Description: Currently you are watching Decision tree definition statistics of sexual immorality porn video. You can find more videos like Decision tree definition statistics of sexual immorality below in the related videos section. An Informal Tutorial Welcome to See5, a system that extracts informative patterns from data. The following sections show how to prepare data files for See5 and illustrate the options for using the system. In this tutorial, file names and See5 input appear in blue fixed-width font while file extensions and other general forms are shown highlighted in green. Buttons and options on the Windows GUI are in maroon. Specifying the classes Explicitly-defined attributes Attributes defined by formulas Dates, times, and timestamps Selecting the attributes that can appear in classifiers Data file Test and cases files optional Costs file optional User Interface Constructing Classifiers Decision trees Evaluation Discrete value subsets Rulesets Rule utility ordering Boosting Winnowing attributes Soft thresholds Advanced pruning options Sampling from large datasets Cross-validation trials Differential misclassification costs Weighting individual cases Using Classifiers Cross-Referencing Classifiers and Data Generating Classifiers in Batch Mode Linking to Other Programs Preparing Data for See5 We will illustrate See5 using a medical application -- mining a database of thyroid assays from the Garvan Institute of Medical Research, Sydney, to construct diagnostic rules for hypothyroidism. Each case concerns a single referral and contains information on the source of the referral, assays requested, patient data, and referring physician's comments. Decision tree learning uses a decision tree (as a predictive model) to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modelling approaches used in statistics, data mining and machine learning. . regression tree) algorithm for classification trees, Gini.
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