Ensemble

Dataset: wisconsin

Models

Model Narratives

openai10

Round ID: 314
Prompt used:
	Using the following explicit rules, classify each entity as Fylaran or Qtharri:
	
	1. If mean_magnetosphere_extent is greater than 5.1, classify as Fylaran.
	2. If mean_magnetosphere_extent is less than 4.4, classify as Qtharri.
	3. If mean_magnetosphere_extent is between 4.4 and 4.7:
	   a. Classify as Fylaran if mean_cloud_turbulence exceeds 360 AND mean_tidal_distortion is greater than 400.
	   b. Default to Qtharri otherwise.
	4. If mean_magnetosphere_extent is between 4.7 and 4.9:
	   a. Classify as Fylaran if mean_core_density is greater than 0.89 AND mean_tidal_distortion is between 350 and 600.
	   b. Classify as Qtharri if mean_core_density is less than 0.85 AND mean_orbital_radius is less than 2.7.
	   c. For all other values in this range, classify as Fylaran if mean_cloud_turbulence exceeds 400 OR mean_surface_roughness exceeds 400 and axial_symmetry is above 350.
	5. If mean_magnetosphere_extent is between 4.95 and 5.1:
	   a. Classify as Fylaran if either mean_cloud_turbulence exceeds 450, OR mean_tidal_distortion is between 450 and 550, AND mean_orbital_radius exceeds 3.0.
	   b. For all other cases in this range, classify as Qtharri.
	6. If mean_orbital_radius is greater than 3.0 AND mean_surface_roughness is greater than 450 while mean_magnetosphere_extent is greater than 4.6, classify as Fylaran, irrespective of other conditions.
	7. If mean_tidal_distortion is less than 200 and mean_magnetosphere_extent is less than 4.8, classify as Qtharri unless mean_cloud_turbulence exceeds 320.
	8. If mean_cloud_turbulence is greater than 500 AND mean_tidal_distortion exceeds 400 with mean_core_density over 0.90, classify as Fylaran.
	9. For borderline cases (mean_magnetosphere_extent between 4.87 and 4.93):
	   a. Prioritize Qtharri if mean_cloud_turbulence is less than 300 and mean_axial_symmetry is below 100.
	   b. Otherwise, classify as Fylaran.
	10. For all remaining uncertainties:
	    a. Default to Qtharri if mean_core_density is below 0.85 OR mean_cloud_turbulence below 300.
	    b. Otherwise, default to Fylaran.
	
	These rules aim to reduce misclassification by modifying thresholds and incorporating additional conditions, especially involving mean_orbital_radius, mean_cloud_turbulence, and mean_core_density in specific ranges.

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    14                   18
Actual Qtharri                     1                   33

Accuracy: 0.712
Precision: 0.933
Recall: 0.438
F1 Score: 0.596

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.97603964020825
	mean_surface_roughness: 358.5
	mean_magnetosphere_extent: 4.81299703319041
	mean_atmospheric_depth: 6.9985096422506
	mean_tidal_distortion: 264.0
	mean_core_density: 0.903668895716609
	mean_ring_system_complexity: 0.870322019147084
	mean_impact_crater_count: 0.928237925945178
	mean_axial_symmetry: 205.5
	mean_cloud_turbulence: 119.0
	orbital_radius_error: 0.923525852372309
	surface_roughness_error: 1.3597793938724
	magnetosphere_extent_error: 2.37318351587061
	atmospheric_depth_error: 9.67160793250016
	tidal_distortion_error: 0.103682206766639
	core_density_error: 0.164984847789123
	ring_system_complexity_error: 0.225410736212808
	impact_crater_count_error: 0.13823892360692
	axial_symmetry_error: 0.151426549851735
	cloud_turbulence_error: 0.0649384323802169
	max_orbital_radius: 3.10503500844444
	max_surface_roughness: 359.0
	max_magnetosphere_extent: 4.94805041890463
	max_atmospheric_depth: 7.24708058458576
	max_tidal_distortion: 301.5
	max_core_density: 0.825286787158538
	max_ring_system_complexity: 0.743715603153354
	max_impact_crater_count: 0.870322019147084
	max_axial_symmetry: 82.0
	max_cloud_turbulence: 182.0


