Ensemble

Dataset: wisconsin

Models

Model Narratives

anthropic

Round ID: 59
Prompt used:
	Classify a planet as Fylaran if it meets the following criteria:
	
	1. Orbital and Magnetic Characteristics:
	- Mean orbital radius between 2.7 and 3.2
	- Magnetosphere extent greater than 4.5
	- Magnetosphere extent error less than 2.0
	
	2. Surface and Structural Parameters:
	- Surface roughness between 300 and 550
	- Tidal distortion greater than 350
	- Axial symmetry between 250 and 600
	
	3. Complexity Metrics:
	- Ring system complexity between 0.7 and 0.95
	- Impact crater count between 0.84 and 0.94
	
	If a planet does not meet at least 4 out of these 6 conditions, classify it as Qtharri.
	
	Additional guidance:
	- Use precise numerical comparisons
	- Consider both mean values and error margins
	- Look for consistent patterns across multiple parameters

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    26                    6
Actual Qtharri                     5                   29

Accuracy: 0.833
Precision: 0.839
Recall: 0.812
F1 Score: 0.825

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  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 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 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: 2.53686638871871
	mean_surface_roughness: 256.0
	mean_magnetosphere_extent: 4.3329676843847
	mean_atmospheric_depth: 6.02465751446375
	mean_tidal_distortion: 510.5
	mean_core_density: 0.907688118362531
	mean_ring_system_complexity: 0.933968431867003
	mean_impact_crater_count: 0.966323621780934
	mean_axial_symmetry: 295.5
	mean_cloud_turbulence: 401.0
	orbital_radius_error: 0.553172667437573
	surface_roughness_error: 1.28724512040248
	magnetosphere_extent_error: 1.46799182559032
	atmospheric_depth_error: 4.54092501589709
	tidal_distortion_error: 0.0924121204171834
	core_density_error: 0.151986841535707
	ring_system_complexity_error: 0.171610023017305
	impact_crater_count_error: 0.11823705003086
	axial_symmetry_error: 0.125099960031968
	cloud_turbulence_error: 0.0619677335393187
	max_orbital_radius: 2.64900766046843
	max_surface_roughness: 419.0
	max_magnetosphere_extent: 4.46026001419228
	max_atmospheric_depth: 6.25900768571888
	max_tidal_distortion: 534.0
	max_core_density: 0.789889415481833
	max_ring_system_complexity: 0.776819700147596
	max_impact_crater_count: 0.89142449634516
	max_axial_symmetry: 276.5
	max_cloud_turbulence: 416.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.63116915676625
	mean_surface_roughness: 31.0
	mean_magnetosphere_extent: 4.41751442760344
	mean_atmospheric_depth: 6.24784943220199
	mean_tidal_distortion: 10.0
	mean_core_density: 0.964050554811094
	mean_ring_system_complexity: 0.977899471934285
	mean_impact_crater_count: 0.988425536962173
	mean_axial_symmetry: 9.0
	mean_cloud_turbulence: 71.5
	orbital_radius_error: 0.391407715815619
	surface_roughness_error: 0.684835746730557
	magnetosphere_extent_error: 1.05593560409714
	atmospheric_depth_error: 3.56089876295297
	tidal_distortion_error: 0.0687822651560706
	core_density_error: 0.115974135047432
	ring_system_complexity_error: 0.128530152104477
	impact_crater_count_error: 0.0768439978137525
	axial_symmetry_error: 0.12723993083934
	cloud_turbulence_error: 0.0456179789118282
	max_orbital_radius: 2.68239045432163
	max_surface_roughness: 9.0
	max_magnetosphere_extent: 4.4818719696436
	max_atmospheric_depth: 6.35957386867238
	max_tidal_distortion: 30.0
	max_core_density: 0.897102359379205
	max_ring_system_complexity: 0.893974611121044
	max_impact_crater_count: 0.949072755917469
	max_axial_symmetry: 75.0
	max_cloud_turbulence: 103.5


openai10o1

Round ID: 302
Prompt used:
	Classification Rules for Cosmic Entities (Further Extended):
	
	IMPORTANT: Apply these rules in the listed order. Once a rule matches, use its classification and stop.
	
