Ensemble

Dataset: wisconsin

Models

Model Narratives

openai10

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

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

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

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


Examples for Falsely predicted Qtharri when it should have been Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.83732253680635
	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: 2.6447553507299
	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: 2.52172062291072
	mean_surface_roughness: 387.0
	mean_magnetosphere_extent: 4.31495156588431
	mean_atmospheric_depth: 5.99769509685862
	mean_tidal_distortion: 485.0
	mean_core_density: 0.914394396591138
	mean_ring_system_complexity: 0.956105209817288
	mean_impact_crater_count: 0.978157737716784
	mean_axial_symmetry: 328.5
	mean_cloud_turbulence: 492.5
	orbital_radius_error: 0.570175411605937
	surface_roughness_error: 1.47444904964532
	magnetosphere_extent_error: 1.44118007202431
	atmospheric_depth_error: 4.96185449202211
	tidal_distortion_error: 0.101833196944808
	core_density_error: 0.130613934938046
	ring_system_complexity_error: 0.160810447421802
	impact_crater_count_error: 0.0866371744691619
	axial_symmetry_error: 0.134759044223384
	cloud_turbulence_error: 0.0630555310817378
	max_orbital_radius: 2.64688376586472
	max_surface_roughness: 490.0
	max_magnetosphere_extent: 4.44886719159269
	max_atmospheric_depth: 6.26549130873676
	max_tidal_distortion: 495.0
	max_core_density: 0.856457690990065
	max_ring_system_complexity: 0.850701829008932
	max_impact_crater_count: 0.942267283537648
	max_axial_symmetry: 258.0
	max_cloud_turbulence: 395.0


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: 3.10772077550204
	mean_surface_roughness: 94.0
	mean_magnetosphere_extent: 4.95793750509581
	mean_atmospheric_depth: 7.23489842031483
	mean_tidal_distortion: 354.5
	mean_core_density: 0.868432479374729
	mean_ring_system_complexity: 0.838082467314784
	mean_impact_crater_count: 0.888494002665482
	mean_axial_symmetry: 439.0
	mean_cloud_turbulence: 294.5
	orbital_radius_error: 0.584294446319662
	surface_roughness_error: 1.14411537879709
	magnetosphere_extent_error: 1.55145093380358
	atmospheric_depth_error: 6.2497999967999
	tidal_distortion_error: 0.0665281895139196
	core_density_error: 0.163554272337961
	ring_system_complexity_error: 0.185391477689779
	impact_crater_count_error: 0.115887876846545
	axial_symmetry_error: 0.129421791055448
	cloud_turbulence_error: 0.0660832807902271
	max_orbital_radius: 3.16505301817069
	max_surface_roughness: 167.0
	max_magnetosphere_extent: 5.03109130266364
	max_atmospheric_depth: 7.33693691370762
	max_tidal_distortion: 160.0
	max_core_density: 0.778816199376947
	max_ring_system_complexity: 0.713063320022818
	max_impact_crater_count: 0.835701153267591
	max_axial_symmetry: 241.0
	max_cloud_turbulence: 376.0


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: 2.6447553507299
	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


openai10

Round ID: 329
Prompt used:
	The task is to classify entities as either 'Fylaran' or 'Qtharri' based on their features. Apply the following rules:
	
	1. Classify as 'Fylaran' if the mean_orbital_radius is > 2.6 and the mean_core_density is < 0.92.
	2. Classify as 'Qtharri' if the mean_orbital_radius is <= 2.6 or the mean_core_density is >= 0.92.
	
	Use these rules consistently to make predictions. If any features are missing, label them as 'unknown' and do not classify.