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: 2.77757626375082
	mean_surface_roughness: 527.0
	mean_magnetosphere_extent: 4.59511985013459
	mean_atmospheric_depth: 6.57591231074459
	mean_tidal_distortion: 385.0
	mean_core_density: 0.911004017527717
	mean_ring_system_complexity: 0.890075656430797
	mean_impact_crater_count: 0.938500089157508
	mean_axial_symmetry: 167.0
	mean_cloud_turbulence: 387.0
	orbital_radius_error: 0.808331615118449
	surface_roughness_error: 1.2271919165314
	magnetosphere_extent_error: 2.04303695512343
	atmospheric_depth_error: 7.96052762070455
	tidal_distortion_error: 0.102567051239665
	core_density_error: 0.155916644396934
	ring_system_complexity_error: 0.221630322835121
	impact_crater_count_error: 0.132136293273271
	axial_symmetry_error: 0.14560219778561
	cloud_turbulence_error: 0.0697638875063596
	max_orbital_radius: 2.97092715463502
	max_surface_roughness: 505.0
	max_magnetosphere_extent: 4.8056590467375
	max_atmospheric_depth: 6.95749737087695
	max_tidal_distortion: 528.0
	max_core_density: 0.809323405632891
	max_ring_system_complexity: 0.712809180982251
	max_impact_crater_count: 0.867603678639597
	max_axial_symmetry: 207.0
	max_cloud_turbulence: 446.0


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: 2.6447553507299
	mean_surface_roughness: 122.0
	mean_magnetosphere_extent: 4.46164617590205
	mean_atmospheric_depth: 6.25575004175337
	mean_tidal_distortion: 456.5
	mean_core_density: 0.887311446317657
	mean_ring_system_complexity: 0.956315507612271
	mean_impact_crater_count: 0.969838037047813
	mean_axial_symmetry: 435.5
	mean_cloud_turbulence: 462.0
	orbital_radius_error: 0.430348695827
	surface_roughness_error: 0.864696478540303
	magnetosphere_extent_error: 1.17601020403736
	atmospheric_depth_error: 3.83014360044111
	tidal_distortion_error: 0.064007812023221
	core_density_error: 0.137767920794356
	ring_system_complexity_error: 0.130307329034095
	impact_crater_count_error: 0.0805605362444913
	axial_symmetry_error: 0.12953763931769
	cloud_turbulence_error: 0.0492442890089805
	max_orbital_radius: 2.7408400239252
	max_surface_roughness: 124.0
	max_magnetosphere_extent: 4.57563838338205
	max_atmospheric_depth: 6.44809794179055
	max_tidal_distortion: 281.5
	max_core_density: 0.782717595491547
	max_ring_system_complexity: 0.841042893187553
	max_impact_crater_count: 0.932114128053839
	max_axial_symmetry: 428.0
	max_cloud_turbulence: 319.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.65112705370259
	mean_surface_roughness: 248.0
	mean_magnetosphere_extent: 4.44593996041753
	mean_atmospheric_depth: 6.28841602556691
	mean_tidal_distortion: 27.0
	mean_core_density: 0.943449629224296
	mean_ring_system_complexity: 0.953661583650426
	mean_impact_crater_count: 0.972100709633518
	mean_axial_symmetry: 39.5
	mean_cloud_turbulence: 63.5
	orbital_radius_error: 0.44977772288098
	surface_roughness_error: 0.827647267862342
	magnetosphere_extent_error: 1.11175536877498
	atmospheric_depth_error: 4.1097445176069
	tidal_distortion_error: 0.0772593036468748
	core_density_error: 0.122188379152847
	ring_system_complexity_error: 0.125059985606908
	impact_crater_count_error: 0.0919945650568554
	axial_symmetry_error: 0.104546640309481
	cloud_turbulence_error: 0.0408900966005217
	max_orbital_radius: 2.76631910922619
	max_surface_roughness: 235.0
	max_magnetosphere_extent: 4.56538931597625
	max_atmospheric_depth: 6.53466055090442
	max_tidal_distortion: 249.5
	max_core_density: 0.835770998746344
	max_ring_system_complexity: 0.842034355001684
	max_impact_crater_count: 0.905387052965143
	max_axial_symmetry: 51.0
	max_cloud_turbulence: 107.0


openai

Round ID: 324
Prompt used:
	To classify an entity as either 'Fylaran' or 'Qtharri,' follow these revised rules. These rules are arranged hierarchically, and conflicts are resolved by strict prioritization. Entities with critical features falling near thresholds will now trigger additional checks.
	
