Playground series 2023
list up past Tabular Playground Series competitions and these overview(Episode 12 onwards).
update the list from time to time.
Competitions List
List by tasks
[E.xx] link to that competition page
| Regression | Binary Classification | Multi-Label Classification |
|---|---|---|
| E.14 | E.12 | E.13 |
| E.15 | E.17 | E.18 |
| E.16 | E.23 | E.22 |
| E.19 * | E.24 | E.26 * |
| E.20 * | - | - |
| E.21 ** | - | - |
| E.25 | - | - |
*Time Series Analysis
**Data Cleaning
[Season 3, Episode 26]
Multi-Class Prediction of CirrhosisOutcomes
Task: Multi-Class Classification (to predict probabilities of the three outcomes Status_C, Status_CL, and Status_D)
Evaluation: Multi-Class logarithmic loss
[Season 3, Episode 25]
Regression with a Mohs Hardness Dataset
Task: Regression (to predict the value for the target Hardness)
Evaluation: MedAE (Median Absolute Error)
[Season 3, Episode 24]
Binary Prediction of Smoker Status using Bio-Signals
Task: Binary Classification (to predict the probability for the target variable smoking)
Evaluation: AUC
[Season 3, Episode 23]
Binary Classification with a Software Defects Dataset
Task: Binary Classification (to predict software defects True/False)
Evaluation: AUC
[Season 3, Episode 22]
Predict Health Outcomes of Horses
Task: Multi-Class Classification (to predict lived/died/other)
Evaluation: micro-averaged F1-Score
[Season 3, Episode 21]
Improve a Fixed Model the Data-Centric Way!
Task: Data Cleaning (to improve and submit a dataset that will be used to train a random forest regressor model)
Evaluation: RMSE
[Season 3, Episode 20]
Predict CO2 Emissions in Rwanda
Task: Regression (to predict CO2 emissions as target) with Time Series Data
Evaluation: RMSE
[Season 3, Episode 19]
Task: Regression (to predict the corresponding item sales for each date-country-store-item combination) with Time Series Data
Evaluation: SMAPE
[Season 3, Episode 18]
Explore Multi-Label Classification with an Enzyme Substrate Dataset
Task: Multi-Class Classification (to predict the probability of EC1 and EC2)
Evaluation: AUC
[Season 3, Episode 17]
Binary Classification of Machine Failures
Task: Binary Classification (to predict the probability of a Machine failure)
Evaluation: AUC
[Season 3, Episode 16]
Regression with a Crab Age Dataset
Task: Regression (to predict yeild as target)
Evaluation: MAE
[Season 3, Episode 15]
Feature Imputation with a Heat Flux Dataset
Task: Regression (to impute the missing values)
Evaluation: RMSE
[Season 3, Episode 14]
Prediction of Wild Blueberry Yield
Task: Regression (to predict yeild as target)
Evaluation: MAE
[Season 3, Episode 13]
Classification with a Tabular Vector Borne Disease Dataset
Task: Multi-Class Classification (to predict prognosis, all separated by spaces)
Evaluation: MAP@3
[Season 3, Episode 12]
Binary Classification with a Tabular Kidney Stone Prediction Dataset
Task: Binary Classification (to predict the probability of likelihood of the presence of a kidney stone)
Evaluation: AUC
Best regards, e271828