	1. High Confidence Qtharri Identification Rules (Apply first):
	   - If mean_ring_system_complexity >= 0.99 AND mean_impact_crater_count >= 0.99, classify as Qtharri immediately.
	   - If mean_ring_system_complexity > 0.96 AND mean_impact_crater_count > 0.975, classify as Qtharri regardless of other factors.
	   - If mean_impact_crater_count > 0.98 AND mean_cloud_turbulence < 350, classify as Qtharri regardless of other factors.
	   - If mean_axial_symmetry < 50 AND mean_cloud_turbulence < 50 AND mean_orbital_radius > 2.6, classify as Qtharri.
	   - If mean_tidal_distortion < 120 AND mean_impact_crater_count > 0.96 AND mean_cloud_turbulence < 180, classify as Qtharri.
	   - If orbital_radius_error < 0.45 AND atmospheric_depth_error < 4.0 AND mean_impact_crater_count > 0.96, classify as Qtharri.
	
	2. High Confidence Fylaran Identification Rules (Apply second):
	   - If mean_cloud_turbulence > 500 AND mean_orbital_radius > 2.5, classify as Fylaran.
	   - If mean_cloud_turbulence > 450 AND mean_orbital_radius > 2.65 AND mean_tidal_distortion > 400, classify as Fylaran.
	   - If mean_tidal_distortion > 530 AND mean_orbital_radius > 2.6, classify as Fylaran.
	   - If orbital_radius_error > 0.85 AND atmospheric_depth_error > 9.0, classify as Fylaran.
	   - If atmospheric_depth_error > 10.0, classify as Fylaran.
	
	3. Primary Orbital Classification:
	   - If mean_orbital_radius > 2.95, classify as Fylaran.
	   - If mean_orbital_radius < 2.4, classify as Qtharri.
	
	4. Surface and Atmosphere Rules:
	   - If mean_atmospheric_depth > 6.85, classify as Fylaran.
	   - If max_orbital_radius > 3.05, classify as Fylaran.
	   - If mean_atmospheric_depth < 5.9, classify as Qtharri.
	
	5. Combined Feature Rules for Boundary Cases (when mean_orbital_radius is between 2.4 and 2.95):
	   - If mean_orbital_radius is between 2.4 and 2.7 AND mean_cloud_turbulence > 350 AND mean_impact_crater_count < 0.96, classify as Fylaran.
	   - If mean_orbital_radius is between 2.4 and 2.7 AND mean_axial_symmetry > 500, classify as Fylaran.
	   - If mean_orbital_radius is between 2.4 and 2.7 AND mean_tidal_distortion > 500, classify as Fylaran.
	   - If mean_orbital_radius is between 2.6 and 2.8 AND mean_atmospheric_depth < 6.35 AND mean_cloud_turbulence < 250 AND mean_tidal_distortion < 300 AND mean_impact_crater_count > 0.96, classify as Qtharri.
	   - If mean_orbital_radius is between 2.7 and 2.85 AND mean_atmospheric_depth > 6.5 AND max_orbital_radius < 2.85 AND mean_cloud_turbulence < 150 AND mean_tidal_distortion < 300, classify as Qtharri.
	   - If mean_orbital_radius is between 2.6 and 2.8 AND mean_ring_system_complexity < 0.8, classify as Fylaran.
	   - If mean_orbital_radius is between 2.8 and 2.9 AND mean_impact_crater_count > 0.97 AND mean_cloud_turbulence < 100, classify as Qtharri.
	   - If mean_orbital_radius is between 2.8 and 2.95 AND mean_cloud_turbulence < 80 AND mean_axial_symmetry < 150, classify as Qtharri,
	     EXCEPT if (mean_atmospheric_depth > 6.6 AND mean_tidal_distortion < 300 AND mean_ring_system_complexity > 0.93), in which case classify as Fylaran.
	