	1. **Primary Orbital and Magnetosphere Rule**:
	   - If mean_orbital_radius > 2.85, classify as Fylaran.
	   - If mean_orbital_radius <= 2.85 and mean_orbital_radius > 2.65 AND mean_magnetosphere_extent > 4.4 and magnetosphere_extent_error < 1.5, classify as Fylaran.
	   - Else, classify as Qtharri.
	
	2. **Surface Roughness Rule**:
	   - If mean_surface_roughness > 460 OR max_surface_roughness > 500, classify as Fylaran IF all of the following conditions hold:
	     - mean_orbital_radius > 2.65
	     - mean_tidal_distortion > 250
	     - mean_cloud_turbulence > 200.
	   - Otherwise, classify as Qtharri.
	
	3. **Magnetosphere-Climate Interaction Rule**:
	   - If mean_magnetosphere_extent > 4.7 AND mean_cloud_turbulence > 450, classify as Fylaran unless mean_tidal_distortion < 200 or max_cloud_turbulence < 400.
	   - Revert to Qtharri if magnetosphere_extent_error > 1.8, regardless of the above.
	
	4. **Core Density and Ring Complexity Rule**:
	   - If mean_core_density > 0.87 AND mean_ring_system_complexity > 0.9, classify as Fylaran IF surface roughness conditions from Rule 2 are also satisfied.
	   - Entities meeting only core_density > 0.87 but failing other criteria must default to Qtharri.
	
	5. **Axial Symmetry and Cloud Override Rule**:
	   - If mean_axial_symmetry > 500 AND mean_cloud_turbulence > 300, classify as Fylaran regardless of other rules.
	   - If mean_axial_symmetry > 500 and mean_cloud_turbulence < 200, override all previous rules and classify as Qtharri.
	
	6. **Atmospheric Depth and Tidal Distortion Rule (Edge Cases)**:
	   - For entities with mean_atmospheric_depth < 6.0:
	     - If max_tidal_distortion > 300 AND mean_core_density > 0.82, classify as Fylaran provided mean_surface_roughness > 220.
	     - Otherwise, classify as Qtharri.
	
	7. **Low-Radius Exception Rule**:
	   - If mean_orbital_radius < 2.5 and magnetosphere_extent_error > 1.2, override all rules and classify as Qtharri.
	
	8. **Final Conflict Resolution Rule**:
	   - If unable to classify definitively after applying all rules, document the entity’s values and default to Qtharri.
	
	### Special Notes:
	- Entities that fit multiple criteria for Fylaran must satisfy the strictest thresholds to override Qtharri classification.
	- Edge cases related to atmospheric depth and magnetosphere extent should be flagged for review in subsequent analyses if thresholds are narrowly exceeded or met.

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    23                    9
Actual Qtharri                     0                   34

Accuracy: 0.864
Precision: 1.000
Recall: 0.719
F1 Score: 0.836

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.89092715918786
	mean_surface_roughness: 360.5
	mean_magnetosphere_extent: 4.70682383971459
	mean_atmospheric_depth: 6.80826638048139
	mean_tidal_distortion: 167.5
	mean_core_density: 0.931931708044434
	mean_ring_system_complexity: 0.935016362786349
	mean_impact_crater_count: 0.948856627763545
	mean_axial_symmetry: 464.0
	mean_cloud_turbulence: 10.0
	orbital_radius_error: 0.765375724726098
	surface_roughness_error: 0.924878370381749
	magnetosphere_extent_error: 2.02632672587616
	atmospheric_depth_error: 8.27405583737504
	tidal_distortion_error: 0.0709788700952615
	core_density_error: 0.122596900450215
	ring_system_complexity_error: 0.139499103939774
	impact_crater_count_error: 0.105971694333912
	axial_symmetry_error: 0.151459565561241
	cloud_turbulence_error: 0.0508035431835221
	max_orbital_radius: 3.03495298670727
	max_surface_roughness: 269.5
	max_magnetosphere_extent: 4.87519732320115
	max_atmospheric_depth: 7.09920174355309
	max_tidal_distortion: 105.0
	max_core_density: 0.870625108828139
	max_ring_system_complexity: 0.838082467314784
	max_impact_crater_count: 0.901225666906994
	max_axial_symmetry: 463.0
	max_cloud_turbulence: 45.5


