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: 3.0248055210397
	mean_surface_roughness: 240.0
	mean_magnetosphere_extent: 4.88052660874924
	mean_atmospheric_depth: 7.10249935577465
	mean_tidal_distortion: 492.5
	mean_core_density: 0.857191839533688
	mean_ring_system_complexity: 0.799488327470419
	mean_impact_crater_count: 0.886053517632465
	mean_axial_symmetry: 465.5
	mean_cloud_turbulence: 250.5
	orbital_radius_error: 0.858137518116997
	surface_roughness_error: 1.02371871136558
	magnetosphere_extent_error: 2.18906372680194
	atmospheric_depth_error: 9.85241087247177
	tidal_distortion_error: 0.0636945837571767
	core_density_error: 0.150897316079511
	ring_system_complexity_error: 0.200723690679501
	impact_crater_count_error: 0.114149025401008
	axial_symmetry_error: 0.129846062705035
	cloud_turbulence_error: 0.0576020832956587
	max_orbital_radius: 3.32251485962769
	max_surface_roughness: 330.0
	max_magnetosphere_extent: 5.16991565174351
	max_atmospheric_depth: 7.71110125184016
	max_tidal_distortion: 413.0
	max_core_density: 0.722230247002744
	max_ring_system_complexity: 0.594883997620464
	max_impact_crater_count: 0.816526496284805
	max_axial_symmetry: 517.0
	max_cloud_turbulence: 433.0


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: 2.90690105984738
	mean_surface_roughness: 185.0
	mean_magnetosphere_extent: 4.7361984483945
	mean_atmospheric_depth: 6.83432400089625
	mean_tidal_distortion: 369.5
	mean_core_density: 0.905715062041482
	mean_ring_system_complexity: 0.887626486774365
	mean_impact_crater_count: 0.922909379528024
	mean_axial_symmetry: 307.5
	mean_cloud_turbulence: 82.0
	orbital_radius_error: 0.556147462459373
	surface_roughness_error: 0.925634917232491
	magnetosphere_extent_error: 1.48087811787466
	atmospheric_depth_error: 5.79913786695919
	tidal_distortion_error: 0.0689710084020815
	core_density_error: 0.122596900450215
	ring_system_complexity_error: 0.152708873350569
	impact_crater_count_error: 0.112338773359869
	axial_symmetry_error: 0.118067777145164
	cloud_turbulence_error: 0.0486004115208915
	max_orbital_radius: 3.03735394824481
	max_surface_roughness: 272.5
	max_magnetosphere_extent: 4.88204405972327
	max_atmospheric_depth: 7.10906213568717
	max_tidal_distortion: 387.0
	max_core_density: 0.806126561870214
	max_ring_system_complexity: 0.747495888772612
	max_impact_crater_count: 0.843383655224762
	max_axial_symmetry: 413.0
	max_cloud_turbulence: 302.0


Examples for Falsely predicted Fylaran when it should have been Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Fylaran)
  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


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: 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: 2.69462718077007
	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: 2.47737838336721
	mean_surface_roughness: 15.0
	mean_magnetosphere_extent: 4.25049324471203
	mean_atmospheric_depth: 5.89907509781463
	mean_tidal_distortion: 134.0
	mean_core_density: 0.954918306738858
	mean_ring_system_complexity: 0.987790904421352
	mean_impact_crater_count: 0.986494885024021
	mean_axial_symmetry: 37.0
	mean_cloud_turbulence: 231.0
	orbital_radius_error: 0.418688428309166
	surface_roughness_error: 1.01341008481266
	magnetosphere_extent_error: 1.12561094522042
	atmospheric_depth_error: 3.33016516106934
	tidal_distortion_error: 0.0589745707911469
	core_density_error: 0.11049886877249
	ring_system_complexity_error: 0.103537432844358
	impact_crater_count_error: 0.096917490681507
	axial_symmetry_error: 0.171493440107778
	cloud_turbulence_error: 0.0585491246732178
	max_orbital_radius: 2.5152741864044
	max_surface_roughness: 6.0
	max_magnetosphere_extent: 4.29619637806869
	max_atmospheric_depth: 5.97431838827301
	max_tidal_distortion: 16.0
	max_core_density: 0.930180641080498
	max_ring_system_complexity: 0.971968430465379
	max_impact_crater_count: 0.969048588096207
	max_axial_symmetry: 31.0
	max_cloud_turbulence: 69.0