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    24                    8
Actual Qtharri                     4                   30

Accuracy: 0.818
Precision: 0.857
Recall: 0.750
F1 Score: 0.800

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 3.00071981506503
	mean_surface_roughness: 529.0
	mean_magnetosphere_extent: 4.86830338551846
	mean_atmospheric_depth: 7.03262426102801
	mean_tidal_distortion: 545.0
	mean_core_density: 0.848104486472733
	mean_ring_system_complexity: 0.837731423305688
	mean_impact_crater_count: 0.871915598570058
	mean_axial_symmetry: 155.5
	mean_cloud_turbulence: 512.0
	orbital_radius_error: 0.720416546173115
	surface_roughness_error: 1.7058722109232
	magnetosphere_extent_error: 2.40852652051
	atmospheric_depth_error: 8.19145896650896
	tidal_distortion_error: 0.0868619594529159
	core_density_error: 0.245967477524977
	ring_system_complexity_error: 0.146082168658601
	impact_crater_count_error: 0.135757136092362
	axial_symmetry_error: 0.174814187067297
	cloud_turbulence_error: 0.101931349446576
	max_orbital_radius: 3.06011453248326
	max_surface_roughness: 495.0
	max_magnetosphere_extent: 4.95793750509581
	max_atmospheric_depth: 7.1693500166706
	max_tidal_distortion: 357.0
	max_core_density: 0.78021377857533
	max_ring_system_complexity: 0.804375804375804
	max_impact_crater_count: 0.844523266615995
	max_axial_symmetry: 76.0
	max_cloud_turbulence: 425.0


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: 3.06712226964066
	mean_surface_roughness: 407.5
	mean_magnetosphere_extent: 4.8941014778403
	mean_atmospheric_depth: 7.17548971362422
	mean_tidal_distortion: 103.0
	mean_core_density: 0.922951969579503
	mean_ring_system_complexity: 0.917077823224079
	mean_impact_crater_count: 0.943200467827432
	mean_axial_symmetry: 45.0
	mean_cloud_turbulence: 8.0
	orbital_radius_error: 0.829095893126965
	surface_roughness_error: 1.02029407525478
	magnetosphere_extent_error: 2.26803880037357
	atmospheric_depth_error: 9.13783344124853
	tidal_distortion_error: 0.0892132277187638
	core_density_error: 0.177002824836216
	ring_system_complexity_error: 0.206324986368593
	impact_crater_count_error: 0.129267165204471
	axial_symmetry_error: 0.115801554393713
	cloud_turbulence_error: 0.0627136348811006
	max_orbital_radius: 3.22763733053677
	max_surface_roughness: 319.0
	max_magnetosphere_extent: 5.09190801422499
	max_atmospheric_depth: 7.46794233228585
	max_tidal_distortion: 199.5
	max_core_density: 0.812281699293315
	max_ring_system_complexity: 0.75999392004864
	max_impact_crater_count: 0.873743993010048
	max_axial_symmetry: 52.0
	max_cloud_turbulence: 141.5


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: 2.78439376768954
	mean_surface_roughness: 35.0
	mean_magnetosphere_extent: 4.59157823246862
	mean_atmospheric_depth: 6.5692008761566
	mean_tidal_distortion: 57.0
	mean_core_density: 0.935156264611817
	mean_ring_system_complexity: 0.967183465031482
	mean_impact_crater_count: 0.974117692899656
	mean_axial_symmetry: 230.5
	mean_cloud_turbulence: 61.5
	orbital_radius_error: 0.422255846614348
	surface_roughness_error: 0.642261628933256
	magnetosphere_extent_error: 1.1567194992737
	atmospheric_depth_error: 4.20951303596984
	tidal_distortion_error: 0.0707954800817114
	core_density_error: 0.121860576069539
	ring_system_complexity_error: 0.124539150470846
	impact_crater_count_error: 0.0956817641977822
	axial_symmetry_error: 0.128335497817245
	cloud_turbulence_error: 0.0420356991139674
	max_orbital_radius: 2.84490938381941
	max_surface_roughness: 14.0
	max_magnetosphere_extent: 4.65871095291612
	max_atmospheric_depth: 6.70942628404237
	max_tidal_distortion: 115.5
	max_core_density: 0.852006475249212
	max_ring_system_complexity: 0.880126738250308
	max_impact_crater_count: 0.924402373865296
	max_axial_symmetry: 139.0
	max_cloud_turbulence: 79.0


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +239
Actual -034

Accuracy 0.864, Precision 1.000, Recall 0.719, F1 0.836