Ensemble

Dataset: wisconsin

Models

Model Narratives

gemini

Round ID: 85
Prompt used:
	If mean_surface_roughness > 400 AND mean_tidal_distortion < 200, then Qtharri. Else If mean_surface_roughness > 400, then Fylaran. Else if mean_cloud_turbulence > 400 AND mean_surface_roughness < 400, then Qtharri. Else if mean_cloud_turbulence > 400, then Fylaran. Else if mean_cloud_turbulence < 200 AND mean_tidal_distortion > 400, then Fylaran. Else Qtharri

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    14                   18
Actual Qtharri                     2                   32

Accuracy: 0.697
Precision: 0.875
Recall: 0.438
F1 Score: 0.583

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 3.11839228628988
	mean_surface_roughness: 449.0
	mean_magnetosphere_extent: 4.97948856509942
	mean_atmospheric_depth: 7.24992553671799
	mean_tidal_distortion: 528.5
	mean_core_density: 0.827335153470671
	mean_ring_system_complexity: 0.78064012490242
	mean_impact_crater_count: 0.864902266043937
	mean_axial_symmetry: 517.0
	mean_cloud_turbulence: 424.0
	orbital_radius_error: 0.790063288604147
	surface_roughness_error: 0.959635347410671
	magnetosphere_extent_error: 2.03911745615597
	atmospheric_depth_error: 8.99944442729661
	tidal_distortion_error: 0.0722149568995232
	core_density_error: 0.193028495305745
	ring_system_complexity_error: 0.217209576216151
	impact_crater_count_error: 0.113490087672889
	axial_symmetry_error: 0.143003496460751
	cloud_turbulence_error: 0.0634665266104897
	max_orbital_radius: 3.30431930668567
	max_surface_roughness: 405.0
	max_magnetosphere_extent: 5.15329159449778
	max_atmospheric_depth: 7.64108424917491
	max_tidal_distortion: 456.0
	max_core_density: 0.636253737990711
	max_ring_system_complexity: 0.586407083797572
	max_impact_crater_count: 0.805023345677025
	max_axial_symmetry: 532.0
	max_cloud_turbulence: 481.0


Examples for Falsely predicted Qtharri when it should have been Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.8100049236252
	mean_surface_roughness: 314.0
	mean_magnetosphere_extent: 4.61512051684126
	mean_atmospheric_depth: 6.63279197893813
	mean_tidal_distortion: 48.0
	mean_core_density: 0.94682623844872
	mean_ring_system_complexity: 0.959610014490111
	mean_impact_crater_count: 0.972318103590771
	mean_axial_symmetry: 87.0
	mean_cloud_turbulence: 37.0
	orbital_radius_error: 0.479374592568275
	surface_roughness_error: 0.999399819891919
	magnetosphere_extent_error: 1.23854753643128
	atmospheric_depth_error: 4.70956473572665
	tidal_distortion_error: 0.053160135440008
	core_density_error: 0.095420123663722
	ring_system_complexity_error: 0.114498908291739
	impact_crater_count_error: 0.0719305220334178
	axial_symmetry_error: 0.100647901120689
	cloud_turbulence_error: 0.0366742416417845
	max_orbital_radius: 2.93969088267037
	max_surface_roughness: 473.0
	max_magnetosphere_extent: 4.76131886847802
	max_atmospheric_depth: 6.89730082107828
	max_tidal_distortion: 84.0
	max_core_density: 0.846955196070128
	max_ring_system_complexity: 0.815660685154976
	max_impact_crater_count: 0.921081718370054
	max_axial_symmetry: 220.0
	max_cloud_turbulence: 94.0


