zhengyao jiang
commited on
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·
f37da2f
1
Parent(s):
f79418c
fix incorrect scores
Browse files
README.md
CHANGED
@@ -9,13 +9,13 @@ AIDE is an AI-powered data science assistant that can autonomously understand ta
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| Urban Planning | Forecast city bikeshare system usage | 0.05 | [link](examples/bike-sharing-demand.py) | [link](https://www.kaggle.com/competitions/bike-sharing-demand/overview) |
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| Physics | Predicting Critical Heat Flux | 0.56 | [link](examples/playground-series-s3e15.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e15/overview) |
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| Genomics | Classify bacteria species from genomic data | 0.0
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| Agriculture | Predict blueberry yield | 0.58 | [link](examples/playground-series-s3e14.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e14/overview) |
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| Healthcare | Predict disease prognosis | 0.0
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| Economics | Predict monthly microbusiness density in a given area | 0.35 | [link](examples/godaddy-microbusiness-density-forecasting.py) | [link](https://www.kaggle.com/competitions/godaddy-microbusiness-density-forecasting/overview) |
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| Cryptography | Decrypt shakespearean text | 0.91 | [link](examples/ciphertext-challenge-iii.py) | [link](https://www.kaggle.com/competitions/ciphertext-challenge-iii/overview) |
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| Data Science Education | Predict passenger survival on Titanic | 0.78 | [link](examples/tabular-playground-series-apr-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-apr-2021/overview) |
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| Software Engineering | Predict defects in c programs given various attributes about the code | 0.0
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| Real Estate | Predict the final price of homes | 0.05 | [link](examples/home-data-for-ml-course.py) | [link](https://www.kaggle.com/competitions/home-data-for-ml-course/overview) |
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| Real Estate | Predict house sale price | 0.36 | [link](examples/house-prices-advanced-regression-techniques.py) | [link](https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques/overview) |
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| Entertainment Analytics | Predict movie worldwide box office revenue | 0.62 | [link](examples/tmdb-box-office-prediction.py) | [link](https://www.kaggle.com/competitions/tmdb-box-office-prediction/overview) |
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@@ -24,7 +24,7 @@ AIDE is an AI-powered data science assistant that can autonomously understand ta
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| Environmental Science | Classify forest categories using cartographic variables | 0.55 | [link](examples/forest-cover-type-prediction.py) | [link](https://www.kaggle.com/competitions/forest-cover-type-prediction/overview) |
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| Computer Vision | Predict the probability of machine failure | 0.32 | [link](examples/playground-series-s3e17.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e17/overview) |
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| Computer Vision | Identify handwritten digits | 0.14 | [link](examples/digit-recognizer.py) | [link](https://www.kaggle.com/competitions/digit-recognizer/overview) |
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| Manufacturing | Predict missing values in dataset | 0.7
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| Manufacturing | Predict product failures | 0.48 | [link](examples/tabular-playground-series-aug-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-aug-2022/overview) |
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| Manufacturing | Cluster control data into different control states | 0.96 | [link](examples/tabular-playground-series-jul-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-jul-2022/overview) |
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| Natural Language Processing | Classify toxic online comments | 0.78 | [link](examples/jigsaw-toxic-comment-classification-challenge.py) | [link](https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge/overview) |
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@@ -33,19 +33,19 @@ AIDE is an AI-powered data science assistant that can autonomously understand ta
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| Natural Language Processing | Predict whether a tweet is about a real disaster | 0.48 | [link](examples/nlp-getting-started.py) | [link](https://www.kaggle.com/competitions/nlp-getting-started/overview) |
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| Business Analytics | Predict total sales for each product and store in the next month | 0.87 | [link](examples/competitive-data-science-predict-future-sales.py) | [link](https://www.kaggle.com/competitions/competitive-data-science-predict-future-sales/overview) |
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| Business Analytics | Predict book sales for 2021 | 0.66 | [link](examples/tabular-playground-series-sep-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-sep-2022/overview) |
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| Business Analytics | Predict insurance claim amount | 0.8
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| Business Analytics | Minimize penalty cost in scheduling families to santa's workshop | 1.0