	6. Fylaran-leaning Boundary Rules:
	   - If mean_orbital_radius is between 2.65 and 2.75 AND mean_atmospheric_depth is between 6.3 and 6.5 AND mean_cloud_turbulence > 250, classify as Fylaran.
	   - If mean_orbital_radius is between 2.75 and 2.87 AND mean_atmospheric_depth is between 6.5 and 6.75 AND mean_cloud_turbulence > 180 AND mean_tidal_distortion > 350, classify as Fylaran.
	   - If mean_orbital_radius is between 2.65 and 2.8 AND mean_atmospheric_depth > 6.25 AND mean_tidal_distortion > 250 AND mean_cloud_turbulence > 175, classify as Fylaran.
	   - If mean_orbital_radius is between 2.7 and 2.85 AND mean_atmospheric_depth > 6.45 AND mean_tidal_distortion > 350, classify as Fylaran.
	   - If mean_orbital_radius is between 2.5 and 2.7 AND mean_cloud_turbulence > 400 AND mean_tidal_distortion > 300, classify as Fylaran.
	   - If mean_orbital_radius is between 2.6 and 2.85 AND mean_cloud_turbulence > 300 AND mean_axial_symmetry > 450, classify as Fylaran.
	
	7. Error Measurement and Feature Combination Rules:
	   - If orbital_radius_error > 0.65 AND atmospheric_depth_error > 5.5 AND mean_orbital_radius > 2.7 AND mean_tidal_distortion > 300, classify as Fylaran.
	   - If orbital_radius_error > 0.65 AND atmospheric_depth_error > 6.0 AND mean_orbital_radius > 2.65, classify as Fylaran.
	   - If orbital_radius_error < 0.48 AND core_density_error < 0.12 AND mean_impact_crater_count > 0.96 AND mean_cloud_turbulence < 150, classify as Qtharri.
	   - If max_orbital_radius > 2.9 AND mean_atmospheric_depth > 6.7 AND orbital_radius_error > 0.6, classify as Fylaran.
	
	8. Specific Rules for Edge Cases:
	   - If mean_orbital_radius is between 2.55 and 2.7 AND mean_atmospheric_depth is between 6.0 and 6.35 AND mean_cloud_turbulence > 400 AND mean_axial_symmetry > 350, classify as Fylaran.
	   - If mean_orbital_radius is between 2.7 and 2.8 AND mean_atmospheric_depth > 6.35 AND mean_tidal_distortion > 300, classify as Fylaran.
	   - If mean_orbital_radius is between 2.65 and 2.75 AND mean_tidal_distortion > 400 AND mean_impact_crater_count < 0.96, classify as Fylaran.
	   - If mean_orbital_radius is between 2.8 and 2.95 AND mean_atmospheric_depth > 6.6 AND mean_cloud_turbulence > 150, classify as Fylaran.
	   - If mean_orbital_radius is between 2.75 and 2.95 AND mean_atmospheric_depth > 6.5 AND mean_tidal_distortion > 250 AND mean_axial_symmetry > 200, classify as Fylaran.
	
	9. Additional Specific Overriding Rules for High Ring Complexity and Crater Count:
	   - If mean_orbital_radius < 2.65 AND mean_ring_system_complexity > 0.93 AND mean_impact_crater_count > 0.96 AND mean_tidal_distortion < 400 AND mean_cloud_turbulence > 350,
	     classify as Qtharri. (This corrects certain false positives at lower orbital radii.)
	   - If mean_orbital_radius is between 2.75 and 2.8 AND mean_atmospheric_depth > 6.55 AND mean_ring_system_complexity > 0.93 AND mean_impact_crater_count > 0.96 AND mean_cloud_turbulence < 250,
	     classify as Fylaran. (This corrects certain false negatives in that orbital range.)
	
