--- dataset_info: - config_name: abalone features: - name: instance dtype: int64 - name: Length dtype: float64 - name: Diameter dtype: float64 - name: Height dtype: float64 - name: Whole_weight dtype: float64 - name: Shucked_weight dtype: float64 - name: Viscera_weight dtype: float64 - name: Shell_weight dtype: float64 - name: Sex_F dtype: int64 - name: Sex_I dtype: int64 - name: Sex_M dtype: int64 - name: real dtype: int64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 38289240 num_examples: 224145 - name: validation num_bytes: 5445000 num_examples: 31875 - name: test num_bytes: 10890000 num_examples: 63750 download_size: 11789983 dataset_size: 54624240 - config_name: auction_verification features: - name: instance dtype: int64 - name: process_b1_capacity dtype: int64 - name: process_b2_capacity dtype: int64 - name: process_b3_capacity dtype: int64 - name: process_b4_capacity dtype: int64 - name: property_price dtype: int64 - name: property_product dtype: int64 - name: property_winner dtype: int64 - name: real dtype: float64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 16099200 num_examples: 109650 - name: validation num_bytes: 2283840 num_examples: 15555 - name: test num_bytes: 4567680 num_examples: 31110 download_size: 3180269 dataset_size: 22950720 - config_name: bng_echoMonths features: - name: instance dtype: int64 - name: still_alive dtype: float64 - name: age dtype: float64 - name: pericardial dtype: float64 - name: fractional dtype: float64 - name: epss dtype: float64 - name: lvdd dtype: float64 - name: wall_score dtype: float64 - name: wall_index dtype: float64 - name: alive_at_1 dtype: float64 - name: real dtype: float64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 152627520 num_examples: 937380 - name: validation num_bytes: 21756480 num_examples: 133620 - name: test num_bytes: 43554480 num_examples: 267495 download_size: 90967769 dataset_size: 217938480 - config_name: california_housing features: - name: instance dtype: int64 - name: MedInc dtype: float64 - name: HouseAge dtype: float64 - name: AveRooms dtype: float64 - name: AveBedrms dtype: float64 - name: Population dtype: float64 - name: AveOccup dtype: float64 - name: Latitude dtype: float64 - name: Longitude dtype: float64 - name: real dtype: float64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 171145800 num_examples: 1105425 - name: validation num_bytes: 24438120 num_examples: 157845 - name: test num_bytes: 48876240 num_examples: 315690 download_size: 107814021 dataset_size: 244460160 - config_name: infrared features: - name: instance dtype: int64 - name: T_atm dtype: float64 - name: Humidity dtype: float64 - name: Distance dtype: float64 - name: T_offset1 dtype: float64 - name: Max1R13_1 dtype: float64 - name: Max1L13_1 dtype: float64 - name: aveAllR13_1 dtype: float64 - name: aveAllL13_1 dtype: float64 - name: T_RC1 dtype: float64 - name: T_RC_Dry1 dtype: float64 - name: T_RC_Wet1 dtype: float64 - name: T_RC_Max1 dtype: float64 - name: T_LC1 dtype: float64 - name: T_LC_Dry1 dtype: float64 - name: T_LC_Wet1 dtype: float64 - name: T_LC_Max1 dtype: float64 - name: RCC1 dtype: float64 - name: LCC1 dtype: float64 - name: canthiMax1 dtype: float64 - name: canthi4Max1 dtype: float64 - name: T_FHCC1 dtype: float64 - name: T_FHRC1 dtype: float64 - name: T_FHLC1 dtype: float64 - name: T_FHBC1 dtype: float64 - name: T_FHTC1 dtype: float64 - name: T_FH_Max1 dtype: float64 - name: T_FHC_Max1 dtype: float64 - name: T_Max1 dtype: float64 - name: T_OR1 dtype: float64 - name: T_OR_Max1 dtype: float64 - name: Gender_Female dtype: int64 - name: Gender_Male dtype: int64 - name: AgeBracket1 dtype: int64 - name: AgeBracket2 