Ensemble

Dataset: wisconsin

Models

Model Narratives

openai

Round ID: 304
Prompt used:
	To classify an entity as Fylaran or Qtharri, use the following revised rules based on the mean attributes and a weighted scoring system for edge cases:
	
	1. If 'mean_orbital_radius' is greater than or equal to 3.0 and 'mean_surface_roughness' is greater than or equal to 300, classify as Fylaran unless 'mean_core_density' exceeds 0.92.
	2. If 'mean_orbital_radius' is less than 2.6, regardless of other features, classify as Qtharri.
	3. If 'mean_core_density' is greater than 0.91, classify as Qtharri.
	4. If 'mean_core_density' is less than or equal to 0.86 and 'mean_impact_crater_count' is less than 1.0, classify as Fylaran.
	5. If 'mean_orbital_radius' is between 2.6 and 3.0 inclusive, and 'mean_surface_roughness' exceeds 500, classify as Fylaran unless 'mean_core_density' is greater than 0.90 or 'mean_impact_crater_count' exceeds 0.96.
	6. If 'mean_surface_roughness' is less than 200 and 'mean_core_density' is between 0.85 and 0.91, classify as Qtharri.
	
	For edge cases where none of the above rules apply:
	- Calculate a weighted score as follows: (**5×mean_orbital_radius** + **3×mean_surface_roughness** - **4×mean_core_density**) divided by the sum of feature coefficients.
	  - If the score exceeds 2.5, classify as Fylaran.
	  - Otherwise, classify as Qtharri.
	- Additionally, prioritize core_density_errors exceeding 0.12 as Qtharri-indicating if paired with low 'mean_axial_symmetry' below 110.
	
	This approach incorporates additional weighted criteria and avoids strict binary thresholds for borderline cases to reduce misclassifications observed in edge scenarios and improve model interpretability.

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    19                   13
Actual Qtharri                     3                   31

Accuracy: 0.758
Precision: 0.864
Recall: 0.594
F1 Score: 0.704

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 3.02916704964023
	mean_surface_roughness: 422.5
	mean_magnetosphere_extent: 4.87443367291585
	mean_atmospheric_depth: 7.08590146436561
	mean_tidal_distortion: 318.0
	mean_core_density: 0.881911985183879
	mean_ring_system_complexity: 0.842957093483942
	mean_impact_crater_count: 0.900657479960371
	mean_axial_symmetry: 483.5
	mean_cloud_turbulence: 126.5
	orbital_radius_error: 0.789050061783155
	surface_roughness_error: 1.511290838985
	magnetosphere_extent_error: 2.27442300375282
	atmospheric_depth_error: 8.22556988907152
	tidal_distortion_error: 0.0689637585982667
	core_density_error: 0.183521115951271
	ring_system_complexity_error: 0.208446635856758
	impact_crater_count_error: 0.134387499418659
	axial_symmetry_error: 0.19380402472601
	cloud_turbulence_error: 0.0573410847473258
	max_orbital_radius: 3.16758253048065
	max_surface_roughness: 526.0
	max_magnetosphere_extent: 5.06638530920075
	max_atmospheric_depth: 7.34018683532012
	max_tidal_distortion: 184.0
	max_core_density: 0.743052459503641
	max_ring_system_complexity: 0.678702321161938
	max_impact_crater_count: 0.815993472052224
	max_axial_symmetry: 539.0
	max_cloud_turbulence: 271.5


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: 2.59897910604785
	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: 2.5922651681085
	mean_surface_roughness: 265.0
	mean_magnetosphere_extent: 4.38215162686203
	mean_atmospheric_depth: 6.14782706473184
	mean_tidal_distortion: 126.0
	mean_core_density: 0.936198099517858
	mean_ring_system_complexity: 0.974250557758444
	mean_impact_crater_count: 0.981152068759137
	mean_axial_symmetry: 130.0
	mean_cloud_turbulence: 241.0
	orbital_radius_error: 0.346265793863616
	surface_roughness_error: 0.945727233402951
	magnetosphere_extent_error: 0.921086315173556
	atmospheric_depth_error: 3.03759773505315
	tidal_distortion_error: 0.0587962583843564
	core_density_error: 0.102323017938292
	ring_system_complexity_error: 0.108027774206451
	impact_crater_count_error: 0.0745519952784632
	axial_symmetry_error: 0.111848111293843
	cloud_turbulence_error: 0.0368239052790439
	max_orbital_radius: 2.65955999194178
	max_surface_roughness: 365.0
	max_magnetosphere_extent: 4.46083781509817
	max_atmospheric_depth: 6.30096926407024
	max_tidal_distortion: 156.0
	max_core_density: 0.835910724734598
	max_ring_system_complexity: 0.837731423305688
	max_impact_crater_count: 0.922151933752605
	max_axial_symmetry: 351.5
	max_cloud_turbulence: 146.0