	10. Tie-Breaking Rules (if none of the above apply):
	   - If mean_cloud_turbulence > 350 AND mean_orbital_radius > 2.5, classify as Fylaran.
	   - If mean_axial_symmetry > 500 AND mean_orbital_radius > 2.6, classify as Fylaran.
	   - If mean_tidal_distortion > 500 AND mean_orbital_radius > 2.65, classify as Fylaran.
	   - If mean_orbital_radius > 2.7 AND mean_tidal_distortion > 320 AND mean_cloud_turbulence > 250, classify as Fylaran.
	   - If mean_orbital_radius > 2.75 AND mean_atmospheric_depth > 6.4 AND mean_cloud_turbulence > 175, classify as Fylaran.
	   - If mean_orbital_radius > 2.8 AND mean_atmospheric_depth > 6.6, classify as Fylaran.
	   - If mean_orbital_radius < 2.7 AND mean_impact_crater_count > 0.965, classify as Qtharri.
	   - Otherwise, classify as Qtharri.
	
	Use these updated rules carefully, as they are designed to reduce both false positives and false negatives by:
	• Retaining the definitive Qtharri conditions first.
	• Refining boundary-level Fylaran rules to address missed cases.
	• Adding additional specific overrides for high ring-system complexity and impact crater count in borderline orbital ranges.
	• Maintaining distinct high-confidence Fylaran rules for large orbital radius, deeper atmosphere, and atmospheric errors.
	• Using tie-breakers only if none of the specialized rules match.
	

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    26                    6
Actual Qtharri                     9                   25

Accuracy: 0.773
Precision: 0.743
Recall: 0.812
F1 Score: 0.776

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.69462718077007
	mean_surface_roughness: 125.5
	mean_magnetosphere_extent: 4.51557365217633
	mean_atmospheric_depth: 6.37178277279419
	mean_tidal_distortion: 366.0
	mean_core_density: 0.886524822695035
	mean_ring_system_complexity: 0.927738451975619
	mean_impact_crater_count: 0.951755513043809
	mean_axial_symmetry: 177.0
	mean_cloud_turbulence: 411.0
	orbital_radius_error: 0.52792044855262
	surface_roughness_error: 0.787718223732319
	magnetosphere_extent_error: 1.39892816112908
	atmospheric_depth_error: 4.83218377133983
	tidal_distortion_error: 0.0686804193347711
	core_density_error: 0.143701078631999
	ring_system_complexity_error: 0.132627297341083
	impact_crater_count_error: 0.0959479025304879
	axial_symmetry_error: 0.110453610171873
	cloud_turbulence_error: 0.0559464029227975
	max_orbital_radius: 2.86619290219901
	max_surface_roughness: 136.0
	max_magnetosphere_extent: 4.7122292582815
	max_atmospheric_depth: 6.70122299347312
	max_tidal_distortion: 377.5
	max_core_density: 0.738443361394181
	max_ring_system_complexity: 0.782533844588778
	max_impact_crater_count: 0.878503030835456
	max_axial_symmetry: 180.0
	max_cloud_turbulence: 495.5


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: 2.90690105984738
	mean_surface_roughness: 185.0
	mean_magnetosphere_extent: 4.7361984483945
	mean_atmospheric_depth: 6.83432400089625
	mean_tidal_distortion: 369.5
	mean_core_density: 0.905715062041482
	mean_ring_system_complexity: 0.887626486774365
	mean_impact_crater_count: 0.922909379528024
	mean_axial_symmetry: 307.5
	mean_cloud_turbulence: 82.0
	orbital_radius_error: 0.556147462459373
	surface_roughness_error: 0.925634917232491
	magnetosphere_extent_error: 1.48087811787466
	atmospheric_depth_error: 5.79913786695919
	tidal_distortion_error: 0.0689710084020815
	core_density_error: 0.122596900450215
	ring_system_complexity_error: 0.152708873350569
	impact_crater_count_error: 0.112338773359869
	axial_symmetry_error: 0.118067777145164
	cloud_turbulence_error: 0.0486004115208915
	max_orbital_radius: 3.03735394824481
	max_surface_roughness: 272.5
	max_magnetosphere_extent: 4.88204405972327
	max_atmospheric_depth: 7.10906213568717
	max_tidal_distortion: 387.0
	max_core_density: 0.806126561870214
	max_ring_system_complexity: 0.747495888772612
	max_impact_crater_count: 0.843383655224762
	max_axial_symmetry: 413.0
	max_cloud_turbulence: 302.0


