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@@ -40,80 +40,21 @@ Finetune the model on other diagnostic scans, though the model only accepts gray
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  ### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
 
 
 
 
 
 
 
 
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- [More Information Needed]
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  ### Results
 
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- **APA:**
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- ## More Information [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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  ### Metrics
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+ | Class | Precision | Recall | F1-Score | Support |
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+ |-------------|-----------|--------|----------|---------|
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+ | Glioma | 0.96 | 0.87 | 0.91 | 300 |
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+ | Meningioma | 0.84 | 0.71 | 0.77 | 306 |
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+ | No Tumor | 0.88 | 1.00 | 0.93 | 405 |
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+ | Pituitary | 0.93 | 0.99 | 0.96 | 300 |
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+ | **Accuracy**| | | **0.90** | 1311 |
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+ | **Macro Avg** | 0.90 | 0.89 | 0.89 | 1311 |
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+ | **Weighted Avg** | 0.90 | 0.90 | 0.90 | 1311 |
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  ### Results
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+ This model was developed for my project that can be found on github ![here](https://github.com/Kaynaaf/BrainMRI-Classifier/blob)
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+ [pituitary Tumour sensitivity map](https://github.com/Kaynaaf/BrainMRI-Classifier/blob/main/results/pituitary_1.png)
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+ [Glioma sensitivity map](https://github.com/Kaynaaf/BrainMRI-Classifier/blob/main/results/glioma_1.png)
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