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: 3.01553490085017
	mean_surface_roughness: 244.5
	mean_magnetosphere_extent: 4.85359154448657
	mean_atmospheric_depth: 7.04403289727469
	mean_tidal_distortion: 405.0
	mean_core_density: 0.873973081629086
	mean_ring_system_complexity: 0.860141063134354
	mean_impact_crater_count: 0.91354235182343
	mean_axial_symmetry: 371.5
	mean_cloud_turbulence: 178.0
	orbital_radius_error: 0.68622153857191
	surface_roughness_error: 0.997546991374341
	magnetosphere_extent_error: 1.70381923923872
	atmospheric_depth_error: 7.29109045342327
	tidal_distortion_error: 0.0751930847884298
	core_density_error: 0.148290255917238
	ring_system_complexity_error: 0.174899971412233
	impact_crater_count_error: 0.122433655503705
	axial_symmetry_error: 0.127397017233529
	cloud_turbulence_error: 0.044328320518603
	max_orbital_radius: 3.2104403460471
	max_surface_roughness: 402.0
	max_magnetosphere_extent: 5.03304888893316
	max_atmospheric_depth: 7.39572160860205
	max_tidal_distortion: 468.0
	max_core_density: 0.727325623681722
	max_ring_system_complexity: 0.69851913942442
	max_impact_crater_count: 0.816193274567418
	max_axial_symmetry: 508.0
	max_cloud_turbulence: 249.0


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: 2.52172062291072
	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: 3.08831145484708
	mean_surface_roughness: 481.0
	mean_magnetosphere_extent: 4.94092788167144
	mean_atmospheric_depth: 7.21890970761906
	mean_tidal_distortion: 366.0
	mean_core_density: 0.861623298293986
	mean_ring_system_complexity: 0.78665827564506
	mean_impact_crater_count: 0.884173297966401
	mean_axial_symmetry: 529.0
	mean_cloud_turbulence: 181.5
	orbital_radius_error: 1.00199800399003
	surface_roughness_error: 0.90598013223249
	magnetosphere_extent_error: 2.52428207615552
	atmospheric_depth_error: 11.7430830704717
	tidal_distortion_error: 0.0726842486375143
	core_density_error: 0.197686620690425
	ring_system_complexity_error: 0.308512560522258
	impact_crater_count_error: 0.136528385327008
	axial_symmetry_error: 0.154951605348251
	cloud_turbulence_error: 0.0707248188403477
	max_orbital_radius: 3.2801590532851
	max_surface_roughness: 349.0
	max_magnetosphere_extent: 5.11379338619888
	max_atmospheric_depth: 7.60638738977265
	max_tidal_distortion: 174.0
	max_core_density: 0.759186152444579
	max_ring_system_complexity: 0.588546877758813
	max_impact_crater_count: 0.826104915324246
	max_axial_symmetry: 411.0
	max_cloud_turbulence: 261.0


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: 2.64262239577975
	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


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: 2.7434173449395
	mean_surface_roughness: 542.0
	mean_magnetosphere_extent: 4.58220857435074
	mean_atmospheric_depth: 6.49193675879448
	mean_tidal_distortion: 506.0
	mean_core_density: 0.86244070720138
	mean_ring_system_complexity: 0.859180341953776
	mean_impact_crater_count: 0.931410901233188
	mean_axial_symmetry: 540.0
	mean_cloud_turbulence: 501.0
	orbital_radius_error: 0.608276253029822
	surface_roughness_error: 1.01636607578175
	magnetosphere_extent_error: 1.69676162144245
	atmospheric_depth_error: 5.70526073023836
	tidal_distortion_error: 0.0748799038460921
	core_density_error: 0.20591260281974
	ring_system_complexity_error: 0.217738375120235
	impact_crater_count_error: 0.104403065089106
	axial_symmetry_error: 0.136271787248865
	cloud_turbulence_error: 0.0739324015570981
	max_orbital_radius: 2.91560622907471
	max_surface_roughness: 546.0
	max_magnetosphere_extent: 4.82911341747287
	max_atmospheric_depth: 6.85033800811219
	max_tidal_distortion: 531.0
	max_core_density: 0.603245460577909
	max_ring_system_complexity: 0.587337013978621
	max_impact_crater_count: 0.853825136612022
	max_axial_symmetry: 547.0
	max_cloud_turbulence: 559.0


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: 2.58926666511224
	mean_surface_roughness: 16.0
	mean_magnetosphere_extent: 4.38014987466102
	mean_atmospheric_depth: 6.14225243623005
	mean_tidal_distortion: 391.5
	mean_core_density: 0.934745422084295
	mean_ring_system_complexity: 0.961658668872071
	mean_impact_crater_count: 0.964320154291225
	mean_axial_symmetry: 429.0
	mean_cloud_turbulence: 205.5
	orbital_radius_error: 0.485798312059645
	surface_roughness_error: 0.815843122174846
	magnetosphere_extent_error: 1.29228479833201
	atmospheric_depth_error: 4.17492514902962
	tidal_distortion_error: 0.0896939239859646
	core_density_error: 0.108627804912002
	ring_system_complexity_error: 0.129730489862638
	impact_crater_count_error: 0.111400179533069
	axial_symmetry_error: 0.138708327075198
	cloud_turbulence_error: 0.0474130783645188
	max_orbital_radius: 2.67414864942653
	max_surface_roughness: 10.0
	max_magnetosphere_extent: 4.47699584726458
	max_atmospheric_depth: 6.31010007988141
	max_tidal_distortion: 348.5
	max_core_density: 0.887626486774365
	max_ring_system_complexity: 0.889521437466643
	max_impact_crater_count: 0.914151986909344
	max_axial_symmetry: 289.5
	max_cloud_turbulence: 81.0


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +1616
Actual -034

Accuracy 0.758, Precision 1.000, Recall 0.500, F1 0.667