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: 2.53686638871871
	mean_surface_roughness: 256.0
	mean_magnetosphere_extent: 4.3329676843847
	mean_atmospheric_depth: 6.02465751446375
	mean_tidal_distortion: 510.5
	mean_core_density: 0.907688118362531
	mean_ring_system_complexity: 0.933968431867003
	mean_impact_crater_count: 0.966323621780934
	mean_axial_symmetry: 295.5
	mean_cloud_turbulence: 401.0
	orbital_radius_error: 0.553172667437573
	surface_roughness_error: 1.28724512040248
	magnetosphere_extent_error: 1.46799182559032
	atmospheric_depth_error: 4.54092501589709
	tidal_distortion_error: 0.0924121204171834
	core_density_error: 0.151986841535707
	ring_system_complexity_error: 0.171610023017305
	impact_crater_count_error: 0.11823705003086
	axial_symmetry_error: 0.125099960031968
	cloud_turbulence_error: 0.0619677335393187
	max_orbital_radius: 2.64900766046843
	max_surface_roughness: 419.0
	max_magnetosphere_extent: 4.46026001419228
	max_atmospheric_depth: 6.25900768571888
	max_tidal_distortion: 534.0
	max_core_density: 0.789889415481833
	max_ring_system_complexity: 0.776819700147596
	max_impact_crater_count: 0.89142449634516
	max_axial_symmetry: 276.5
	max_cloud_turbulence: 416.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.47737838336721
	mean_surface_roughness: 15.0
	mean_magnetosphere_extent: 4.25049324471203
	mean_atmospheric_depth: 5.89907509781463
	mean_tidal_distortion: 134.0
	mean_core_density: 0.954918306738858
	mean_ring_system_complexity: 0.987790904421352
	mean_impact_crater_count: 0.986494885024021
	mean_axial_symmetry: 37.0
	mean_cloud_turbulence: 231.0
	orbital_radius_error: 0.418688428309166
	surface_roughness_error: 1.01341008481266
	magnetosphere_extent_error: 1.12561094522042
	atmospheric_depth_error: 3.33016516106934
	tidal_distortion_error: 0.0589745707911469
	core_density_error: 0.11049886877249
	ring_system_complexity_error: 0.103537432844358
	impact_crater_count_error: 0.096917490681507
	axial_symmetry_error: 0.171493440107778
	cloud_turbulence_error: 0.0585491246732178
	max_orbital_radius: 2.5152741864044
	max_surface_roughness: 6.0
	max_magnetosphere_extent: 4.29619637806869
	max_atmospheric_depth: 5.97431838827301
	max_tidal_distortion: 16.0
	max_core_density: 0.930180641080498
	max_ring_system_complexity: 0.971968430465379
	max_impact_crater_count: 0.969048588096207
	max_axial_symmetry: 31.0
	max_cloud_turbulence: 69.0


