### Difference Between Decision Table & Decision Tree in Tabular Form

 SNO. Decision Table Decision Tree 01. A Decision table is a table of rows and columns, separated into four quadrants and is designed to illustrate complex decision rulesCondition stub, Rules stub, Action stub ,Entries stub A Decision tree gives a graphical view of the processing logic involved in decision making and the corresponding actions taken 02. Example: Suppose a technical support company writes a decision table to diagnose printer problems based upon symptoms described to them over the phone from their clients. Example : A decision tree can be used to classify an example by starting at the root of the tree and moving through it until a leaf node, which provides the classification of the instance. 03. Advantages:The table shows cause and effect relationships. 2. Tables are of standardized format. 3. Semi – standardized languages can be employed in these tables. 4. Complex tables can easily be split into simpler tables. 5. Table user’s are not required to possess computer knowledge. Advantages :  A decision tree is easy to understand and interpret.· Expert opinion and preferences can be included, as well as hard data.· Can be used with other decision techniques.· New scenarios can easily be added. 04. Disadvantages : a)Decision tables do not scale up well. We need to “factor” large tables into smaller ones to remove redundancyb)Total sequence – The total sequence is not clearly shown, i.e., no overall picture is given by decision tables as presented by flowcharts.c)Logic – Where the logic of a system is simple, flowcharts nearly always serve the purpose better than a decision table. Disadvantages : They are unstable, meaning that a small change in the data can lead to a large change in the structure of the optimal decision tree.· They are often relatively inaccurate. Many other predictors perform better with similar data. This can be remedied by replacing a single decision tree with a random forest of decision trees, but a random forest is not as easy to interpret as a single decision tree.· Calculations can get very complex, particularly if many values are uncertain and/or if many outcomes are linked 05. Decision table is more compact But Decision tree is easier to read
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