dtype: int64 - name: AgeBracket3 dtype: int64 - name: AgeBracket4 dtype: int64 - name: AgeBracket5 dtype: int64 - name: AgeBracket6 dtype: int64 - name: AgeBracket7 dtype: int64 - name: EthnicityAI_AN dtype: int64 - name: Ethnicity_Asian dtype: int64 - name: EthnicityBl_AA dtype: int64 - name: EthnicityHs_Lat dtype: int64 - name: EthnicityMR dtype: int64 - name: Ethnicity_White dtype: int64 - name: real dtype: float64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 24486480 num_examples: 54315 - name: validation num_bytes: 3448800 num_examples: 7650 - name: test num_bytes: 6897600 num_examples: 15300 download_size: 4365509 dataset_size: 34832880 - config_name: life_expectancy features: - name: instance dtype: int64 - name: Year dtype: int64 - name: Adult_Mortality dtype: float64 - name: infant_deaths dtype: int64 - name: Alcohol dtype: float64 - name: percentage_expenditure dtype: float64 - name: Hepatitis_B dtype: float64 - name: Measles dtype: int64 - name: BMI dtype: float64 - name: under_five_deaths dtype: int64 - name: Polio dtype: float64 - name: Total_expenditure dtype: float64 - name: Diphtheria dtype: float64 - name: HIV_AIDS dtype: float64 - name: GDP dtype: float64 - name: Population dtype: float64 - name: thinness_AgeBracket2 dtype: float64 - name: thinness_AgeBracket1 dtype: float64 - name: Income_composition_of_resources dtype: float64 - name: Schooling dtype: float64 - name: Country_Afghanistan dtype: int64 - name: Country_Albania dtype: int64 - name: Country_Algeria dtype: int64 - name: Country_Angola dtype: int64 - name: Country_Antigua and Barbuda dtype: int64 - name: Country_Argentina dtype: int64 - name: Country_Armenia dtype: int64 - name: Country_Australia dtype: int64 - name: Country_Austria dtype: int64 - name: Country_Azerbaijan dtype: int64 - name: Country_Bahamas dtype: int64 - name: Country_Bahrain dtype: int64 - name: Country_Bangladesh dtype: int64 - name: Country_Barbados dtype: int64 - name: Country_Belarus dtype: int64 - name: Country_Belgium dtype: int64 - name: Country_Belize dtype: int64 - name: Country_Benin dtype: int64 - name: Country_Bhutan dtype: int64 - name: Country_Bolivia (Plurinational State of) dtype: int64 - name: Country_Bosnia and Herzegovina dtype: int64 - name: Country_Botswana dtype: int64 - name: Country_Brazil dtype: int64 - name: Country_Brunei Darussalam dtype: int64 - name: Country_Bulgaria dtype: int64 - name: Country_Burkina Faso dtype: int64 - name: Country_Burundi dtype: int64 - name: Country_Cabo Verde dtype: int64 - name: Country_Cambodia dtype: int64 - name: Country_Cameroon dtype: int64 - name: Country_Canada dtype: int64 - name: Country_Central African Republic dtype: int64 - name: Country_Chad dtype: int64 - name: Country_Chile dtype: int64 - name: Country_China dtype: int64 - name: Country_Colombia dtype: int64 - name: Country_Comoros dtype: int64 - name: Country_Congo dtype: int64 - name: Country_Cook Islands dtype: int64 - name: Country_Costa Rica dtype: int64 - name: Country_Croatia dtype: int64 - name: Country_Cuba dtype: int64 - name: Country_Cyprus dtype: int64 - name: Country_Czechia dtype: int64 - name: Country_Côte d'Ivoire dtype: int64 - name: Country_Democratic People's Republic of Korea dtype: int64 - name: Country_Democratic Republic of the Congo dtype: int64 - name: Country_Denmark dtype: int64 - name: Country_Djibouti dtype: int64 - name: Country_Dominica dtype: int64 - name: Country_Dominican Republic dtype: int64 - name: Country_Ecuador dtype: int64 - name: Country_Egypt dtype: int64 - name: Country_El Salvador dtype: int64 - name: Country_Equatorial Guinea dtype: int64 - name: Country_Eritrea dtype: int64 - name: Country_Estonia dtype: int64 - name: Country_Ethiopia dtype: int64 - name: Country_Fiji dtype: int64 - name: Country_Finland dtype: int64 - name: Country_France dtype: int64 - name: Country_Gabon dtype: int64 - name: Country_Gambia dtype: int64 - name: Country_Georgia dtype: int64 - name: Country_Germany dtype: int64 - name: Country_Ghana dtype: int64 - name: Country_Greece dtype: int64 - name: Country_Grenada dtype: int64 - name: Country_Guatemala dtype: int64 - name: Country_Guinea dtype: int64 - name: Country_Guinea-Bissau dtype: int64 - name: Country_Guyana dtype: int64 - name: Country_Haiti dtype: int64 - name: Country_Honduras dtype: int64 - name: Country_Hungary dtype: int64 - name: Country_Iceland dtype: int64 - name: Country_India dtype: int64 - name: Country_Indonesia dtype: int64 - name: Country_Iran (Islamic Republic of) dtype: int64 - name: Country_Iraq dtype: int64 - name: Country_Ireland dtype: int64 - name: Country_Israel dtype: int64 - name: Country_Italy dtype: int64 - name: Country_Jamaica dtype: int64 - name: Country_Japan dtype: int64 - name: Country_Jordan dtype: int64 - name: Country_Kazakhstan dtype: int64 - name: Country_Kenya dtype: int64 - name: Country_Kiribati dtype: int64 - name: Country_Kuwait dtype: int64 - name: Country_Kyrgyzstan dtype: int64 - name: Country_Lao People's Democratic Republic dtype: int64 - name: Country_Latvia dtype: int64 - name: Country_Lebanon dtype: int64 - name: Country_Lesotho dtype: int64 - name: Country_Liberia dtype: int64 - name: Country_Libya dtype: int64 - name: Country_Lithuania dtype: int64 - name: Country_Luxembourg dtype: int64 - name: Country_Madagascar dtype: int64 - name: Country_Malawi dtype: int64 - name: Country_Malaysia dtype: int64 - name: Country_Maldives dtype: int64 - name: Country_Mali dtype: int64 - name: Country_Malta dtype: int64 - name: Country_Marshall Islands dtype: int64 - name: Country_Mauritania dtype: int64 - name: Country_Mauritius dtype: int64 - name: Country_Mexico dtype: int64 - name: Country_Micronesia (Federated States of) dtype: int64 - name: Country_Monaco dtype: int64 - name: Country_Mongolia dtype: int64 - name: Country_Montenegro dtype: int64 - name: Country_Morocco dtype: int64 - name: Country_Mozambique dtype: int64 - name: Country_Myanmar dtype: int64 - name: Country_Namibia dtype: int64 - name: Country_Nauru dtype: int64 - name: Country_Nepal dtype: int64 - name: Country_Netherlands dtype: int64 - name: Country_New Zealand dtype: int64 - name: Country_Nicaragua dtype: int64 - name: Country_Niger dtype: int64 - name: Country_Nigeria dtype: int64 - name: Country_Niue dtype: int64 - name: Country_Norway dtype: int64 - name: Country_Oman dtype: int64 - name: Country_Pakistan dtype: int64 - name: Country_Palau dtype: int64 - name: Country_Panama dtype: int64 - name: Country_Papua New Guinea dtype: int64 - name: Country_Paraguay dtype: int64 - name: Country_Peru dtype: int64 - name: Country_Philippines dtype: int64 - name: Country_Poland dtype: int64 - name: Country_Portugal dtype: int64 - name: Country_Qatar dtype: int64 - name: Country_Republic of Korea dtype: int64 - name: Country_Republic of Moldova dtype: int64 - name: Country_Romania dtype: int64 - name: Country_Russian Federation dtype: int64 - name: Country_Rwanda dtype: int64 - name: Country_Saint Kitts and Nevis dtype: int64 - name: Country_Saint Lucia dtype: int64 - name: Country_Saint Vincent and the Grenadines dtype: int64 - name: Country_Samoa dtype: int64 - name: Country_San Marino dtype: int64 - name: Country_Sao Tome and Principe dtype: int64 - name: Country_Saudi Arabia dtype: int64 - name: Country_Senegal dtype: int64 - name: Country_Serbia