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: 2.8100049236252
	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 Qtharri when it should have been Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.62249231274056
	mean_surface_roughness: 457.0
	mean_magnetosphere_extent: 4.41546141076012
	mean_atmospheric_depth: 6.22910254457264
	mean_tidal_distortion: 207.0
	mean_core_density: 0.94552812473407
	mean_ring_system_complexity: 0.955009502344548
	mean_impact_crater_count: 0.973671911512697
	mean_axial_symmetry: 112.0
	mean_cloud_turbulence: 240.0
	orbital_radius_error: 0.486518242206806
	surface_roughness_error: 1.17473401244707
	magnetosphere_extent_error: 1.20706255016051
	atmospheric_depth_error: 4.45757781760453
	tidal_distortion_error: 0.086596766683289
	core_density_error: 0.109635760589326
	ring_system_complexity_error: 0.152708873350569
	impact_crater_count_error: 0.0944457516249408
	axial_symmetry_error: 0.128335497817245
	cloud_turbulence_error: 0.0512737749731771
	max_orbital_radius: 2.74019465442878
	max_surface_roughness: 507.0
	max_magnetosphere_extent: 4.53302950821041
	max_atmospheric_depth: 6.48402436206708
	max_tidal_distortion: 393.0
	max_core_density: 0.867829558274755
	max_ring_system_complexity: 0.821220333415455
	max_impact_crater_count: 0.914653666389222
	max_axial_symmetry: 291.5
	max_cloud_turbulence: 297.0


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: 2.72261035243354
	mean_surface_roughness: 545.0
	mean_magnetosphere_extent: 4.5384960527201
	mean_atmospheric_depth: 6.43759163693504
	mean_tidal_distortion: 89.0
	mean_core_density: 0.905879155720627
	mean_ring_system_complexity: 0.900657479960371
	mean_impact_crater_count: 0.957781012949199
	mean_axial_symmetry: 11.0
	mean_cloud_turbulence: 273.5
	orbital_radius_error: 0.57913728942281
	surface_roughness_error: 1.52446712001276
	magnetosphere_extent_error: 1.45086181285469
	atmospheric_depth_error: 5.4735728733616
	tidal_distortion_error: 0.0794166229450737
	core_density_error: 0.16867127793433
	ring_system_complexity_error: 0.196214168703486
	impact_crater_count_error: 0.100548495761995
	axial_symmetry_error: 0.108857705285386
	cloud_turbulence_error: 0.0599082632030006
	max_orbital_radius: 2.81839825827108
	max_surface_roughness: 560.0
	max_magnetosphere_extent: 4.63957161270542
	max_atmospheric_depth: 6.63987583382654
	max_tidal_distortion: 83.0
	max_core_density: 0.804764204088202
	max_ring_system_complexity: 0.765462339252909
	max_impact_crater_count: 0.924052153503544
	max_axial_symmetry: 11.0
	max_cloud_turbulence: 250.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.36799823154228
	mean_surface_roughness: 32.0
	mean_magnetosphere_extent: 4.17623172169429
	mean_atmospheric_depth: 5.61130162186204
	mean_tidal_distortion: 556.0
	mean_core_density: 0.819403474270731
	mean_ring_system_complexity: 0.893814801573114
	mean_impact_crater_count: 0.934247650367159
	mean_axial_symmetry: 475.0
	mean_cloud_turbulence: 568.0
	orbital_radius_error: 0.523832034148352
	surface_roughness_error: 1.17898261225516
	magnetosphere_extent_error: 1.33678719323608
	atmospheric_depth_error: 4.20356991139674
	tidal_distortion_error: 0.147546602807384
	core_density_error: 0.221088217686968
	ring_system_complexity_error: 0.227793766376519
	impact_crater_count_error: 0.120415945787923
	axial_symmetry_error: 0.162234398325386
	cloud_turbulence_error: 0.107144761887831
	max_orbital_radius: 2.45100509811232
	max_surface_roughness: 63.0
	max_magnetosphere_extent: 4.25518708733893
	max_atmospheric_depth: 5.79636165594929
	max_tidal_distortion: 566.0
	max_core_density: 0.731903681475518
	max_ring_system_complexity: 0.774413381863238
	max_impact_crater_count: 0.90293453724605
	max_axial_symmetry: 301.0
	max_cloud_turbulence: 560.0


