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: 2.8130106367387
	mean_surface_roughness: 472.0
	mean_magnetosphere_extent: 4.71133038181648
	mean_atmospheric_depth: 6.65221765985692
	mean_tidal_distortion: 487.5
	mean_core_density: 0.762543846271161
	mean_ring_system_complexity: 0.758955676988464
	mean_impact_crater_count: 0.878966335589347
	mean_axial_symmetry: 556.0
	mean_cloud_turbulence: 558.0
	orbital_radius_error: 1.13666177907063
	surface_roughness_error: 1.56652481627327
	magnetosphere_extent_error: 3.18119474411737
	atmospheric_depth_error: 11.7686022959398
	tidal_distortion_error: 0.111175536877498
	core_density_error: 0.244846890933906
	ring_system_complexity_error: 0.286914621446869
	impact_crater_count_error: 0.173896520954273
	axial_symmetry_error: 0.152872495891184
	cloud_turbulence_error: 0.0777303029712351
	max_orbital_radius: 3.03735394824481
	max_surface_roughness: 472.0
	max_magnetosphere_extent: 4.97466263363744
	max_atmospheric_depth: 7.11232744471091
	max_tidal_distortion: 459.5
	max_core_density: 0.659108884787767
	max_ring_system_complexity: 0.618008775724615
	max_impact_crater_count: 0.802439415824105
	max_axial_symmetry: 464.0
	max_cloud_turbulence: 488.5


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: 2.6447553507299
	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: 2.64119789411437
	mean_surface_roughness: 260.0
	mean_magnetosphere_extent: 4.42616313016197
	mean_atmospheric_depth: 6.26301723762988
	mean_tidal_distortion: 196.5
	mean_core_density: 0.963706801842607
	mean_ring_system_complexity: 0.975019987909752
	mean_impact_crater_count: 0.971600128251217
	mean_axial_symmetry: 45.0
	mean_cloud_turbulence: 161.0
	orbital_radius_error: 0.428835632847831
	surface_roughness_error: 1.5303594349041
	magnetosphere_extent_error: 1.0816653826392
	atmospheric_depth_error: 3.76297754444536
	tidal_distortion_error: 0.0659696900098826
	core_density_error: 0.0699928567783885
	ring_system_complexity_error: 0.115887876846545
	impact_crater_count_error: 0.107888831674089
	axial_symmetry_error: 0.163431943022164
	cloud_turbulence_error: 0.042154477816716
	max_orbital_radius: 2.66025953726586
	max_surface_roughness: 197.0
	max_magnetosphere_extent: 4.44804843021588
	max_atmospheric_depth: 6.30426597035273
	max_tidal_distortion: 31.0
	max_core_density: 0.955849319913209
	max_ring_system_complexity: 0.953898104604466
	max_impact_crater_count: 0.952263053145801
	max_axial_symmetry: 18.0
	max_cloud_turbulence: 25.0


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: 2.89092715918786
	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 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 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


random

Round ID: 212
Prompt used:
	Choose randomly

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    13                   19
Actual Qtharri                    21                   13

Accuracy: 0.394
Precision: 0.382
Recall: 0.406
F1 Score: 0.394

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 3.00419635196612
	mean_surface_roughness: 507.0
	mean_magnetosphere_extent: 4.89335213348152
	mean_atmospheric_depth: 7.02464903045364
	mean_tidal_distortion: 305.0
	mean_core_density: 0.802697062128753
	mean_ring_system_complexity: 0.828843762950684
	mean_impact_crater_count: 0.899442345745638
	mean_axial_symmetry: 550.5
	mean_cloud_turbulence: 551.0
	orbital_radius_error: 0.977496803063826
	surface_roughness_error: 1.88891503249882
	magnetosphere_extent_error: 3.32716095192283
	atmospheric_depth_error: 10.7796103825695
	tidal_distortion_error: 0.0560267793113258
	core_density_error: 0.288045135352083
	ring_system_complexity_error: 0.298161030317512
	impact_crater_count_error: 0.202237484161567
	axial_symmetry_error: 0.211754574921063
	cloud_turbulence_error: 0.113313723793722
	max_orbital_radius: 3.08922261664133
	max_surface_roughness: 430.0
	max_magnetosphere_extent: 5.02847521222459
	max_atmospheric_depth: 7.19518732017871
	max_tidal_distortion: 61.5
	max_core_density: 0.719269222469971
	max_ring_system_complexity: 0.733191582960628
	max_impact_crater_count: 0.849834282314949
	max_axial_symmetry: 426.0
	max_cloud_turbulence: 490.5


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: 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 Fylaran when it should have been Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.36724860631977
	mean_surface_roughness: 238.0
	mean_magnetosphere_extent: 4.12810165902023
	mean_atmospheric_depth: 5.66052696598524
	mean_tidal_distortion: 98.0
	mean_core_density: 0.948514626095534
	mean_ring_system_complexity: 0.98542555602637
	mean_impact_crater_count: 0.994264090462124
	mean_axial_symmetry: 192.0
	mean_cloud_turbulence: 373.5
	orbital_radius_error: 0.584465567848098
	surface_roughness_error: 1.14542568506211
	magnetosphere_extent_error: 1.50831031289984
	atmospheric_depth_error: 4.58039299623951
	tidal_distortion_error: 0.104785495179438
	core_density_error: 0.112116011345392
	ring_system_complexity_error: 0.101538170162752
	impact_crater_count_error: 0.0627216071222669
	axial_symmetry_error: 0.164103625797848
	cloud_turbulence_error: 0.0545802161959808
	max_orbital_radius: 2.49732916978656
	max_surface_roughness: 256.0
	max_magnetosphere_extent: 4.27819273092867
	max_atmospheric_depth: 5.94332417178005
	max_tidal_distortion: 351.0
	max_core_density: 0.888494002665482
	max_ring_system_complexity: 0.939770132225658
	max_impact_crater_count: 0.975609756097561
	max_axial_symmetry: 380.0
	max_cloud_turbulence: 267.0


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 +1913
Actual -133

Accuracy 0.788, Precision 0.950, Recall 0.594, F1 0.731