Orange: Naive Bayes
Sumber: https://docs.biolab.si//3/visual-programming/widgets/model/naivebayes.html
Klasifikasi probabilistik yang cepat dan sederhana berdasarkan teorema Bayes dengan asumsi independensi feature.
Input
Data: input dataset Preprocessor: preprocessing method(s)
Output
Learner: naive bayes learning algorithm Model: trained model
Widget Naive Bayes mempelajari model Naive Bayesian dari data. Widget ini hanya berfungsi untuk task classification.
Widget ini memiliki dua opsi: nama yang akan ditampilkan di widget lain dan menghasilkan report. Nama standarnya adalah Naive Bayes. Ketika kita mengubahnya, kita perlu menekan Apply.
Contoh
Here, we present two uses of this widget. First, we compare the results of the Naive Bayes with another model, the Random Forest. We connect iris data from File to Test & Score. We also connect Naive Bayes and Random Forest to Test & Score and observe their prediction scores.
The second schema shows the quality of predictions made with Naive Bayes. We feed the Test & Score widget a Naive Bayes learner and then send the data to the Confusion Matrix. We also connect Scatter Plot with File. Then we select the misclassified instances in the Confusion Matrix and show feed them to Scatter Plot. The bold dots in the scatterplot are the misclassified instances from Naive Bayes.