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: 2.84723226523555
	mean_surface_roughness: 280.5
	mean_magnetosphere_extent: 4.69866052907543
	mean_atmospheric_depth: 6.69220780428956
	mean_tidal_distortion: 443.0
	mean_core_density: 0.847314014573801
	mean_ring_system_complexity: 0.836960160696351
	mean_impact_crater_count: 0.916993727762902
	mean_axial_symmetry: 359.0
	mean_cloud_turbulence: 443.0
	orbital_radius_error: 0.536003731330296
	surface_roughness_error: 0.957757798193259
	magnetosphere_extent_error: 1.56971334962789
	atmospheric_depth_error: 5.3
	tidal_distortion_error: 0.0675499814951862
	core_density_error: 0.186574381949934
	ring_system_complexity_error: 0.196773982019981
	impact_crater_count_error: 0.109954536059228
	axial_symmetry_error: 0.117813411800185
	cloud_turbulence_error: 0.0638827050147378
	max_orbital_radius: 2.97297528643137
	max_surface_roughness: 272.5
	max_magnetosphere_extent: 4.8512487085848
	max_atmospheric_depth: 6.93925394604151
	max_tidal_distortion: 330.5
	max_core_density: 0.67999456004352
	max_ring_system_complexity: 0.665513110608279
	max_impact_crater_count: 0.85236958745312
	max_axial_symmetry: 262.0
	max_cloud_turbulence: 512.0


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: 2.8100049236252
	mean_surface_roughness: 314.0
	mean_magnetosphere_extent: 4.61512051684126
	mean_atmospheric_depth: 6.63279197893813
	mean_tidal_distortion: 48.0
	mean_core_density: 0.94682623844872
	mean_ring_system_complexity: 0.959610014490111
	mean_impact_crater_count: 0.972318103590771
	mean_axial_symmetry: 87.0
	mean_cloud_turbulence: 37.0
	orbital_radius_error: 0.479374592568275
	surface_roughness_error: 0.999399819891919
	magnetosphere_extent_error: 1.23854753643128
	atmospheric_depth_error: 4.70956473572665
	tidal_distortion_error: 0.053160135440008
	core_density_error: 0.095420123663722
	ring_system_complexity_error: 0.114498908291739
	impact_crater_count_error: 0.0719305220334178
	axial_symmetry_error: 0.100647901120689
	cloud_turbulence_error: 0.0366742416417845
	max_orbital_radius: 2.93969088267037
	max_surface_roughness: 473.0
	max_magnetosphere_extent: 4.76131886847802
	max_atmospheric_depth: 6.89730082107828
	max_tidal_distortion: 84.0
	max_core_density: 0.846955196070128
	max_ring_system_complexity: 0.815660685154976
	max_impact_crater_count: 0.921081718370054
	max_axial_symmetry: 220.0
	max_cloud_turbulence: 94.0


Examples for Falsely predicted Fylaran when it should have been Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.52011290552262
	mean_surface_roughness: 198.5
	mean_magnetosphere_extent: 4.31294447348644
	mean_atmospheric_depth: 5.98896141688986
	mean_tidal_distortion: 474.5
	mean_core_density: 0.913358785598159
	mean_ring_system_complexity: 0.980094285070224
	mean_impact_crater_count: 0.981730004614131
	mean_axial_symmetry: 165.0
	mean_cloud_turbulence: 410.0
	orbital_radius_error: 0.533197899470731
	surface_roughness_error: 1.38130373198656
	magnetosphere_extent_error: 1.39176147381654
	atmospheric_depth_error: 4.62385120867876
	tidal_distortion_error: 0.0816333265278342
	core_density_error: 0.131719398723195
	ring_system_complexity_error: 0.107610408418517
	impact_crater_count_error: 0.0975704873412037
	axial_symmetry_error: 0.151062900806254
	cloud_turbulence_error: 0.0593801313572141
	max_orbital_radius: 2.62321826558551
	max_surface_roughness: 342.0
	max_magnetosphere_extent: 4.42676096601405
	max_atmospheric_depth: 6.22257626807137
	max_tidal_distortion: 380.5
	max_core_density: 0.848032564450475
	max_ring_system_complexity: 0.928436142162142
	max_impact_crater_count: 0.939831958045901
	max_axial_symmetry: 179.0
	max_cloud_turbulence: 301.0


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


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +1616
Actual -034

Accuracy 0.758, Precision 1.000, Recall 0.500, F1 0.667