Examples for Falsely predicted Fylaran when it should have been Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.41412646772695
	mean_surface_roughness: 211.5
	mean_magnetosphere_extent: 4.19147127295282
	mean_atmospheric_depth: 5.7497114065446
	mean_tidal_distortion: 434.5
	mean_core_density: 0.921641997382537
	mean_ring_system_complexity: 0.982627151953463
	mean_impact_crater_count: 0.981209831722514
	mean_axial_symmetry: 385.0
	mean_cloud_turbulence: 483.0
	orbital_radius_error: 0.496689037527506
	surface_roughness_error: 1.10317722964173
	magnetosphere_extent_error: 1.28101522239199
	atmospheric_depth_error: 3.87943294825416
	tidal_distortion_error: 0.0888763185556198
	core_density_error: 0.118321595661992
	ring_system_complexity_error: 0.092379651439048
	impact_crater_count_error: 0.0873155198117723
	axial_symmetry_error: 0.162388423232692
	cloud_turbulence_error: 0.0613269924258479
	max_orbital_radius: 2.49897390699944
	max_surface_roughness: 199.0
	max_magnetosphere_extent: 4.28963718538053
	max_atmospheric_depth: 5.93118361622305
	max_tidal_distortion: 372.5
	max_core_density: 0.874125874125874
	max_ring_system_complexity: 0.938332770333671
	max_impact_crater_count: 0.947193937958797
	max_axial_symmetry: 378.5
	max_cloud_turbulence: 388.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.62900699376176
	mean_surface_roughness: 232.0
	mean_magnetosphere_extent: 4.43307614934957
	mean_atmospheric_depth: 6.22910254457264
	mean_tidal_distortion: 342.0
	mean_core_density: 0.912858525185767
	mean_ring_system_complexity: 0.96256581543763
	mean_impact_crater_count: 0.977373796608513
	mean_axial_symmetry: 225.5
	mean_cloud_turbulence: 218.0
	orbital_radius_error: 0.51526692111953
	surface_roughness_error: 1.04642247682282
	magnetosphere_extent_error: 1.33341666406266
	atmospheric_depth_error: 4.51109742745598
	tidal_distortion_error: 0.0727530068107154
	core_density_error: 0.128879788950789
	ring_system_complexity_error: 0.143909693905588
	impact_crater_count_error: 0.0904378239455152
	axial_symmetry_error: 0.132211951048307
	cloud_turbulence_error: 0.0533666562565053
	max_orbital_radius: 2.7239235502585
	max_surface_roughness: 261.0
	max_magnetosphere_extent: 4.53130833738964
	max_atmospheric_depth: 6.43470701955018
	max_tidal_distortion: 256.0
	max_core_density: 0.823655382587925
	max_ring_system_complexity: 0.852442247037763
	max_impact_crater_count: 0.92656079165354
	max_axial_symmetry: 266.5
	max_cloud_turbulence: 271.5


gemini25

Round ID: 125
Prompt used:
	Predict the classification based on the following rules. Use the first rule that matches:
	
	1. If mean_atmospheric_depth >= 6.7 AND mean_surface_roughness >= 200, predict Fylaran.
	2. Else if max_atmospheric_depth >= 7.0 AND mean_surface_roughness >= 100, predict Fylaran.
	3. Else if mean_core_density >= 0.92 AND mean_atmospheric_depth < 6.2, predict Qtharri.
	4. Else if max_atmospheric_depth >= 6.8 AND mean_surface_roughness >= 100, predict Fylaran.
	5. Else if mean_atmospheric_depth >= 6.2 AND mean_surface_roughness >= 400 AND mean_core_density < 0.92, predict Fylaran.
	6. Else (if none of the above conditions is met), predict Qtharri.
	
	Classification:
	

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    26                    6
Actual Qtharri                     1                   33

