NeurEco models are much smaller and more accurate

Test Case Task Number of inputs Number of outputs TF Test Error  NeurEco  Test Error Error NeurEco / Error TF TF Total Parameters NeurEco Total Parameters Size TF / Size NeurEco Dataset Link
Mean 0,93 3 138
ExoplanetHuntingInDeepSpace Classification 3 197 2 0,53 0,35 0,67 64 644 180 359 https://www.kaggle.com/keplersmachines/kepler-labelled-time-series-data
AntennaPower Regression 10 3 1,92 0,08 0,04 994 363 114 8 722 https://www.kaggle.com/renanmav/metamaterial-antennas
 CombinedCyclePowerPlant Classification 4 1 0,88 0,81 0,92 10 289 282 36 https://archive.ics.uci.edu/ml/Datasets/Combined+Cycle+Power+Plant
ElectricalGridStability Classification 13 2 0,40 0,35 0,88 2 192 863 3 https://archive.ics.uci.edu/ml/Datasets/Electrical+Grid+Stability+Simulated+Data+
FEMSimulations Regression 9 4 5,68 5,06 0,89 108 794 428 254 https://www.kaggle.com/daalgi/fem-simulations
Pumadyn Regression 32 1 20,24 17,02 0,84 113 141 137 826 http://www.cs.toronto.edu/~delve/data/pumadyn/desc.html
WallFollowingRobot Classification 24 4 8,70 6,41 0,74 99 314 2 765 36 https://www.kaggle.com/uciml/wall-following-robot#sensor_readings_24.csv
ParkinsonsTelemonitoring Regression 19 2 13,59 4,68 0,34 1 472 566 3 https://archive.ics.uci.edu/ml/Datasets/Parkinsons+Telemonitoring
SensorlessDrive Classification 48 11 1,23 0,82 0,67 1 709 865 2 https://archive.ics.uci.edu/ml/Datasets/Dataset+for+sensorless+drive+diagnosis
 SmartphoneActivity Classification 561 6 2,09 1,46 0,70 14 006 667 21 https://www.mldata.io/Dataset-details/smartphone_activity/
Superconductivty Regression 81 1 26,05 24,86 0,95 4 335 585 7 https://archive.ics.uci.edu/ml/Datasets/Superconductivty+Data
EnergyConsumption Regression 5 1 10,92 7,90 0,72 231 99 2 ADAGOS Dataset
FishToxicity Regression 6 1 24,47 22,75 0,93 1 101 187 6 https://archive.ics.uci.edu/ml/Datasets/QSAR+fish+toxicity
PhonePosition Regression 7 1 1,85 1,80 0,97 911 376 2 ADAGOS Dataset
AirfoilSelfNoise Regression 5 1 1,65 1,02 0,61 1 441 421 3 https://archive.ics.uci.edu/ml/Datasets/Airfoil+Self-Noise
ApsFailureAtScaniaTrucks Classification 170 2 0,96 0,90 0,94 3 678 705 5 https://archive.ics.uci.edu/ml/Datasets/APS+Failure+at+Scania+Trucks
MiceProteinExpression Classification 77 8 0,46 0,46 1,00 519 598 1 635 318 https://www.kaggle.com/ruslankl/mice-protein-expression
TemperatureForecasting Regression 39 1 0,20 0,03 0,13 121 381 961 126 https://www.kaggle.com/pankrzysiu/weather-archive-jena
ComputerHardware Regression 7 1 6,53 1,75 0,27 197 47 4 https://www.mldata.io/Dataset-details/computer_hardware/
KinFamily Regression 32 1 14,30 13,06 0,91 165 181 117 1 412 http://www.cs.toronto.edu/~delve/data/kin/desc.html
MaintenanceOfNavalPropulsionPlants Regression 16 2 0,05 0,00 0,03 3 952 579 7 https://archive.ics.uci.edu/ml/Datasets/Condition+Based+Maintenance+of+Naval+Propulsion+Plants
GraspingDataset Regression 28 1 25,35 23,53 0,93 116 781 128 912 https://www.kaggle.com/ugocupcic/grasping-Dataset