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: 2.83438912314523
	mean_surface_roughness: 476.0
	mean_magnetosphere_extent: 4.64150211523548
	mean_atmospheric_depth: 6.68311060154166
	mean_tidal_distortion: 87.0
	mean_core_density: 0.937479492636099
	mean_ring_system_complexity: 0.968063582416093
	mean_impact_crater_count: 0.967838719355806
	mean_axial_symmetry: 74.5
	mean_cloud_turbulence: 117.0
	orbital_radius_error: 0.616035713250458
	surface_roughness_error: 1.08949529599719
	magnetosphere_extent_error: 1.57035027939629
	atmospheric_depth_error: 6.36474665638783
	tidal_distortion_error: 0.0634744042902334
	core_density_error: 0.0962756459339536
	ring_system_complexity_error: 0.104928547116597
	impact_crater_count_error: 0.0871263450398328
	axial_symmetry_error: 0.120830459735946
	cloud_turbulence_error: 0.0551543289325507
	max_orbital_radius: 3.00518743232475
	max_surface_roughness: 516.0
	max_magnetosphere_extent: 4.82671245593533
	max_atmospheric_depth: 7.04838640872188
	max_tidal_distortion: 154.0
	max_core_density: 0.865725911176522
	max_ring_system_complexity: 0.872676498821887
	max_impact_crater_count: 0.909297567629007
	max_axial_symmetry: 336.0
	max_cloud_turbulence: 350.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.69799986524871
	mean_surface_roughness: 98.5
	mean_magnetosphere_extent: 4.49969855304586
	mean_atmospheric_depth: 6.37740698872728
	mean_tidal_distortion: 279.0
	mean_core_density: 0.928608572914345
	mean_ring_system_complexity: 0.95713014098527
	mean_impact_crater_count: 0.964217874670961
	mean_axial_symmetry: 496.0
	mean_cloud_turbulence: 157.0
	orbital_radius_error: 0.497895571380184
	surface_roughness_error: 0.958905626221893
	magnetosphere_extent_error: 1.35277492584687
	atmospheric_depth_error: 4.40567815438214
	tidal_distortion_error: 0.0650768776140958
	core_density_error: 0.124137021069462
	ring_system_complexity_error: 0.120706255016051
	impact_crater_count_error: 0.102127371453494
	axial_symmetry_error: 0.1236122971229
	cloud_turbulence_error: 0.0399124040869502
	max_orbital_radius: 2.77133794033813
	max_surface_roughness: 161.5
	max_magnetosphere_extent: 4.59885025724327
	max_atmospheric_depth: 6.50876913697168
	max_tidal_distortion: 157.0
	max_core_density: 0.85295121119072
	max_ring_system_complexity: 0.872905027932961
	max_impact_crater_count: 0.909148764012255
	max_axial_symmetry: 338.5
	max_cloud_turbulence: 102.0


random

Round ID: 212
Prompt used:
	Choose randomly

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    13                   19
Actual Qtharri                    21                   13

Accuracy: 0.394
Precision: 0.382
Recall: 0.406
F1 Score: 0.394

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: 2.7434173449395
	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: 2.48240351956988
	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: 2.64262239577975
	mean_surface_roughness: 268.5
	mean_magnetosphere_extent: 4.45539326066986
	mean_atmospheric_depth: 6.24027584517077
	mean_tidal_distortion: 464.0
	mean_core_density: 0.884642604387827
	mean_ring_system_complexity: 0.912383785115371
	mean_impact_crater_count: 0.946942795185743
	mean_axial_symmetry: 470.0
	mean_cloud_turbulence: 397.0
	orbital_radius_error: 0.557314991723711
	surface_roughness_error: 1.22882057274445
	magnetosphere_extent_error: 1.60934769394311
	atmospheric_depth_error: 4.64435140789325
	tidal_distortion_error: 0.088357229472183
	core_density_error: 0.198292712927127
	ring_system_complexity_error: 0.226097324177001
	impact_crater_count_error: 0.136967149346111
	axial_symmetry_error: 0.169115345252878
	cloud_turbulence_error: 0.0755976190101249
	max_orbital_radius: 2.72063731660768
	max_surface_roughness: 262.0
	max_magnetosphere_extent: 4.55619000376637
	max_atmospheric_depth: 6.38384441566749
	max_tidal_distortion: 309.5
	max_core_density: 0.790014220255965
	max_ring_system_complexity: 0.795355126063788
	max_impact_crater_count: 0.8882572392965
	max_axial_symmetry: 408.5
	max_cloud_turbulence: 341.0


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +1913
Actual -133

Accuracy 0.788, Precision 0.950, Recall 0.594, F1 0.731