Accuracy: 0.894
Precision: 0.963
Recall: 0.812
F1 Score: 0.881

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 3.0568273729138
	mean_surface_roughness: 467.0
	mean_magnetosphere_extent: 4.89335213348152
	mean_atmospheric_depth: 7.14282740116162
	mean_tidal_distortion: 215.0
	mean_core_density: 0.883938831432865
	mean_ring_system_complexity: 0.872219799389446
	mean_impact_crater_count: 0.920107100466494
	mean_axial_symmetry: 491.0
	mean_cloud_turbulence: 93.5
	orbital_radius_error: 0.870402205879558
	surface_roughness_error: 1.22841361112615
	magnetosphere_extent_error: 2.13401030925345
	atmospheric_depth_error: 9.37389993545909
	tidal_distortion_error: 0.0775628777186613
	core_density_error: 0.186601178988773
	ring_system_complexity_error: 0.205718253929981
	impact_crater_count_error: 0.112649900133112
	axial_symmetry_error: 0.1630030674558
	cloud_turbulence_error: 0.0664153596692813
	max_orbital_radius: 3.22763733053677
	max_surface_roughness: 470.0
	max_magnetosphere_extent: 5.05688254526158
	max_atmospheric_depth: 7.46794233228585
	max_tidal_distortion: 158.5
	max_core_density: 0.738606987222099
	max_ring_system_complexity: 0.709320470988793
	max_impact_crater_count: 0.86408018664132
	max_axial_symmetry: 522.0
	max_cloud_turbulence: 347.5


Examples for Falsely predicted Qtharri when it should have been Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.7434173449395
	mean_surface_roughness: 542.0
	mean_magnetosphere_extent: 4.58220857435074
	mean_atmospheric_depth: 6.49193675879448
	mean_tidal_distortion: 506.0
	mean_core_density: 0.86244070720138
	mean_ring_system_complexity: 0.859180341953776
	mean_impact_crater_count: 0.931410901233188
	mean_axial_symmetry: 540.0
	mean_cloud_turbulence: 501.0
	orbital_radius_error: 0.608276253029822
	surface_roughness_error: 1.01636607578175
	magnetosphere_extent_error: 1.69676162144245
	atmospheric_depth_error: 5.70526073023836
	tidal_distortion_error: 0.0748799038460921
	core_density_error: 0.20591260281974
	ring_system_complexity_error: 0.217738375120235
	impact_crater_count_error: 0.104403065089106
	axial_symmetry_error: 0.136271787248865
	cloud_turbulence_error: 0.0739324015570981
	max_orbital_radius: 2.91560622907471
	max_surface_roughness: 546.0
	max_magnetosphere_extent: 4.82911341747287
	max_atmospheric_depth: 6.85033800811219
	max_tidal_distortion: 531.0
	max_core_density: 0.603245460577909
	max_ring_system_complexity: 0.587337013978621
	max_impact_crater_count: 0.853825136612022
	max_axial_symmetry: 547.0
	max_cloud_turbulence: 559.0


Examples for Falsely predicted Fylaran when it should have been Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.73890266458497
	mean_surface_roughness: 512.0
	mean_magnetosphere_extent: 4.57275029473198
	mean_atmospheric_depth: 6.48829266123012
	mean_tidal_distortion: 177.0
	mean_core_density: 0.890471950133571
	mean_ring_system_complexity: 0.908347715505496
	mean_impact_crater_count: 0.962556550197324
	mean_axial_symmetry: 354.5
	mean_cloud_turbulence: 355.0
	orbital_radius_error: 0.504182506638221
	surface_roughness_error: 1.03874924789383
	magnetosphere_extent_error: 1.61709616287962
	atmospheric_depth_error: 4.80728613668877
	tidal_distortion_error: 0.0844866853415377
	core_density_error: 0.215708136146971
	ring_system_complexity_error: 0.195678307433399
	impact_crater_count_error: 0.107796103825695
	axial_symmetry_error: 0.14380542409798
	cloud_turbulence_error: 0.0781728853247723
	max_orbital_radius: 2.84607149899958
	max_surface_roughness: 478.0
	max_magnetosphere_extent: 4.74057482299429
	max_atmospheric_depth: 6.69691078325494
	max_tidal_distortion: 304.0
	max_core_density: 0.704126179411351
	max_ring_system_complexity: 0.712250712250712
	max_impact_crater_count: 0.892458723784025
	max_axial_symmetry: 429.5
	max_cloud_turbulence: 490.5