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: 3.0568273729138
	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: 2.69462718077007
	mean_surface_roughness: 125.5
	mean_magnetosphere_extent: 4.51557365217633
	mean_atmospheric_depth: 6.37178277279419
	mean_tidal_distortion: 366.0
	mean_core_density: 0.886524822695035
	mean_ring_system_complexity: 0.927738451975619
	mean_impact_crater_count: 0.951755513043809
	mean_axial_symmetry: 177.0
	mean_cloud_turbulence: 411.0
	orbital_radius_error: 0.52792044855262
	surface_roughness_error: 0.787718223732319
	magnetosphere_extent_error: 1.39892816112908
	atmospheric_depth_error: 4.83218377133983
	tidal_distortion_error: 0.0686804193347711
	core_density_error: 0.143701078631999
	ring_system_complexity_error: 0.132627297341083
	impact_crater_count_error: 0.0959479025304879
	axial_symmetry_error: 0.110453610171873
	cloud_turbulence_error: 0.0559464029227975
	max_orbital_radius: 2.86619290219901
	max_surface_roughness: 136.0
	max_magnetosphere_extent: 4.7122292582815
	max_atmospheric_depth: 6.70122299347312
	max_tidal_distortion: 377.5
	max_core_density: 0.738443361394181
	max_ring_system_complexity: 0.782533844588778
	max_impact_crater_count: 0.878503030835456
	max_axial_symmetry: 180.0
	max_cloud_turbulence: 495.5


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.41412646772695
	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


openai35

Round ID: 196
Prompt used:
	Add a new rule based on the mean_surface_roughness feature: If mean_surface_roughness is below a certain threshold, predict Fylaran; otherwise, predict Qtharri. This rule aims to improve the classification accuracy and reduce false positives and false negatives in the dataset based on the analysis of previous misclassifications.

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                     4                   28
Actual Qtharri                     2                   32

Accuracy: 0.545
Precision: 0.667
Recall: 0.125
F1 Score: 0.211

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 3.0174937653355
	mean_surface_roughness: 283.0
	mean_magnetosphere_extent: 4.8605872978526
	mean_atmospheric_depth: 7.06304816338817
	mean_tidal_distortion: 471.0
	mean_core_density: 0.873515024458421
	mean_ring_system_complexity: 0.815926892950392
	mean_impact_crater_count: 0.893335715561908
	mean_axial_symmetry: 317.0
	mean_cloud_turbulence: 267.0
	orbital_radius_error: 0.752263251794211
	surface_roughness_error: 1.18659175793531
	magnetosphere_extent_error: 1.90551830219497
	atmospheric_depth_error: 8.2304313374209
	tidal_distortion_error: 0.0727186358507914
	core_density_error: 0.168315180539368
	ring_system_complexity_error: 0.206300751331642
	impact_crater_count_error: 0.108443533693808
	axial_symmetry_error: 0.131034346642398
	cloud_turbulence_error: 0.0566656862660288
	max_orbital_radius: 3.21727454350123
	max_surface_roughness: 441.0
	max_magnetosphere_extent: 5.04277974742282
	max_atmospheric_depth: 7.46221493976819
	max_tidal_distortion: 464.0
	max_core_density: 0.728597449908925
	max_ring_system_complexity: 0.627510040160643
	max_impact_crater_count: 0.829187396351575
	max_axial_symmetry: 458.0
	max_cloud_turbulence: 407.0


