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: 2.90087199253003
	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: 2.59897910604785
	mean_surface_roughness: 120.0
	mean_magnetosphere_extent: 4.42568460401334
	mean_atmospheric_depth: 6.16981991563206
	mean_tidal_distortion: 559.0
	mean_core_density: 0.854700854700855
	mean_ring_system_complexity: 0.863707030575229
	mean_impact_crater_count: 0.925163522652629
	mean_axial_symmetry: 487.0
	mean_cloud_turbulence: 541.0
	orbital_radius_error: 0.57835974963685
	surface_roughness_error: 0.943504107039286
	magnetosphere_extent_error: 1.48895936814945
	atmospheric_depth_error: 5.21440312979348
	tidal_distortion_error: 0.0866602561731732
	core_density_error: 0.182893411581719
	ring_system_complexity_error: 0.191624633072056
	impact_crater_count_error: 0.106630202100531
	axial_symmetry_error: 0.147139389695622
	cloud_turbulence_error: 0.0712881476824865
	max_orbital_radius: 2.80154054418955
	max_surface_roughness: 232.0
	max_magnetosphere_extent: 4.64822967544854
	max_atmospheric_depth: 6.61015754174298
	max_tidal_distortion: 553.0
	max_core_density: 0.655780706931602
	max_ring_system_complexity: 0.651253663301856
	max_impact_crater_count: 0.851716208159441
	max_axial_symmetry: 536.0
	max_cloud_turbulence: 549.0


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: 2.41412646772695
	mean_surface_roughness: 211.5
	mean_magnetosphere_extent: 4.19147127295282
	mean_atmospheric_depth: 5.7497114065446
	mean_tidal_distortion: 434.5
	mean_core_density: 0.921641997382537
	mean_ring_system_complexity: 0.982627151953463
	mean_impact_crater_count: 0.981209831722514
	mean_axial_symmetry: 385.0
	mean_cloud_turbulence: 483.0
	orbital_radius_error: 0.496689037527506
	surface_roughness_error: 1.10317722964173
	magnetosphere_extent_error: 1.28101522239199
	atmospheric_depth_error: 3.87943294825416
	tidal_distortion_error: 0.0888763185556198
	core_density_error: 0.118321595661992
	ring_system_complexity_error: 0.092379651439048
	impact_crater_count_error: 0.0873155198117723
	axial_symmetry_error: 0.162388423232692
	cloud_turbulence_error: 0.0613269924258479
	max_orbital_radius: 2.49897390699944
	max_surface_roughness: 199.0
	max_magnetosphere_extent: 4.28963718538053
	max_atmospheric_depth: 5.93118361622305
	max_tidal_distortion: 372.5
	max_core_density: 0.874125874125874
	max_ring_system_complexity: 0.938332770333671
	max_impact_crater_count: 0.947193937958797
	max_axial_symmetry: 378.5
	max_cloud_turbulence: 388.0


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: 3.0568273729138
	mean_surface_roughness: 467.0
	mean_magnetosphere_extent: 4.89335213348152
	mean_atmospheric_depth: 7.14282740116162
	mean_tidal_distortion: 215.0
	mean_core_density: 0.883938831432865
	mean_ring_system_complexity: 0.872219799389446
	mean_impact_crater_count: 0.920107100466494
	mean_axial_symmetry: 491.0
	mean_cloud_turbulence: 93.5
	orbital_radius_error: 0.870402205879558
	surface_roughness_error: 1.22841361112615
	magnetosphere_extent_error: 2.13401030925345
	atmospheric_depth_error: 9.37389993545909
	tidal_distortion_error: 0.0775628777186613
	core_density_error: 0.186601178988773
	ring_system_complexity_error: 0.205718253929981
	impact_crater_count_error: 0.112649900133112
	axial_symmetry_error: 0.1630030674558
	cloud_turbulence_error: 0.0664153596692813
	max_orbital_radius: 3.22763733053677
	max_surface_roughness: 470.0
	max_magnetosphere_extent: 5.05688254526158
	max_atmospheric_depth: 7.46794233228585
	max_tidal_distortion: 158.5
	max_core_density: 0.738606987222099
	max_ring_system_complexity: 0.709320470988793
	max_impact_crater_count: 0.86408018664132
	max_axial_symmetry: 522.0
	max_cloud_turbulence: 347.5


Examples for Falsely predicted Qtharri when it should have been Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.89092715918786
	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: 2.64262239577975
	mean_surface_roughness: 308.0
	mean_magnetosphere_extent: 4.42616313016197
	mean_atmospheric_depth: 6.26947499986303
	mean_tidal_distortion: 70.0
	mean_core_density: 0.963493241094914
	mean_ring_system_complexity: 0.999308478532855
	mean_impact_crater_count: 0.995850291833928
	mean_axial_symmetry: 314.0
	mean_cloud_turbulence: 47.0
	orbital_radius_error: 0.635609943282828
	surface_roughness_error: 1.10181668166715
	magnetosphere_extent_error: 1.6109003693587
	atmospheric_depth_error: 5.74108003776293
	tidal_distortion_error: 0.0865505632563994
	core_density_error: 0.0926984358012583
	ring_system_complexity_error: 0.0263058928759318
	impact_crater_count_error: 0.06455230437405
	axial_symmetry_error: 0.147986485869487
	cloud_turbulence_error: 0.0546808924579693
	max_orbital_radius: 2.72326716690707
	max_surface_roughness: 181.5
	max_magnetosphere_extent: 4.51349339741619
	max_atmospheric_depth: 6.43791163693777
	max_tidal_distortion: 52.5
	max_core_density: 0.941699390720494
	max_ring_system_complexity: 0.99815839775614
	max_impact_crater_count: 0.989012075837446
	max_axial_symmetry: 117.0
	max_cloud_turbulence: 32.0


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: 2.77757626375082
	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 Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.57870052907436
	mean_surface_roughness: 224.5
	mean_magnetosphere_extent: 4.3667860852576
	mean_atmospheric_depth: 6.11390339430056
	mean_tidal_distortion: 417.0
	mean_core_density: 0.934081844251193
	mean_ring_system_complexity: 0.97570494682408
	mean_impact_crater_count: 0.971430236737549
	mean_axial_symmetry: 377.0
	mean_cloud_turbulence: 431.0
	orbital_radius_error: 0.605061980296234
	surface_roughness_error: 1.22922739962954
	magnetosphere_extent_error: 1.552417469626
	atmospheric_depth_error: 4.94368283772331
	tidal_distortion_error: 0.0737088868454815
	core_density_error: 0.108581766425123
	ring_system_complexity_error: 0.106348483769163
	impact_crater_count_error: 0.123247718031613
	axial_symmetry_error: 0.148996644257513
	cloud_turbulence_error: 0.0583780780773057
	max_orbital_radius: 2.62684014567667
	max_surface_roughness: 138.0
	max_magnetosphere_extent: 4.42052593382449
	max_atmospheric_depth: 6.2069790712577
	max_tidal_distortion: 125.5
	max_core_density: 0.914427842498948
	max_ring_system_complexity: 0.952562392836731
	max_impact_crater_count: 0.944447592603086
	max_axial_symmetry: 48.5
	max_cloud_turbulence: 174.0


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +266
Actual -331

Accuracy 0.864, Precision 0.897, Recall 0.812, F1 0.852