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: 3.00419635196612
	mean_surface_roughness: 507.0
	mean_magnetosphere_extent: 4.89335213348152
	mean_atmospheric_depth: 7.02464903045364
	mean_tidal_distortion: 305.0
	mean_core_density: 0.802697062128753
	mean_ring_system_complexity: 0.828843762950684
	mean_impact_crater_count: 0.899442345745638
	mean_axial_symmetry: 550.5
	mean_cloud_turbulence: 551.0
	orbital_radius_error: 0.977496803063826
	surface_roughness_error: 1.88891503249882
	magnetosphere_extent_error: 3.32716095192283
	atmospheric_depth_error: 10.7796103825695
	tidal_distortion_error: 0.0560267793113258
	core_density_error: 0.288045135352083
	ring_system_complexity_error: 0.298161030317512
	impact_crater_count_error: 0.202237484161567
	axial_symmetry_error: 0.211754574921063
	cloud_turbulence_error: 0.113313723793722
	max_orbital_radius: 3.08922261664133
	max_surface_roughness: 430.0
	max_magnetosphere_extent: 5.02847521222459
	max_atmospheric_depth: 7.19518732017871
	max_tidal_distortion: 61.5
	max_core_density: 0.719269222469971
	max_ring_system_complexity: 0.733191582960628
	max_impact_crater_count: 0.849834282314949
	max_axial_symmetry: 426.0
	max_cloud_turbulence: 490.5


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: 2.59076704048748
	mean_surface_roughness: 535.0
	mean_magnetosphere_extent: 4.40854684448328
	mean_atmospheric_depth: 6.17044720263642
	mean_tidal_distortion: 400.0
	mean_core_density: 0.880824451686779
	mean_ring_system_complexity: 0.9021199819576
	mean_impact_crater_count: 0.956370383121976
	mean_axial_symmetry: 413.0
	mean_cloud_turbulence: 488.0
	orbital_radius_error: 0.63663176169588
	surface_roughness_error: 1.34499070628759
	magnetosphere_extent_error: 1.62542302186231
	atmospheric_depth_error: 5.86856030044848
	tidal_distortion_error: 0.0953834367172834
	core_density_error: 0.196086715511276
	ring_system_complexity_error: 0.193984535466104
	impact_crater_count_error: 0.114934764105557
	axial_symmetry_error: 0.137040140105007
	cloud_turbulence_error: 0.0753126815350509
	max_orbital_radius: 2.81241021642645
	max_surface_roughness: 558.0
	max_magnetosphere_extent: 4.63181211693451
	max_atmospheric_depth: 6.646260636284
	max_tidal_distortion: 550.0
	max_core_density: 0.67999456004352
	max_ring_system_complexity: 0.693240901213172
	max_impact_crater_count: 0.872676498821887
	max_axial_symmetry: 442.0
	max_cloud_turbulence: 544.0


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: 2.72261035243354
	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


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: 2.82435065679837
	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 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 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: 2.63547950826737
	mean_surface_roughness: 135.5
	mean_magnetosphere_extent: 4.43248207816237
	mean_atmospheric_depth: 6.24358420665871
	mean_tidal_distortion: 360.5
	mean_core_density: 0.926414867105787
	mean_ring_system_complexity: 0.942018746173049
	mean_impact_crater_count: 0.967398664989842
	mean_axial_symmetry: 239.0
	mean_cloud_turbulence: 390.0
	orbital_radius_error: 0.457602447545902
	surface_roughness_error: 0.873842090998139
	magnetosphere_extent_error: 1.10950439386241
	atmospheric_depth_error: 4.20356991139674
	tidal_distortion_error: 0.093407708461347
	core_density_error: 0.141527382509534
	ring_system_complexity_error: 0.152807067899361
	impact_crater_count_error: 0.106395488626163
	axial_symmetry_error: 0.162018517460196
	cloud_turbulence_error: 0.0687459089691888
	max_orbital_radius: 2.69056488676119
	max_surface_roughness: 111.0
	max_magnetosphere_extent: 4.49769632768286
	max_atmospheric_depth: 6.37400215057244
	max_tidal_distortion: 443.5
	max_core_density: 0.828637719588996
	max_ring_system_complexity: 0.816926721673066
	max_impact_crater_count: 0.904486251808973
	max_axial_symmetry: 482.0
	max_cloud_turbulence: 454.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.68375750853317
	mean_surface_roughness: 112.0
	mean_magnetosphere_extent: 4.48164569970259
	mean_atmospheric_depth: 6.35662835844262
	mean_tidal_distortion: 258.0
	mean_core_density: 0.937822376441902
	mean_ring_system_complexity: 0.955064228069338
	mean_impact_crater_count: 0.964031967300036
	mean_axial_symmetry: 222.5
	mean_cloud_turbulence: 99.0
	orbital_radius_error: 0.56938563381947
	surface_roughness_error: 0.813142054010245
	magnetosphere_extent_error: 1.41279864099595
	atmospheric_depth_error: 5.21440312979348
	tidal_distortion_error: 0.0804363102087608
	core_density_error: 0.111713920350152
	ring_system_complexity_error: 0.134536240470737
	impact_crater_count_error: 0.105023806824929
	axial_symmetry_error: 0.137767920794356
	cloud_turbulence_error: 0.0423556371690947
	max_orbital_radius: 2.76316950032329
	max_surface_roughness: 80.0
	max_magnetosphere_extent: 4.55503411649429
	max_atmospheric_depth: 6.52854254201804
	max_tidal_distortion: 243.5
	max_core_density: 0.885661146045523
	max_ring_system_complexity: 0.867077083152692
	max_impact_crater_count: 0.915566460969402
	max_axial_symmetry: 155.5
	max_cloud_turbulence: 50.0


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: 2.90087199253003
	mean_surface_roughness: 441.0
	mean_magnetosphere_extent: 4.72384171570559
	mean_atmospheric_depth: 6.83443161456329
	mean_tidal_distortion: 304.0
	mean_core_density: 0.917473278590761
	mean_ring_system_complexity: 0.916918055033422
	mean_impact_crater_count: 0.93872914847879
	mean_axial_symmetry: 349.0
	mean_cloud_turbulence: 69.5
	orbital_radius_error: 0.648305483549229
	surface_roughness_error: 0.859243853629457
	magnetosphere_extent_error: 1.67898779030701
	atmospheric_depth_error: 6.7394361781977
	tidal_distortion_error: 0.0670298440994756
	core_density_error: 0.109818031306339
	ring_system_complexity_error: 0.143108350559987
	impact_crater_count_error: 0.099373034571759
	axial_symmetry_error: 0.106957935656967
	cloud_turbulence_error: 0.0396862696659689
	max_orbital_radius: 3.11706455872152
	max_surface_roughness: 420.0
	max_magnetosphere_extent: 4.95229971708329
	max_atmospheric_depth: 7.27031288607902
	max_tidal_distortion: 496.0
	max_core_density: 0.795734861144267
	max_ring_system_complexity: 0.71999424004608
	max_impact_crater_count: 0.834445927903872
	max_axial_symmetry: 443.5
	max_cloud_turbulence: 199.0


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 +239
Actual -133

Accuracy 0.848, Precision 0.958, Recall 0.719, F1 0.821