Welcome to the OPEN-ARC leaderboard. Each project has it's own leaderboard, sorted by highest accuracy score. Our implementation is labeled 'N', since it is the base code for implementations.
Predicting Liver Cirrhosis Stage of patients, helping medical experts to drastically assess patient health.
| Rank | Contributor | Architecture Type | Platform | Base Model (✗/✔) | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | RandomForestClassifier | Kaggle | ✗ | Liver Cirrhosis Stage Classification 🩺 | 95.6% | Notebook |
Classify the type of weather using 10 different weather data features.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | RandomForestClassifier | Kaggle | ✗ | Weather Type Classification | 91.2% | Notebook |
Classify potato plant diseases based on image/vision data.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | CustomCNN | Kaggle | ✗ | 🌱 Potato Plant Diseases Data 🍂 | 95.1% | Notebook |
Classify the quality of red wine based on sensory data.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | GradientBoostingClassifier | Kaggle | ✗ | Red Wine Quality | 72.8% | Notebook |
Generate Terraria weapon names based on weapon names from the official game.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | SimpleRNN | Kaggle | ✔ | All Terraria Weapons DPS V_1.4.4.9 | 78.6% | Notebook |
Generate convincing news headlines based on short passages of text.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | BLEU-Score | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | DistilBART | Kaggle | ✗ | NEWS SUMMARY | 52.8% | Notebook |
Recommend crops based on a given set of features to optimize crop yields.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | XGBClassifier | Kaggle | ✔ | Crop Recommendation Dataset | 98.6% | Notebook |
Predict a plant's stress level based on certain features.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | XGBClassifier | Kaggle | ✔ | Plant-Health-Data | 99.1% | Notebook |
Predict traffic accidents based on certain features.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | XGBClassifier | Kaggle | ✔ | Traffic Accident Prediction 💥🚗 | 85.2% | Notebook |
Classify a mushroom as edible or poisonous based on certain features.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | RandomForestClassifier | Kaggle | ✔ | Mushroom Classification | 91.1% (CV) | Notebook |
Classify a peron's basic personality type based on certain features.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | XGBClassifier | Kaggle | ✔ | Personality Dataset (introvert or Extrovert) | 92% | Notebook |
Classify mail into spam or ham.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | Accuracy | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | MultinomialNB | Kaggle | ✔ | Spam Mail Classifier Dataset | 98.4% | Notebook |
Predict the housing prices for homes in India, based on certain features.
| Rank | Contributor | Architecture Type | Platform | Base Model | Dataset | MAE (k) | Link |
|---|---|---|---|---|---|---|---|
| N | Our Model | CatBoostRegressor | Kaggle | ✔ | India House Rent Prediction | 3.86 | Notebook |
More projects coming soon