Disk Classification 2 1 0,00 0,00 1,00 1 341 23 58 ADAGOS Dataset
MeteoSwift7207 Regression 4 612 1 26,18 2,72 0,10 93 381 202 462 ADAGOS Dataset
MeteoSwift7558 Regression 4 612 1 35,95 33,97 0,94 18 609 113 165 ADAGOS Dataset
Statlog (Vehicle Silhouettes) Classification 18 4 14,71 16,47 1,12 3 282 73 45 https://archive.ics.uci.edu/ml/Datasets/Statlog+(Vehicle+Silhouettes)
CSClassification Classification 75 684 2 0,56 0,28 0,50 3 710 162 23 ADAGOS Dataset
Abalone_Dataset Regression 7 1 19,40 19,53 1,01 911 16 57 https://www.mldata.io/Dataset-details/abalone/
Alcohol QCM Sensor Classification 10 5 0,00 0,00 1,00 51 525 102 505 https://archive.ics.uci.edu/ml/Datasets/Alcohol+QCM+Sensor+Dataset
Auto_mpg Regression 7 1 11,61 11,13 0,96 2 431 161 15 https://www.mldata.io/Dataset-details/auto_mpg/
CallTestsMeasurements Regression 5 1 27,22 27,06 0,99 909 44 21 https://www.kaggle.com/valeriol93/predict-qoe
CarbonNanotubes Regression 5 3 1,26 1,12 0,89 2 073 151 14 https://www.kaggle.com/inancigdem/carbon-nanotubes
Bioassay Classification 144 2 1,40 1,40 1,00 193 832 1 859 104 https://www.kaggle.com/uciml/bioassay-Datasets
Blood Transfusion Classification 4 2 21,33 24,00 1,13 970 252 14 69 304 https://data.world/uci/blood-transfusion-service-center
Boston Regression 13 1 15,00 15,48 1,03 110 981 287 387 http://www.cs.toronto.edu/~delve/data/boston/desc.html
Computer_hardware Regression 7 1 6,53 1,75 0,27 197 47 4 https://www.mldata.io/Dataset-details/computer_hardware/
Concrete Compressive Strength Regression 8 1 13,75 17,55 1,28 1 291 205 6 https://archive.ics.uci.edu/ml/Datasets/Concrete+Compressive+Strength
DriveFace Classification 15 3 0,00 0,00 1,00 13 983 153 91 https://archive.ics.uci.edu/ml/Datasets/DrivFace
HTRU2 Classification 8 2 1,90 1,96 1,03 990 302 66 15 005 https://archive.ics.uci.edu/ml/Datasets/HTRU2
Lower Back Pain Classification 12 2 12,90 16,13 1,25 264 239 1 https://www.kaggle.com/sammy123/lower-back-pain-symptoms-Dataset
Mushroom Classification Classification 22 2 0,00 0,00 1,00 523 902 95 5 515 https://www.kaggle.com/uciml/mushroom-classification
Iris Classification 4 3 3,33 3,33 1,00 595 75 8 https://www.mldata.io/Dataset-details/iris/
Add10 Regression 10 1 7,73 6,61 0,85 516 781 59 8 759 http://www.cs.toronto.edu/~delve/data/add10/desc.html
Biomechanical features Classification 6 3 12,90 12,90 1,00 87 683 89 985 https://www.kaggle.com/uciml/biomechanical-features-of-orthopedic-patients
BreastCancer Classification 30 2 1,75 2,63 1,50 25 552 56 456 https://www.kaggle.com/shravan3273/breast-cancer-classifiction
Classic Car MPG prediction Regression 7 1 36,74 33,70 0,92 3 151 223 14 https://www.kaggle.com/happyklans/classic-car-mpg-prediction
Comp-activ Regression 21 1 2,79 3,22 1,15 111 341 465 239 http://www.cs.toronto.edu/~delve/data/comp-activ/compActivDetail.html
Ecoli Classification 7 8 14,71 11,76 0,80 5 440 472 12 https://archive.ics.uci.edu/ml/Datasets/Ecoli