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: 2.84723226523555
	mean_surface_roughness: 280.5
	mean_magnetosphere_extent: 4.69866052907543
	mean_atmospheric_depth: 6.69220780428956
	mean_tidal_distortion: 443.0
	mean_core_density: 0.847314014573801
	mean_ring_system_complexity: 0.836960160696351
	mean_impact_crater_count: 0.916993727762902
	mean_axial_symmetry: 359.0
	mean_cloud_turbulence: 443.0
	orbital_radius_error: 0.536003731330296
	surface_roughness_error: 0.957757798193259
	magnetosphere_extent_error: 1.56971334962789
	atmospheric_depth_error: 5.3
	tidal_distortion_error: 0.0675499814951862
	core_density_error: 0.186574381949934
	ring_system_complexity_error: 0.196773982019981
	impact_crater_count_error: 0.109954536059228
	axial_symmetry_error: 0.117813411800185
	cloud_turbulence_error: 0.0638827050147378
	max_orbital_radius: 2.97297528643137
	max_surface_roughness: 272.5
	max_magnetosphere_extent: 4.8512487085848
	max_atmospheric_depth: 6.93925394604151
	max_tidal_distortion: 330.5
	max_core_density: 0.67999456004352
	max_ring_system_complexity: 0.665513110608279
	max_impact_crater_count: 0.85236958745312
	max_axial_symmetry: 262.0
	max_cloud_turbulence: 512.0


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: 2.69462718077007
	mean_surface_roughness: 125.5
	mean_magnetosphere_extent: 4.51557365217633
	mean_atmospheric_depth: 6.37178277279419
	mean_tidal_distortion: 366.0
	mean_core_density: 0.886524822695035
	mean_ring_system_complexity: 0.927738451975619
	mean_impact_crater_count: 0.951755513043809
	mean_axial_symmetry: 177.0
	mean_cloud_turbulence: 411.0
	orbital_radius_error: 0.52792044855262
	surface_roughness_error: 0.787718223732319
	magnetosphere_extent_error: 1.39892816112908
	atmospheric_depth_error: 4.83218377133983
	tidal_distortion_error: 0.0686804193347711
	core_density_error: 0.143701078631999
	ring_system_complexity_error: 0.132627297341083
	impact_crater_count_error: 0.0959479025304879
	axial_symmetry_error: 0.110453610171873
	cloud_turbulence_error: 0.0559464029227975
	max_orbital_radius: 2.86619290219901
	max_surface_roughness: 136.0
	max_magnetosphere_extent: 4.7122292582815
	max_atmospheric_depth: 6.70122299347312
	max_tidal_distortion: 377.5
	max_core_density: 0.738443361394181
	max_ring_system_complexity: 0.782533844588778
	max_impact_crater_count: 0.878503030835456
	max_axial_symmetry: 180.0
	max_cloud_turbulence: 495.5


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.53449014997683
	mean_surface_roughness: 135.5
	mean_magnetosphere_extent: 4.33676772826827
	mean_atmospheric_depth: 6.01420403407747
	mean_tidal_distortion: 468.5
	mean_core_density: 0.89541547277937
	mean_ring_system_complexity: 0.933732971044941
	mean_impact_crater_count: 0.956965271730289
	mean_axial_symmetry: 368.0
	mean_cloud_turbulence: 345.0
	orbital_radius_error: 0.495580467734555
	surface_roughness_error: 0.856679636737094
	magnetosphere_extent_error: 1.29112354172635
	atmospheric_depth_error: 3.98622628559895
	tidal_distortion_error: 0.0767072356430604
	core_density_error: 0.141598022585063
	ring_system_complexity_error: 0.162203575792891
	impact_crater_count_error: 0.114192819388962
	axial_symmetry_error: 0.135941163743731
	cloud_turbulence_error: 0.0445196585791041
	max_orbital_radius: 2.61300665241532
	max_surface_roughness: 102.0
	max_magnetosphere_extent: 4.41799687846311
	max_atmospheric_depth: 6.16688736221078
	max_tidal_distortion: 384.5
	max_core_density: 0.821692686935086
	max_ring_system_complexity: 0.812875955129247
	max_impact_crater_count: 0.90049527239982
	max_axial_symmetry: 271.0
	max_cloud_turbulence: 185.0


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +266
Actual -331

Accuracy 0.864, Precision 0.897, Recall 0.812, F1 0.852