35 lines
1.0 KiB
Markdown
35 lines
1.0 KiB
Markdown
# Model Information
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## Overview
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The Iris ML Predictor uses a machine learning model trained on the famous Iris dataset, which contains measurements of iris flowers from three different species:
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1. Iris Setosa
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2. Iris Versicolor
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3. Iris Virginica
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## Model Details
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- **Model Type**: Classification model (likely a decision tree or random forest)
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- **Features Used**:
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- Sepal Length (cm)
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- Sepal Width (cm)
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- Petal Length (cm)
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- Petal Width (cm)
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- **Output**: Predicted Iris species
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- **Model File**: `model.pkl`
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## Dataset
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The Iris dataset is a classic dataset in machine learning and statistics. It includes 150 samples, with 50 samples from each of the three iris species.
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## Performance
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The model has been trained and evaluated on the Iris dataset, with typical accuracy metrics exceeding 95% on test data.
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## Limitations
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- The model is only applicable to iris flowers of the three species in the training data
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- Measurements must be provided in centimeters
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- Extreme outlier values may lead to unreliable predictions
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