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| Business Analytics | Predict yearly sales for learning modules | 0.26 | [link](examples/playground-series-s3e19.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e19/overview) |
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| Business Analytics | Binary classification of manufacturing machine state | 0.6
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| Business Analytics | Forecast retail store sales | 0.36 | [link](examples/tabular-playground-series-jan-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-jan-2022/overview) |
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| Business Analytics | Predict reservation cancellation | 0.54 | [link](examples/playground-series-s3e7.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e7/overview) |
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| Finance | Predict the probability of an insurance claim | 0.13 | [link](examples/tabular-playground-series-mar-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-mar-2021/overview) |
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| Finance | Predict loan loss | 0.0
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| Finance | Predict a continuous target | 0.42 | [link](examples/tabular-playground-series-jan-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-jan-2021/overview) |
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| Finance | Predict customer churn | 0.24 | [link](examples/playground-series-s4e1.py) | [link](https://www.kaggle.com/competitions/playground-series-s4e1/overview) |
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| Finance | Predict median house value | 0.58 | [link](examples/playground-series-s3e1.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e1/overview) |
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| Finance | Predict closing price movements for nasdaq listed stocks | 0.99 | [link](examples/optiver-trading-at-the-close.py) | [link](https://www.kaggle.com/competitions/optiver-trading-at-the-close/overview) |
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| Finance | Predict taxi fare | 1.0
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| Finance | Predict insurance claim probability | 0.62 | [link](examples/tabular-playground-series-sep-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-sep-2021/overview) |
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| Biotech | Predict cat in dat | 0.66 | [link](examples/cat-in-the-dat-ii.py) | [link](https://www.kaggle.com/competitions/cat-in-the-dat-ii/overview) |
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| Biotech | Predict the biological response of molecules | 0.62 | [link](examples/tabular-playground-series-oct-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-oct-2021/overview) |
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@@ -54,11 +54,11 @@ AIDE is an AI-powered data science assistant that can autonomously understand ta
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| Biotech | Predict binary target without overfitting | 0.98 | [link](examples/dont-overfit-ii.py) | [link](https://www.kaggle.com/competitions/dont-overfit-ii/overview) |
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| Biotech | Predict concrete strength | 0.86 | [link](examples/playground-series-s3e9.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e9/overview) |
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| Biotech | Predict crab age | 0.46 | [link](examples/playground-series-s3e16.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e16/overview) |
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| Biotech | Predict enzyme characteristics | 0.1
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| Biotech | Classify activity state from sensor data | 0.51 | [link](examples/tabular-playground-series-apr-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-apr-2022/overview) |
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| Biotech | Predict horse health outcomes | 0.86 | [link](examples/playground-series-s3e22.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e22/overview) |
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| Biotech | Predict the mohs hardness of a mineral | 0.64 | [link](examples/playground-series-s3e25.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e25/overview) |
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| Biotech | Predict cirrhosis patient outcomes | 0.51 | [link](examples/playground-series-s3e26.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e26/overview) |
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| Biotech | Predict obesity risk | 0.62 | [link](examples/playground-series-s4e2.py) | [link](https://www.kaggle.com/competitions/playground-series-s4e2/overview) |
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| Biotech | Classify presence of feature in data | 0.66 | [link](examples/cat-in-the-dat.py) | [link](https://www.kaggle.com/competitions/cat-in-the-dat/overview) |
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| Biotech | Predict patient's smoking status | 0.4
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|:---------------------------------|:------------------------------------------------------------------------|:------------|:------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------|
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| Urban Planning | Forecast city bikeshare system usage | 0.05 | [link](examples/bike-sharing-demand.py) | [link](https://www.kaggle.com/competitions/bike-sharing-demand/overview) |