Gender_voice Classification 20 2 2,37 2,68 1,13 1 264 46 27 https://www.mldata.io/Dataset-details/gender_voice/
heart_disease Classification 13 2 16,39 16,39 1,00 2 032 69 29 https://www.mldata.io/Dataset-details/heart_disease/
Image Segmentation Classification 19 7 2,60 3,03 1,17 1 217 859 1 https://archive.ics.uci.edu/ml/Datasets/Image+Segmentation
Kidney Disease Classification 24 2 0,00 0,00 1,00 45 252 128 354 https://www.kaggle.com/akshayksingh/kidney-disease-Dataset
Kin family Regression 32 1 14,30 13,06 0,91 165 181 117 1 412 http://www.cs.toronto.edu/~delve/data/kin/desc.html
Kyasanur Forest Disease Classification 24 4 20,00 21,25 1,06 126 154 1 068 118 https://www.kaggle.com/abhisheknits/kyasanur-forest-disease-kfd
MAGIC Gamma Telescope Classification 10 2 12,25 11,17 0,91 982 172 6 https://archive.ics.uci.edu/ml/Datasets/MAGIC+Gamma+Telescope
Malware_beningn_permissions_Android Classification 330 2 7,50 10,00 1,33 739 652 6 123 275 https://www.kaggle.com/xwolf12/Datasetandroidpermissions
Real estate valuation Regression 6 1 16,52 16,63 1,01 119 98 1 https://archive.ics.uci.edu/ml/Datasets/Real+estate+valuation+data+set
Ringnorm Classification 20 2 1,89 3,51 1,86 371 132 1 761 211 http://www.cs.toronto.edu/~delve/data/ringnorm/desc.html
SECOM Classification 13 2 7,64 7,64 1,00 9 916 54 184 https://archive.ics.uci.edu/ml/Datasets/SECOM
Twonorm Classification 20 2 2,64 2,30 0,87 470 412 46 10 226 http://www.cs.toronto.edu/~delve/data/twonorm/desc.html
Waves Measuring Regression 5 1 8,85 9,17 1,04 103 721 133 780 https://www.kaggle.com/jolasa/waves-measuring-buoys-data-mooloolaba
Yacht Hydrodynamics Regression 6 1 5,74 2,14 0,37 1 321 210 6 https://archive.ics.uci.edu/ml/Datasets/Yacht+Hydrodynamics
NASA Asteroids Classification 33 2 1,29 0,91 0,70 585 632 128 4 575 https://www.kaggle.com/shrutimehta/nasa-asteroids-classification
Plantar Fasciitis Classification 11 2 6,49 7,79 1,20 266 532 145 1 838 https://www.kaggle.com/rameessahlu/plantar-fasciitis
Predicting a Pulsar Star Classification 8 2 2,18 2,21 1,01 27 052 70 386 https://www.kaggle.com/pavanraj159/predicting-a-pulsar-star
QSAR biodegradation Classification 41 2 12,32 15,64 1,27 15 952 166 96 https://archive.ics.uci.edu/ml/Datasets/QSAR+biodegradation
Seed Classification 7 3 4,76 4,76 1,00 20 303 53 383 https://www.kaggle.com/dongeorge/seed-from-uci
TMD Classification 13 5 19,51 16,03 0,82 498 885 534 934 https://www.kaggle.com/fschwartzer/tmd-Dataset-5-seconds-sliding-window
Uniqlo (FastRetailing) Regression 5 1 1,42 0,53 0,38 146 141 74 1 975 https://www.kaggle.com/daiearth22/uniqlo-fastretailing-stock-price-prediction#Uniqlo(FastRetailing) 2012-2016 Training - stocks2012-2016.csv
Volcanoes on Venus Classification 12 100 2 8,52 11,89 1,39 1 454 772 100 14 548 https://www.kaggle.com/fmena14/volcanoesvenus
Maintenance of Naval Propulsion Plants Regression 16 2 0,05 0,00 0,03 3 952 579 7 https://archive.ics.uci.edu/ml/Datasets/Condition+Based+Maintenance+of+Naval+Propulsion+Plants