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: 2.7434173449395
	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 Qtharri when it should have been Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Qtharri)
  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 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: 2.64119789411437
	mean_surface_roughness: 260.0
	mean_magnetosphere_extent: 4.42616313016197
	mean_atmospheric_depth: 6.26301723762988
	mean_tidal_distortion: 196.5
	mean_core_density: 0.963706801842607
	mean_ring_system_complexity: 0.975019987909752
	mean_impact_crater_count: 0.971600128251217
	mean_axial_symmetry: 45.0
	mean_cloud_turbulence: 161.0
	orbital_radius_error: 0.428835632847831
	surface_roughness_error: 1.5303594349041
	magnetosphere_extent_error: 1.0816653826392
	atmospheric_depth_error: 3.76297754444536
	tidal_distortion_error: 0.0659696900098826
	core_density_error: 0.0699928567783885
	ring_system_complexity_error: 0.115887876846545
	impact_crater_count_error: 0.107888831674089
	axial_symmetry_error: 0.163431943022164
	cloud_turbulence_error: 0.042154477816716
	max_orbital_radius: 2.66025953726586
	max_surface_roughness: 197.0
	max_magnetosphere_extent: 4.44804843021588
	max_atmospheric_depth: 6.30426597035273
	max_tidal_distortion: 31.0
	max_core_density: 0.955849319913209
	max_ring_system_complexity: 0.953898104604466
	max_impact_crater_count: 0.952263053145801
	max_axial_symmetry: 18.0
	max_cloud_turbulence: 25.0


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: 2.90690105984738
	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 Qtharri when it should have been Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.83732253680635
	mean_surface_roughness: 326.5
	mean_magnetosphere_extent: 4.65491227788291
	mean_atmospheric_depth: 6.7077177163824
	mean_tidal_distortion: 226.0
	mean_core_density: 0.922305024717775
	mean_ring_system_complexity: 0.911004017527717
	mean_impact_crater_count: 0.937752020855605
	mean_axial_symmetry: 290.0
	mean_cloud_turbulence: 28.5
	orbital_radius_error: 0.864522989862039
	surface_roughness_error: 1.00796825346833
	magnetosphere_extent_error: 2.24254319913798
	atmospheric_depth_error: 8.90224690738243
	tidal_distortion_error: 0.104019228991567
	core_density_error: 0.14842506526864
	ring_system_complexity_error: 0.187082869338697
	impact_crater_count_error: 0.134499070628759
	axial_symmetry_error: 0.124498995979887
	cloud_turbulence_error: 0.0441361529814278
	max_orbital_radius: 3.03350963788802
	max_surface_roughness: 253.0
	max_magnetosphere_extent: 4.86599480426999
	max_atmospheric_depth: 7.10987946307227
	max_tidal_distortion: 454.5
	max_core_density: 0.8302200083022
	max_ring_system_complexity: 0.779483981604178
	max_impact_crater_count: 0.868055555555556
	max_axial_symmetry: 204.0
	max_cloud_turbulence: 38.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.36724860631977
	mean_surface_roughness: 238.0
	mean_magnetosphere_extent: 4.12810165902023
	mean_atmospheric_depth: 5.66052696598524
	mean_tidal_distortion: 98.0
	mean_core_density: 0.948514626095534
	mean_ring_system_complexity: 0.98542555602637
	mean_impact_crater_count: 0.994264090462124
	mean_axial_symmetry: 192.0
	mean_cloud_turbulence: 373.5
	orbital_radius_error: 0.584465567848098
	surface_roughness_error: 1.14542568506211
	magnetosphere_extent_error: 1.50831031289984
	atmospheric_depth_error: 4.58039299623951
	tidal_distortion_error: 0.104785495179438
	core_density_error: 0.112116011345392
	ring_system_complexity_error: 0.101538170162752
	impact_crater_count_error: 0.0627216071222669
	axial_symmetry_error: 0.164103625797848
	cloud_turbulence_error: 0.0545802161959808
	max_orbital_radius: 2.49732916978656
	max_surface_roughness: 256.0
	max_magnetosphere_extent: 4.27819273092867
	max_atmospheric_depth: 5.94332417178005
	max_tidal_distortion: 351.0
	max_core_density: 0.888494002665482
	max_ring_system_complexity: 0.939770132225658
	max_impact_crater_count: 0.975609756097561
	max_axial_symmetry: 380.0
	max_cloud_turbulence: 267.0


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +266
Actual -331

Accuracy 0.864, Precision 0.897, Recall 0.812, F1 0.852