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.76945882923085
	mean_surface_roughness: 280.5
	mean_magnetosphere_extent: 4.59350238112041
	mean_atmospheric_depth: 6.53741597284935
	mean_tidal_distortion: 79.0
	mean_core_density: 0.895495656846064
	mean_ring_system_complexity: 0.917010545621275
	mean_impact_crater_count: 0.965605144744211
	mean_axial_symmetry: 254.0
	mean_cloud_turbulence: 396.0
	orbital_radius_error: 0.649615270756469
	surface_roughness_error: 1.38166566143912
	magnetosphere_extent_error: 1.80859061149836
	atmospheric_depth_error: 6.27933117457584
	tidal_distortion_error: 0.0760920495189872
	core_density_error: 0.220839308095275
	ring_system_complexity_error: 0.230282435283284
	impact_crater_count_error: 0.123571841452655
	axial_symmetry_error: 0.183193886360872
	cloud_turbulence_error: 0.0967884290605029
	max_orbital_radius: 2.84781214347737
	max_surface_roughness: 289.5
	max_magnetosphere_extent: 4.68305672464516
	max_atmospheric_depth: 6.69789807199366
	max_tidal_distortion: 39.0
	max_core_density: 0.798658254133056
	max_ring_system_complexity: 0.8
	max_impact_crater_count: 0.922466675891333
	max_axial_symmetry: 305.0
	max_cloud_turbulence: 431.0


openai4110

Round ID: 117
Prompt used:
	Inference rules for classifying entities as Fylaran or Qtharri:
	
	1. If mean_ring_system_complexity ≥ 0.97 OR mean_impact_crater_count ≥ 0.97, predict Qtharri.
	2. If BOTH mean_ring_system_complexity ≥ 0.945 AND mean_impact_crater_count ≥ 0.945, predict Qtharri UNLESS mean_core_density ≥ 0.94 AND max_ring_system_complexity < 0.9 AND max_impact_crater_count < 0.9, in which case predict Fylaran.
	3. Otherwise, predict Fylaran.
	
	Apply these rules strictly and use only the provided feature values.

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    25                    7
Actual Qtharri                     7                   27

Accuracy: 0.788
Precision: 0.781
Recall: 0.781
F1 Score: 0.781

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.97705900828837
	mean_surface_roughness: 515.0
	mean_magnetosphere_extent: 4.83469334426634
	mean_atmospheric_depth: 6.99301512293296
	mean_tidal_distortion: 440.0
	mean_core_density: 0.84125515268781
	mean_ring_system_complexity: 0.811754200827989
	mean_impact_crater_count: 0.889363215937389
	mean_axial_symmetry: 522.0
	mean_cloud_turbulence: 300.0
	orbital_radius_error: 0.911427451857799
	surface_roughness_error: 1.21078486941322
	magnetosphere_extent_error: 2.36093201935168
	atmospheric_depth_error: 10.2469507659596
	tidal_distortion_error: 0.079044291381478
	core_density_error: 0.183684512139701
	ring_system_complexity_error: 0.227947362344906
	impact_crater_count_error: 0.107610408418517
	axial_symmetry_error: 0.141668627437411
	cloud_turbulence_error: 0.0675277720645365
	max_orbital_radius: 3.18428438009858
	max_surface_roughness: 517.5
	max_magnetosphere_extent: 5.08450514266271
	max_atmospheric_depth: 7.42117752859539
	max_tidal_distortion: 446.0
	max_core_density: 0.701409833765869
	max_ring_system_complexity: 0.619847517510692
	max_impact_crater_count: 0.844024307900067
	max_axial_symmetry: 492.0
	max_cloud_turbulence: 466.0


