago Viewed 39k times
Difference between classification and clustering in data mining?
Can someone explain what the difference is between classification and clustering in data mining? If you can, please give examples of both to understand the main idea.
"ValueError: Numeric class variable expected" error in Orange Data …
Oct 26, 2022 · 0 I'm doing an assignment and it requires us to learn and do orange data mining. I'm quite unfamiliar with the application and having a hard time finding anything regarding it. …
data mining - Why only hyperplanes in support-vector machines?
Jun 17, 2014 · I only recently learnt about support vector machines. From what I understood, hyperplanes are used to separate the data (raised to the higher dimension) into two mutually …
java - Data Mining Strings - Stack Overflow
Nov 10, 2016 · I have a Java class Text.java which just contains a severly long string (it's text from a website but stored in u006e values and such) I am creating a data mining class and …
Stacking models with Orange Data Mining - Stack Overflow
Aug 11, 2021 · I am using Orange Data Mining for some classification tasks. I don't understand why I can't use a stacked model to make predictions using a test dataset. I have read most of …
data mining - number expected.read Token [2015-02-02 14:19:00] …
Feb 2, 2015 · If you define date-like data as a DATE attribute in the ARFF file (using the right format for parsing the strings), then WEKA will treat it as a numeric attribute internally (Java …
data mining - Handle missing values in python by attribute mean …
Feb 20, 2019 · I have a large database of housing data and I need to fill in the missing values by mean of the same class. For example, in the column "Bedrooms" the missing data needs to be …
math - What is "entropy and information gain"? - Stack Overflow
Dec 7, 2009 · First step is deciding what features of the data are relevant to the target class we want to predict. Some example features include: first/last letter, length, number of vowels, …
data mining - WEKA software analysis for calculating total …
Apr 16, 2014 · Hi i am using WEKA to analyze some data. But i am having problem how to calculate the total accuracy from the output data. The partial output is bellow Detailed …