Data Exploration
Explore different datasets and understand their characteristics
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Balanced Classes
This dataset has perfectly balanced classes (50 samples each), making it ideal for classification tasks.
Model Recommendations:
Logistic Regression
Works well with linearly separable classes in this dataset.
Decision Trees
Can easily capture the decision boundaries between flower species.
Neural Networks
Likely overkill for this simple dataset with clear boundaries.
Iris Flower Dataset
Classic dataset for classification, containing 3 classes of 50 instances each
Records
150
Features
4
| 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 |
| 7 | 3.2 | 4.7 | 1.4 | versicolor |
| 6.3 | 3.3 | 6 | 2.5 | virginica |
| 5.8 | 2.7 | 5.1 | 1.9 | virginica |