Examples for Falsely predicted Qtharri when it should have been Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.82435065679837
	mean_surface_roughness: 489.5
	mean_magnetosphere_extent: 4.65109911787649
	mean_atmospheric_depth: 6.66402629405882
	mean_tidal_distortion: 112.0
	mean_core_density: 0.90892564988184
	mean_ring_system_complexity: 0.909603594753406
	mean_impact_crater_count: 0.949090771041342
	mean_axial_symmetry: 333.5
	mean_cloud_turbulence: 23.0
	orbital_radius_error: 0.635059052372297
	surface_roughness_error: 1.03826778819339
	magnetosphere_extent_error: 1.70381923923872
	atmospheric_depth_error: 6.04814021001498
	tidal_distortion_error: 0.0988382517044894
	core_density_error: 0.176804977305505
	ring_system_complexity_error: 0.224744299149055
	impact_crater_count_error: 0.141138230115019
	axial_symmetry_error: 0.172655726809162
	cloud_turbulence_error: 0.0547905101272109
	max_orbital_radius: 2.88144312715186
	max_surface_roughness: 368.5
	max_magnetosphere_extent: 4.72738781871234
	max_atmospheric_depth: 6.77707695534002
	max_tidal_distortion: 118.0
	max_core_density: 0.838644750083865
	max_ring_system_complexity: 0.811556565492615
	max_impact_crater_count: 0.899361453368109
	max_axial_symmetry: 279.0
	max_cloud_turbulence: 31.0


Examples for Falsely predicted Fylaran when it should have been Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.48240351956988
	mean_surface_roughness: 191.0
	mean_magnetosphere_extent: 4.28675395416645
	mean_atmospheric_depth: 5.92023703781961
	mean_tidal_distortion: 187.0
	mean_core_density: 0.899847026005579
	mean_ring_system_complexity: 0.913600774733457
	mean_impact_crater_count: 0.965129858222424
	mean_axial_symmetry: 55.0
	mean_cloud_turbulence: 433.0
	orbital_radius_error: 0.507346035758633
	surface_roughness_error: 1.17303026388921
	magnetosphere_extent_error: 1.67511193655827
	atmospheric_depth_error: 4.26028168082816
	tidal_distortion_error: 0.0925472852113988
	core_density_error: 0.215360163447189
	ring_system_complexity_error: 0.253574446662119
	impact_crater_count_error: 0.132966161108757
	axial_symmetry_error: 0.123125951772971
	cloud_turbulence_error: 0.0705407683541936
	max_orbital_radius: 2.5922651681085
	max_surface_roughness: 345.0
	max_magnetosphere_extent: 4.51239678583574
	max_atmospheric_depth: 6.16835471390473
	max_tidal_distortion: 356.0
	max_core_density: 0.710126402499645
	max_ring_system_complexity: 0.676635766966642
	max_impact_crater_count: 0.865426222414539
	max_axial_symmetry: 160.0
	max_cloud_turbulence: 452.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.52172062291072
	mean_surface_roughness: 387.0
	mean_magnetosphere_extent: 4.31495156588431
	mean_atmospheric_depth: 5.99769509685862
	mean_tidal_distortion: 485.0
	mean_core_density: 0.914394396591138
	mean_ring_system_complexity: 0.956105209817288
	mean_impact_crater_count: 0.978157737716784
	mean_axial_symmetry: 328.5
	mean_cloud_turbulence: 492.5
	orbital_radius_error: 0.570175411605937
	surface_roughness_error: 1.47444904964532
	magnetosphere_extent_error: 1.44118007202431
	atmospheric_depth_error: 4.96185449202211
	tidal_distortion_error: 0.101833196944808
	core_density_error: 0.130613934938046
	ring_system_complexity_error: 0.160810447421802
	impact_crater_count_error: 0.0866371744691619
	axial_symmetry_error: 0.134759044223384
	cloud_turbulence_error: 0.0630555310817378
	max_orbital_radius: 2.64688376586472
	max_surface_roughness: 490.0
	max_magnetosphere_extent: 4.44886719159269
	max_atmospheric_depth: 6.26549130873676
	max_tidal_distortion: 495.0
	max_core_density: 0.856457690990065
	max_ring_system_complexity: 0.850701829008932
	max_impact_crater_count: 0.942267283537648
	max_axial_symmetry: 258.0
	max_cloud_turbulence: 395.0


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +248
Actual -133

Accuracy 0.864, Precision 0.960, Recall 0.750, F1 0.842