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| Physics | Predicting Critical Heat Flux | 0.56 | [link](examples/playground-series-s3e15.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e15/overview) |
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| Genomics | Classify bacteria species from genomic data | 0.0 | [link](examples/tabular-playground-series-feb-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-feb-2022/overview) |
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| Agriculture | Predict blueberry yield | 0.58 | [link](examples/playground-series-s3e14.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e14/overview) |
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| Healthcare | Predict disease prognosis | 0.0 | [link](examples/playground-series-s3e13.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e13/overview) |
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| Economics | Predict monthly microbusiness density in a given area | 0.35 | [link](examples/godaddy-microbusiness-density-forecasting.py) | [link](https://www.kaggle.com/competitions/godaddy-microbusiness-density-forecasting/overview) |
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| Cryptography | Decrypt shakespearean text | 0.91 | [link](examples/ciphertext-challenge-iii.py) | [link](https://www.kaggle.com/competitions/ciphertext-challenge-iii/overview) |
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| Data Science Education | Predict passenger survival on Titanic | 0.78 | [link](examples/tabular-playground-series-apr-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-apr-2021/overview) |
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| Software Engineering | Predict defects in c programs given various attributes about the code | 0.0 | [link](examples/playground-series-s3e23.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e23/overview) |
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| Real Estate | Predict the final price of homes | 0.05 | [link](examples/home-data-for-ml-course.py) | [link](https://www.kaggle.com/competitions/home-data-for-ml-course/overview) |
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| Real Estate | Predict house sale price | 0.36 | [link](examples/house-prices-advanced-regression-techniques.py) | [link](https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques/overview) |
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| Entertainment Analytics | Predict movie worldwide box office revenue | 0.62 | [link](examples/tmdb-box-office-prediction.py) | [link](https://www.kaggle.com/competitions/tmdb-box-office-prediction/overview) |
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| Environmental Science | Classify forest categories using cartographic variables | 0.55 | [link](examples/forest-cover-type-prediction.py) | [link](https://www.kaggle.com/competitions/forest-cover-type-prediction/overview) |
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| Computer Vision | Predict the probability of machine failure | 0.32 | [link](examples/playground-series-s3e17.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e17/overview) |
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| Computer Vision | Identify handwritten digits | 0.14 | [link](examples/digit-recognizer.py) | [link](https://www.kaggle.com/competitions/digit-recognizer/overview) |
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| Manufacturing | Predict missing values in dataset | 0.7 | [link](examples/tabular-playground-series-jun-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-jun-2022/overview) |
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| Manufacturing | Predict product failures | 0.48 | [link](examples/tabular-playground-series-aug-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-aug-2022/overview) |
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| Manufacturing | Cluster control data into different control states | 0.96 | [link](examples/tabular-playground-series-jul-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-jul-2022/overview) |
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| Natural Language Processing | Classify toxic online comments | 0.78 | [link](examples/jigsaw-toxic-comment-classification-challenge.py) | [link](https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge/overview) |
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| Natural Language Processing | Predict whether a tweet is about a real disaster | 0.48 | [link](examples/nlp-getting-started.py) | [link](https://www.kaggle.com/competitions/nlp-getting-started/overview) |
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| Business Analytics | Predict total sales for each product and store in the next month | 0.87 | [link](examples/competitive-data-science-predict-future-sales.py) | [link](https://www.kaggle.com/competitions/competitive-data-science-predict-future-sales/overview) |
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| Business Analytics | Predict book sales for 2021 | 0.66 | [link](examples/tabular-playground-series-sep-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-sep-2022/overview) |
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| Business Analytics | Predict insurance claim amount | 0.8 | [link](examples/tabular-playground-series-feb-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-feb-2021/overview) |
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| Business Analytics | Minimize penalty cost in scheduling families to santa's workshop | 1.0 | [link](examples/santa-2019-revenge-of-the-accountants.py) | [link](https://www.kaggle.com/competitions/santa-2019-revenge-of-the-accountants/overview) |
