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: 3.11839228628988
	mean_surface_roughness: 449.0
	mean_magnetosphere_extent: 4.97948856509942
	mean_atmospheric_depth: 7.24992553671799
	mean_tidal_distortion: 528.5
	mean_core_density: 0.827335153470671
	mean_ring_system_complexity: 0.78064012490242
	mean_impact_crater_count: 0.864902266043937
	mean_axial_symmetry: 517.0
	mean_cloud_turbulence: 424.0
	orbital_radius_error: 0.790063288604147
	surface_roughness_error: 0.959635347410671
	magnetosphere_extent_error: 2.03911745615597
	atmospheric_depth_error: 8.99944442729661
	tidal_distortion_error: 0.0722149568995232
	core_density_error: 0.193028495305745
	ring_system_complexity_error: 0.217209576216151
	impact_crater_count_error: 0.113490087672889
	axial_symmetry_error: 0.143003496460751
	cloud_turbulence_error: 0.0634665266104897
	max_orbital_radius: 3.30431930668567
	max_surface_roughness: 405.0
	max_magnetosphere_extent: 5.15329159449778
	max_atmospheric_depth: 7.64108424917491
	max_tidal_distortion: 456.0
	max_core_density: 0.636253737990711
	max_ring_system_complexity: 0.586407083797572
	max_impact_crater_count: 0.805023345677025
	max_axial_symmetry: 532.0
	max_cloud_turbulence: 481.0


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: 3.0568273729138
	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 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: 2.78932292123095
	mean_surface_roughness: 24.0
	mean_magnetosphere_extent: 4.59683554919803
	mean_atmospheric_depth: 6.58823848301034
	mean_tidal_distortion: 84.0
	mean_core_density: 0.941353666572531
	mean_ring_system_complexity: 0.944358402901069
	mean_impact_crater_count: 0.969396163129986
	mean_axial_symmetry: 15.0
	mean_cloud_turbulence: 55.0
	orbital_radius_error: 0.461952378498044
	surface_roughness_error: 0.602328813855024
	magnetosphere_extent_error: 1.23490890352285
	atmospheric_depth_error: 4.47213595499958
	tidal_distortion_error: 0.0655057249406493
	core_density_error: 0.111175536877498
	ring_system_complexity_error: 0.135683455144686
	impact_crater_count_error: 0.0858661749468322
	axial_symmetry_error: 0.0976678043164686
	cloud_turbulence_error: 0.0406939798987516
	max_orbital_radius: 2.91126311692754
	max_surface_roughness: 18.0
	max_magnetosphere_extent: 4.74232002413533
	max_atmospheric_depth: 6.83915518748988
	max_tidal_distortion: 189.5
	max_core_density: 0.820613819136714
	max_ring_system_complexity: 0.771485881808363
	max_impact_crater_count: 0.906207521522429
	max_axial_symmetry: 77.0
	max_cloud_turbulence: 192.0


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: 2.79239134953596
	mean_surface_roughness: 195.5
	mean_magnetosphere_extent: 4.64631212931927
	mean_atmospheric_depth: 6.57130304216093
	mean_tidal_distortion: 564.0
	mean_core_density: 0.81406707912732
	mean_ring_system_complexity: 0.803341902313625
	mean_impact_crater_count: 0.889521437466643
	mean_axial_symmetry: 552.0
	mean_cloud_turbulence: 539.0
	orbital_radius_error: 0.811911325207378
	surface_roughness_error: 1.02907725657503
	magnetosphere_extent_error: 2.01519229851645
	atmospheric_depth_error: 7.7110310594628
	tidal_distortion_error: 0.100747208398049
	core_density_error: 0.214196171767845
	ring_system_complexity_error: 0.223226342531521
	impact_crater_count_error: 0.145842380671738
	axial_symmetry_error: 0.137258879494188
	cloud_turbulence_error: 0.0930591209930547
	max_orbital_radius: 2.930126516456
	max_surface_roughness: 192.0
	max_magnetosphere_extent: 4.79413628550071
	max_atmospheric_depth: 6.83496950925648
	max_tidal_distortion: 545.0
	max_core_density: 0.689512514652141
	max_ring_system_complexity: 0.693048721325109
	max_impact_crater_count: 0.817728350641917
	max_axial_symmetry: 456.5
	max_cloud_turbulence: 540.0


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: 2.73890266458497
	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


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: 3.0248055210397
	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: 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 Fylaran when it should have been Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.78932292123095
	mean_surface_roughness: 24.0
	mean_magnetosphere_extent: 4.59683554919803
	mean_atmospheric_depth: 6.58823848301034
	mean_tidal_distortion: 84.0
	mean_core_density: 0.941353666572531
	mean_ring_system_complexity: 0.944358402901069
	mean_impact_crater_count: 0.969396163129986
	mean_axial_symmetry: 15.0
	mean_cloud_turbulence: 55.0
	orbital_radius_error: 0.461952378498044
	surface_roughness_error: 0.602328813855024
	magnetosphere_extent_error: 1.23490890352285
	atmospheric_depth_error: 4.47213595499958
	tidal_distortion_error: 0.0655057249406493
	core_density_error: 0.111175536877498
	ring_system_complexity_error: 0.135683455144686
	impact_crater_count_error: 0.0858661749468322
	axial_symmetry_error: 0.0976678043164686
	cloud_turbulence_error: 0.0406939798987516
	max_orbital_radius: 2.91126311692754
	max_surface_roughness: 18.0
	max_magnetosphere_extent: 4.74232002413533
	max_atmospheric_depth: 6.83915518748988
	max_tidal_distortion: 189.5
	max_core_density: 0.820613819136714
	max_ring_system_complexity: 0.771485881808363
	max_impact_crater_count: 0.906207521522429
	max_axial_symmetry: 77.0
	max_cloud_turbulence: 192.0


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 +1913
Actual -133

Accuracy 0.788, Precision 0.950, Recall 0.594, F1 0.731