Examples for Falsely predicted Qtharri when it should have been Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.83438912314523
	mean_surface_roughness: 476.0
	mean_magnetosphere_extent: 4.64150211523548
	mean_atmospheric_depth: 6.68311060154166
	mean_tidal_distortion: 87.0
	mean_core_density: 0.937479492636099
	mean_ring_system_complexity: 0.968063582416093
	mean_impact_crater_count: 0.967838719355806
	mean_axial_symmetry: 74.5
	mean_cloud_turbulence: 117.0
	orbital_radius_error: 0.616035713250458
	surface_roughness_error: 1.08949529599719
	magnetosphere_extent_error: 1.57035027939629
	atmospheric_depth_error: 6.36474665638783
	tidal_distortion_error: 0.0634744042902334
	core_density_error: 0.0962756459339536
	ring_system_complexity_error: 0.104928547116597
	impact_crater_count_error: 0.0871263450398328
	axial_symmetry_error: 0.120830459735946
	cloud_turbulence_error: 0.0551543289325507
	max_orbital_radius: 3.00518743232475
	max_surface_roughness: 516.0
	max_magnetosphere_extent: 4.82671245593533
	max_atmospheric_depth: 7.04838640872188
	max_tidal_distortion: 154.0
	max_core_density: 0.865725911176522
	max_ring_system_complexity: 0.872676498821887
	max_impact_crater_count: 0.909297567629007
	max_axial_symmetry: 336.0
	max_cloud_turbulence: 350.0


Examples for Falsely predicted Fylaran when it should have been Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.6217658325052
	mean_surface_roughness: 285.0
	mean_magnetosphere_extent: 4.41727311486095
	mean_atmospheric_depth: 6.20979654142497
	mean_tidal_distortion: 294.0
	mean_core_density: 0.926337631539944
	mean_ring_system_complexity: 0.973823621065753
	mean_impact_crater_count: 0.982501645690256
	mean_axial_symmetry: 257.0
	mean_cloud_turbulence: 294.5
	orbital_radius_error: 0.470425339453563
	surface_roughness_error: 1.13357840487546
	magnetosphere_extent_error: 1.23895116933639
	atmospheric_depth_error: 4.1545156155682
	tidal_distortion_error: 0.0748865809073962
	core_density_error: 0.128296531519757
	ring_system_complexity_error: 0.123652739557197
	impact_crater_count_error: 0.0999849988748312
	axial_symmetry_error: 0.138166566143912
	cloud_turbulence_error: 0.046184412955022
	max_orbital_radius: 2.69124308278583
	max_surface_roughness: 312.0
	max_magnetosphere_extent: 4.48661184986396
	max_atmospheric_depth: 6.364234272378
	max_tidal_distortion: 269.0
	max_core_density: 0.844665934622857
	max_ring_system_complexity: 0.888494002665482
	max_impact_crater_count: 0.923258734027624
	max_axial_symmetry: 250.5
	max_cloud_turbulence: 156.0


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: 268.5
	mean_magnetosphere_extent: 4.45539326066986
	mean_atmospheric_depth: 6.24027584517077
	mean_tidal_distortion: 464.0
	mean_core_density: 0.884642604387827
	mean_ring_system_complexity: 0.912383785115371
	mean_impact_crater_count: 0.946942795185743
	mean_axial_symmetry: 470.0
	mean_cloud_turbulence: 397.0
	orbital_radius_error: 0.557314991723711
	surface_roughness_error: 1.22882057274445
	magnetosphere_extent_error: 1.60934769394311
	atmospheric_depth_error: 4.64435140789325
	tidal_distortion_error: 0.088357229472183
	core_density_error: 0.198292712927127
	ring_system_complexity_error: 0.226097324177001
	impact_crater_count_error: 0.136967149346111
	axial_symmetry_error: 0.169115345252878
	cloud_turbulence_error: 0.0755976190101249
	max_orbital_radius: 2.72063731660768
	max_surface_roughness: 262.0
	max_magnetosphere_extent: 4.55619000376637
	max_atmospheric_depth: 6.38384441566749
	max_tidal_distortion: 309.5
	max_core_density: 0.790014220255965
	max_ring_system_complexity: 0.795355126063788
	max_impact_crater_count: 0.8882572392965
	max_axial_symmetry: 408.5
	max_cloud_turbulence: 341.0


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +1616
Actual -034

Accuracy 0.758, Precision 1.000, Recall 0.500, F1 0.667