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| Business Analytics | Predict yearly sales for learning modules | 0.26 | [link](examples/playground-series-s3e19.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e19/overview) |
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| Business Analytics | Binary classification of manufacturing machine state | 0.6 | [link](examples/tabular-playground-series-may-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-may-2022/overview) |
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| Business Analytics | Forecast retail store sales | 0.36 | [link](examples/tabular-playground-series-jan-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-jan-2022/overview) |
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| Business Analytics | Predict reservation cancellation | 0.54 | [link](examples/playground-series-s3e7.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e7/overview) |
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| Finance | Predict the probability of an insurance claim | 0.13 | [link](examples/tabular-playground-series-mar-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-mar-2021/overview) |
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| Finance | Predict loan loss | 0.0 | [link](examples/tabular-playground-series-aug-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-aug-2021/overview) |
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| Finance | Predict a continuous target | 0.42 | [link](examples/tabular-playground-series-jan-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-jan-2021/overview) |
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| Finance | Predict customer churn | 0.24 | [link](examples/playground-series-s4e1.py) | [link](https://www.kaggle.com/competitions/playground-series-s4e1/overview) |
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| Finance | Predict median house value | 0.58 | [link](examples/playground-series-s3e1.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e1/overview) |
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| Finance | Predict closing price movements for nasdaq listed stocks | 0.99 | [link](examples/optiver-trading-at-the-close.py) | [link](https://www.kaggle.com/competitions/optiver-trading-at-the-close/overview) |
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| Finance | Predict taxi fare | 1.0 | [link](examples/new-york-city-taxi-fare-prediction.py) | [link](https://www.kaggle.com/competitions/new-york-city-taxi-fare-prediction/overview) |
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| Finance | Predict insurance claim probability | 0.62 | [link](examples/tabular-playground-series-sep-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-sep-2021/overview) |
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| Biotech | Predict cat in dat | 0.66 | [link](examples/cat-in-the-dat-ii.py) | [link](https://www.kaggle.com/competitions/cat-in-the-dat-ii/overview) |
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| Biotech | Predict the biological response of molecules | 0.62 | [link](examples/tabular-playground-series-oct-2021.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-oct-2021/overview) |
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| Biotech | Predict binary target without overfitting | 0.98 | [link](examples/dont-overfit-ii.py) | [link](https://www.kaggle.com/competitions/dont-overfit-ii/overview) |
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| Biotech | Predict concrete strength | 0.86 | [link](examples/playground-series-s3e9.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e9/overview) |
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| Biotech | Predict crab age | 0.46 | [link](examples/playground-series-s3e16.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e16/overview) |
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| Biotech | Predict enzyme characteristics | 0.1 | [link](examples/playground-series-s3e18.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e18/overview) |
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| Biotech | Classify activity state from sensor data | 0.51 | [link](examples/tabular-playground-series-apr-2022.py) | [link](https://www.kaggle.com/competitions/tabular-playground-series-apr-2022/overview) |
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| Biotech | Predict horse health outcomes | 0.86 | [link](examples/playground-series-s3e22.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e22/overview) |
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| Biotech | Predict the mohs hardness of a mineral | 0.64 | [link](examples/playground-series-s3e25.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e25/overview) |
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| Biotech | Predict cirrhosis patient outcomes | 0.51 | [link](examples/playground-series-s3e26.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e26/overview) |
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| Biotech | Predict obesity risk | 0.62 | [link](examples/playground-series-s4e2.py) | [link](https://www.kaggle.com/competitions/playground-series-s4e2/overview) |
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| Biotech | Classify presence of feature in data | 0.66 | [link](examples/cat-in-the-dat.py) | [link](https://www.kaggle.com/competitions/cat-in-the-dat/overview) |
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| Biotech | Predict patient's smoking status | 0.4 | [link](examples/playground-series-s3e24.py) | [link](https://www.kaggle.com/competitions/playground-series-s3e24/overview) |
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