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POmake a classification using j48 on weka
 

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  1. POmake a classification using j48 on weka
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    <p>I Have these data as training set and attribute PlayTennise as target.</p> <pre><code>@relation Weka @attribute Day {D1,D2,D3,D4,D5,D6,D7,D8,D9,D10,D11,D12,D13,D14} @attribute Outlook {Sunny,Overcast,Rain} @attribute Temperature {Hot,Mild,Cool} @attribute Humidity {High,Normal} @attribute Wind {Weak,Strong} @attribute PlayTennis {No,Yes} @data D1,Sunny,Hot,High,Weak,No D2,Sunny,Hot,High,Strong,No D3,Overcast,Hot,High,Weak,Yes D4,Rain,Mild,High,Weak,Yes D5,Rain,Cool,Normal,Weak,Yes D6,Rain,Cool,Normal,Strong,No D7,Overcast,Cool,Normal,Strong,Yes D8,Sunny,Mild,High,Weak,No D9,Sunny,Cool,Normal,Weak,Yes D10,Rain,Mild,Normal,Weak,Yes D11,Sunny,Mild,Normal,Strong,Yes D12,Overcast,Mild,High,Strong,Yes D13,Overcast,Hot,Normal,Weak,Yes D14,Rain,Mild,High,Strong,No </code></pre> <p>Also i give weka the data for the supplied test set, but just convert the target [Yes, No] to '?'. such that: </p> <pre><code>@relation Weka2 @attribute Day {D1,D2,D3,D4,D5,D6,D7,D8,D9,D10,D11,D12,D13,D14} @attribute Outlook {Sunny,Overcast,Rain} @attribute Temperature {Hot,Mild,Cool} @attribute Humidity {High,Normal} @attribute Wind {Weak,Strong} @attribute PlayTennis {No,Yes} @data D1,Sunny,Hot,High,Weak,? D2,Sunny,Hot,High,Strong,? D3,Overcast,Hot,High,Weak,? D4,Rain,Mild,High,Weak,? D5,Rain,Cool,Normal,Weak,? D6,Rain,Cool,Normal,Strong,? D7,Overcast,Cool,Normal,Strong,? D8,Sunny,Mild,High,Weak,? D9,Sunny,Cool,Normal,Weak,? D10,Rain,Mild,Normal,Weak,? D11,Sunny,Mild,Normal,Strong,? D12,Overcast,Mild,High,Strong,? D13,Overcast,Hot,Normal,Weak,? D14,Rain,Mild,High,Strong,? </code></pre> <p>Click start but the result said this:</p> <pre><code>=== Run information === Scheme: weka.classifiers.trees.J48 -C 0.25 -M 2 Relation: Weka Instances: 14 Attributes: 6 Day Outlook Temperature Humidity Wind PlayTennis Test mode: user supplied test set: size unknown (reading incrementally) === Classifier model (full training set) === J48 pruned tree ------------------ Outlook = Sunny | Humidity = High: No (3.0) | Humidity = Normal: Yes (2.0) Outlook = Overcast: Yes (4.0) Outlook = Rain | Wind = Weak: Yes (3.0) | Wind = Strong: No (2.0) Number of Leaves : 5 Size of the tree : 8 Time taken to build model: 0 seconds === Evaluation on test set === Time taken to test model on supplied test set: 0 seconds === Summary === Total Number of Instances 0 Ignored Class Unknown Instances 7 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0.000 0.000 0.000 0.000 0.000 0.000 ? ? No 0.000 0.000 0.000 0.000 0.000 0.000 ? ? Yes Weighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN === Confusion Matrix === a b &lt;-- classified as 0 0 | a = No 0 0 | b = Yes </code></pre> <p>It Said that there is "Ignored Class Unknown Instances = 14" and "Total Number of Instances = 0"</p> <p>I don't understand what must i Do?</p> <p>Please Help me?</p>
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