WebMay 5, 2014 · More Data Mining with Weka: online course from the University of WaikatoClass 2 - Lesson 1: Discretizing numeric … WebDiscretizing is transforming numeric attributes to nominal. You might want to do that in order to use a classification method that can’t handle numeric attributes (unlikely), or to produce better results (likely), or to produce a more comprehensible model such as a simpler decision tree (very likely). This video explains two simple methods ...
Machine Learning: Target Feature Label Imbalance Problems and …
WebIntroduction Here is the source code for weka.filters.unsupervised.attribute.Discretize.java Source /* * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. WebA histogram is a chart that plots the distribution of a numeric variable’s values as a series of bars. Each bar typically covers a range of numeric values called a bin or class; a bar’s … florist new castle ky
weka-实现数值数据的离散化 - CSDN博客
Webm_BinRangePrecision int m_BinRangePrecision; m_SpreadAttributeWeight boolean m_SpreadAttributeWeight; Class weka.filters.unsupervised.attribute.FirstOrder extends weka.filters.Filter implements Serializable serialVersionUID:-7500464545400454179L. Serialized Fields. m_DeltaCols weka.core.Range m_DeltaCols WebBest Java code snippets using weka.filters.supervised.attribute.Discretize (Showing top 20 results out of 315) weka.filters.supervised.attribute Discretize. WebClass weka.classifiers.functions.SGD extends weka.classifiers.RandomizableClassifier implements Serializable serialVersionUID:-3732968666673530290L florist new cumberland pa