1) Convert the continuous data into discrete classes on iris dataset. Prepare the dataset by performing the preprocessing tedaniques, to have the data which improve model performance. Sepal.Length...


1) Convert the continuous data into discrete classes on iris dataset.<br>Prepare the dataset by performing the preprocessing tedaniques, to have the<br>data which improve model performance.<br>Sepal.Length<br>Sepal.Width<br>Petal.Length<br>Petal.Width<br>Species<br>5.1<br>3.5<br>1.4<br>0.2<br>setosa<br>4.9<br>3.<br>1.4<br>0.2<br>setosa<br>4.7<br>3.2<br>1.3<br>0.2<br>setosa<br>4.6<br>3.1<br>1.5<br>0.2<br>setosa<br>3.6<br>1.4<br>0.2<br>setosa<br>5.4<br>3.9<br>1.7<br>0.4<br>setosa<br>4.6<br>3.4<br>1.4<br>0.3<br>setosa<br>3.4<br>1.5<br>0.2<br>setosa<br>4.4<br>2.9<br>1.4<br>0.2<br>setosa<br>4.9<br>3.1<br>1.5<br>0.1<br>setosa<br>

Extracted text: 1) Convert the continuous data into discrete classes on iris dataset. Prepare the dataset by performing the preprocessing tedaniques, to have the data which improve model performance. Sepal.Length Sepal.Width Petal.Length Petal.Width Species 5.1 3.5 1.4 0.2 setosa 4.9 3. 1.4 0.2 setosa 4.7 3.2 1.3 0.2 setosa 4.6 3.1 1.5 0.2 setosa 3.6 1.4 0.2 setosa 5.4 3.9 1.7 0.4 setosa 4.6 3.4 1.4 0.3 setosa 3.4 1.5 0.2 setosa 4.4 2.9 1.4 0.2 setosa 4.9 3.1 1.5 0.1 setosa

Jun 05, 2022
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