dtype: int64 - name: Country_Seychelles dtype: int64 - name: Country_Sierra Leone dtype: int64 - name: Country_Singapore dtype: int64 - name: Country_Slovakia dtype: int64 - name: Country_Slovenia dtype: int64 - name: Country_Solomon Islands dtype: int64 - name: Country_Somalia dtype: int64 - name: Country_South Africa dtype: int64 - name: Country_South Sudan dtype: int64 - name: Country_Spain dtype: int64 - name: Country_Sri Lanka dtype: int64 - name: Country_Sudan dtype: int64 - name: Country_Suriname dtype: int64 - name: Country_Swaziland dtype: int64 - name: Country_Sweden dtype: int64 - name: Country_Switzerland dtype: int64 - name: Country_Syrian Arab Republic dtype: int64 - name: Country_Tajikistan dtype: int64 - name: Country_Thailand dtype: int64 - name: Country_The former Yugoslav republic of Macedonia dtype: int64 - name: Country_Timor-Leste dtype: int64 - name: Country_Togo dtype: int64 - name: Country_Tonga dtype: int64 - name: Country_Trinidad and Tobago dtype: int64 - name: Country_Tunisia dtype: int64 - name: Country_Turkey dtype: int64 - name: Country_Turkmenistan dtype: int64 - name: Country_Tuvalu dtype: int64 - name: Country_Uganda dtype: int64 - name: Country_Ukraine dtype: int64 - name: Country_United Arab Emirates dtype: int64 - name: Country_United Kingdom of Great Britain and Northern Ireland dtype: int64 - name: Country_United Republic of Tanzania dtype: int64 - name: Country_United States of America dtype: int64 - name: Country_Uruguay dtype: int64 - name: Country_Uzbekistan dtype: int64 - name: Country_Vanuatu dtype: int64 - name: Country_Venezuela (Bolivarian Republic of) dtype: int64 - name: Country_Viet Nam dtype: int64 - name: Country_Yemen dtype: int64 - name: Country_Zambia dtype: int64 - name: Country_Zimbabwe dtype: int64 - name: Status_Developed dtype: int64 - name: Status_Developing dtype: int64 - name: real dtype: float64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 159522840 num_examples: 88485 - name: validation num_bytes: 22526280 num_examples: 12495 - name: test num_bytes: 45512280 num_examples: 25245 download_size: 14865507 dataset_size: 227561400 - config_name: ltfsid features: - name: instance dtype: int64 - name: Area dtype: int64 - name: Sensing Range dtype: int64 - name: Transmission Range dtype: int64 - name: Number of Sensor nodes dtype: int64 - name: real dtype: int64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 1221480 num_examples: 9945 - name: validation num_bytes: 156600 num_examples: 1275 - name: test num_bytes: 344520 num_examples: 2805 download_size: 222167 dataset_size: 1722600 - config_name: music_popularity features: - name: instance dtype: int64 - name: acousticness dtype: float64 - name: danceability dtype: float64 - name: duration_ms dtype: int64 - name: energy dtype: float64 - name: explicit dtype: int64 - name: instrumentalness dtype: float64 - name: key dtype: int64 - name: liveness dtype: float64 - name: loudness dtype: float64 - name: mode dtype: int64 - name: speechiness dtype: float64 - name: tempo dtype: float64 - name: valence dtype: float64 - name: year dtype: int64 - name: real dtype: int64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 473548320 num_examples: 2334780 - name: validation num_bytes: 67649760 num_examples: 333540 - name: test num_bytes: 135299520 num_examples: 667080 download_size: 261111067 dataset_size: 676497600 - config_name: parkinsons_motor features: - name: instance dtype: int64 - name: age dtype: int64 - name: testTime dtype: float64 - name: Jitter dtype: float64 - name: JitterAbs dtype: float64 - name: JitterRAP dtype: float64 - name: JitterPPQ5 dtype: float64 - name: JitterDDP dtype: float64 - name: Shimmer dtype: float64 - name: ShimmerdB dtype: float64 - name: ShimmerAPQ3 dtype: float64 - name: ShimmerAPQ5 dtype: float64 - name: ShimmerAPQ11 dtype: float64 - name: ShimmerDDA dtype: float64 - name: NHR dtype: float64 - name: HNR dtype: float64 - name: RPDE dtype: float64 - name: DFA dtype: float64 - name: PPE dtype: float64 - name: sex dtype: int64 - name: real dtype: float64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 76471200 num_examples: 314925 - name: validation num_bytes: 10897920 num_examples: 44880 - name: test num_bytes: 21795840 num_examples: 89760 download_size: 54813165 dataset_size: 109164960 - config_name: parkinsons_total features: - name: instance dtype: int64 - name: age dtype: int64 - name: testTime dtype: float64 - name: Jitter dtype: float64 - name: JitterAbs dtype: float64 - name: JitterRAP dtype: float64 - name: JitterPPQ5 dtype: float64 - name: JitterDDP dtype: float64 - name: Shimmer dtype: float64 - name: ShimmerdB dtype: float64 - name: ShimmerAPQ3 dtype: float64 - name: ShimmerAPQ5 dtype: float64 - name: ShimmerAPQ11 dtype: float64 - name: ShimmerDDA dtype: float64 - name: NHR dtype: float64 - name: HNR dtype: float64 - name: RPDE dtype: float64 - name: DFA dtype: float64 - name: PPE dtype: float64 - name: sex dtype: int64 - name: real dtype: float64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 76471200 num_examples: 314925 - name: validation num_bytes: 10897920 num_examples: 44880 - name: test num_bytes: 21795840 num_examples: 89760 download_size: 54936377 dataset_size: 109164960 - config_name: swCSC features: - name: instance dtype: int64 - name: AFP dtype: float64 - name: FEh dtype: int64 - name: PT_D dtype: bool - name: PT_P dtype: bool - name: PT_Unk dtype: bool - name: FEM_A dtype: bool - name: FEM_C dtype: bool - name: FEM_CAE dtype: bool - name: FEM_D dtype: bool - name: FEM_EO dtype: bool - name: FEM_W dtype: bool - name: real dtype: int64 - name: prediction dtype: float64 - name: model dtype: string - name: cpu_training_time dtype: int64 - name: cpu_prediction_time dtype: int64 - name: memory_usage dtype: int64 - name: max_depth dtype: int64 - name: learning_rate dtype: float64 - name: n_estimators dtype: int64 splits: - name: train num_bytes: 880860 num_examples: 8160 - name: validation num_bytes: 110112 num_examples: 1020 - name: test num_bytes: 220215 num_examples: 2040 download_size: 199054 dataset_size: 1211187 configs: - config_name: abalone data_files: - split: train path: abalone/train-* - split: validation path: abalone/validation-* - split: test path: abalone/test-* - config_name: auction_verification data_files: - split: train path: auction_verification/train-* - split: validation path: auction_verification/validation-* - split: test path: auction_verification/test-* - config_name: bng_echoMonths data_files: - split: train path: bng_echoMonths/train-* - split: validation path: bng_echoMonths/validation-* - split: test path: bng_echoMonths/test-* - config_name: california_housing data_files: - split: train path: california_housing/train-* - split: validation path: california_housing/validation-* - split: test path: california_housing/test-* - config_name: infrared data_files: - split: train path: infrared/train-* - split: validation path: infrared/validation-* - split: test path: infrared/test-* - config_name: life_expectancy data_files: - split: train path: life_expectancy/train-* - split: validation path: life_expectancy/validation-* - split: test path: life_expectancy/test-* - config_name: ltfsid data_files: - split: train path: ltfsid/train-* - split: validation path: ltfsid/validation-* - split: test path: ltfsid/test-* - config_name: music_popularity data_files: - split: train path: music_popularity/train-* - split: validation path: music_popularity/validation-* - split: test path: music_popularity/test-* - config_name: parkinsons_motor data_files: - split: train path: parkinsons_motor/train-* - split: validation path: parkinsons_motor/validation-* - split: test path: parkinsons_motor/test-* - config_name: parkinsons_total data_files: - split: train path: parkinsons_total/train-* - split: validation path: parkinsons_total/validation-* - split: test path: parkinsons_total/test-* - config_name: swCSC data_files: - split: train path: swCSC/train-* - split: validation path: swCSC/validation-* - split: test path: swCSC/test-* task_categories: - tabular-regression modalities: - tabular --- # Assessors For Regression: Loss Analysis - Instance Level Results AFRLA - Instance Level Results is a collection of predictions at the instance/example level for eleven different regression tasks tested on 255 tree-based models (also called "base systems"). The aim of this dataset is to provide example-level results to train assessor models to predict performance of the tree-based models. ## The dataset The dataset presents eleven sections (one per regression task), with varying degrees of performance, difficulty and characteristics from the original tasks. Every one of the 255 models was trained on a subset of the dataset used for every task, and the results shown here are the test (never-before-seen by the models) predictions. Each subset has: - An **instance identifier** indicating the instance nº from the test set. This is just an identifier and it is not usually employed for training assessors, although in some occasions it may be useful for other analysis. - The **original task features**, the features used by the models to learn the task. Along with the instance identifier, they fully describe a test example. - The **model features**, descriptors of the 255 models. Mainly: - The model used (XGBoost, Random Forest, Decision Tree...) - Hyperparameters such as the maximum depth, number of estimators if applicable... - Profiling metrics such as training time, inference time or memory usage These metrics are not recorded per example, but rather per model (that is, if the inference time is 1.2 ms, the model predicted *the entirety of the test dataset* in that time, instead of just that example), and are then casted for each example. As such, they fully describre a model. ![Boo](./Nomenclature.png) ## Partitions and versions The sections are already partitioned into a predefined train-validation-test split for training assessors. Assessors need a particular kind of partitioning (mainly stratified by instance identifier to avoid contamination), so that's why the subsets are given. The **main** branch contains the unaltered datasets, keeping the original values of the task and model characteristics, whereas the **normalised** branch contains the datasets properly normalised (numerical features are centered and scaled and categorical features are transformed into dummies). ## Original tasks
Dataset #Feat. #Inst (test). Cat. Num. Domain
Abalone 8 4177 Yes Yes Biology
Auction Verification 8 2043 Yes Yes Commerce
BNG EchoMonts 10 17496 Yes Yes Health
California Housing 8 20640 Yes Yes Real State
Infrared Thermography Temperature 33 1020 Yes Yes Health
Intrusion detection 4 182 No Yes Computer Science
Life Expectancy 21 2938 Yes Yes Health
Music Popularity 14 43597 Yes Yes Music
Parkinsons Telemonitoring (motor) 20 5875 No Yes Health
Parkinsons Telemonitoring (total) 20 5875 No Yes Health
Software Cost Estimation 6 145 Yes Yes Projects