Letter Classification 16 26 4,83 4,13 0,85 515 846 3 913 132 http://www.cs.toronto.edu/~delve/data/letter/desc.html
Pen-Based Recognition of Handwritten Digits Classification 16 10 2,46 2,72 1,10 38 050 3 507 11 https://archive.ics.uci.edu/ml/Datasets/Pen-Based+Recognition+of+Handwritten+Digits
Skin Segmentation Classification 3 2 0,07 0,04 0,65 764 98 8 https://archive.ics.uci.edu/ml/Datasets/Skin+Segmentation
Diamonds_price Regression 9 1 9,94 9,96 1,00 429 721 233 1 844 https://www.kaggle.com/shivam2503/diamonds
Hawng Regression 2 10 5,64 5,52 0,98 1 225 620 1 018 1 204 http://www.cs.toronto.edu/~delve/data/hwang/desc.html
Statlog (Shuttle) Classification 8 7 0,17 0,02 0,12 12 707 311 41 https://archive.ics.uci.edu/ml/Datasets/Statlog+(Shuttle)
Electric car speed_id20 Regression 7 5 14,43 6,47 0,45 116 274 372 313 https://www.kaggle.com/wkirgsn/electric-motor-temperature
Torsion Regression 15 1 30,01 29,12 0,97 1 181 150 8 ADAGOS Dataset
LowFrequency Regression 3 1 000 1,56 1,08 0,69 1 812 860 41 756 43 ADAGOS Dataset
Balance Classification 4 3 0,00 0,00 1,00 110 572 696 159 https://archive.ics.uci.edu/ml/Datasets/Balance+Scale
BHP Classification 21 4 0,00 0,00 1,00 1 004 154 583 1 722 https://archive.ics.uci.edu/ml/Datasets/Burst+Header+Packet+(BHP)+flooding+attack+on+Optical+Burst+Switching+(OBS)+Network
CNC Mill Tool Wear Classification 47 2 10,76 6,41 0,60 72 152 378 191 https://www.kaggle.com/shasun/tool-wear-detection-in-cnc-mill
Musk Classification 166 2 0,08 0,53 7,01 609 752 4 632 132 https://archive.ics.uci.edu/ml/Datasets/Musk+(Version+2)
Prediction of Asteroid Diameter Regression 19 1 1,00 0,00 0,00 198 541 87 2 282 https://www.kaggle.com/basu369victor/prediction-of-asteroid-diameter
Waveform Classification 40 3 14,30 13,20 0,92 1 011 103 89 11 361 https://archive.ics.uci.edu/ml/Datasets/Waveform+Database+Generator+(Version+1)
Classify gestures by reading muscle activity Classification 64 4 6,85 10,15 1,48 237 414 9 398 25 https://www.kaggle.com/kyr7plus/emg-4
 Energy efficiency Regression 8 2 2,38 2,63 1,10 11 127 149 75 https://archive.ics.uci.edu/ml/Datasets/Energy+efficiency
Climate Model Simulation Crashes Classification 18 2 7,41 9,26 1,25 312 159 2 https://archive.ics.uci.edu/ml/Datasets/Climate+Model+Simulation+Crashes
Activity Recognition Classification 3 7 14,95 14,87 0,99 1 927 108 18 https://archive.ics.uci.edu/ml/Datasets/Activity+Recognition+from+Single+Chest-Mounted+Accelerometer
Avila Classification 10 12 14,54 7,79 0,54 7 932 609 13 https://archive.ics.uci.edu/ml/Datasets/Avila
BCM_Energy Regression 18 2 13,04 13,32 1,02 3 952 613 6 https://challengedata.ens.fr/challenges/29
Servo Regression 4 1 24,43 14,39 0,59 99 921 124 806 https://archive.ics.uci.edu/ml/Datasets/Servo
Genome Classification 315 345 26 6,96 7,39 1,06 240 028 4 977 48 ftp://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/20130502/supporting/hd_genotype_chip/
Anuran Calls Classification 22 10 1,32 1,11 0,84 905 020 921 983 https://archive.ics.uci.edu/ml/Datasets/Anuran+Calls+(MFCCs)