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: 2.69462718077007
	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 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: 3.22882615572137
	mean_surface_roughness: 353.5
	mean_magnetosphere_extent: 5.1191907006506
	mean_atmospheric_depth: 7.47420480649612
	mean_tidal_distortion: 568.0
	mean_core_density: 0.777181938291754
	mean_ring_system_complexity: 0.700869077656294
	mean_impact_crater_count: 0.832500832500833
	mean_axial_symmetry: 565.0
	mean_cloud_turbulence: 472.5
	orbital_radius_error: 1.22841361112615
	surface_roughness_error: 1.76635217326557
	magnetosphere_extent_error: 3.1316130029108
	atmospheric_depth_error: 15.2643375224737
	tidal_distortion_error: 0.15274161188098
	core_density_error: 0.313145333671125
	ring_system_complexity_error: 0.35749125863439
	impact_crater_count_error: 0.134981480211176
	axial_symmetry_error: 0.213236957397164
	cloud_turbulence_error: 0.099373034571759
	max_orbital_radius: 3.29657733253205
	max_surface_roughness: 236.0
	max_magnetosphere_extent: 5.20345708552408
	max_atmospheric_depth: 7.63723438878947
	max_tidal_distortion: 535.0
	max_core_density: 0.702049985959
	max_ring_system_complexity: 0.632791242169208
	max_impact_crater_count: 0.816459830176355
	max_axial_symmetry: 448.0
	max_cloud_turbulence: 287.5


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: 2.59076704048748
	mean_surface_roughness: 535.0
	mean_magnetosphere_extent: 4.40854684448328
	mean_atmospheric_depth: 6.17044720263642
	mean_tidal_distortion: 400.0
	mean_core_density: 0.880824451686779
	mean_ring_system_complexity: 0.9021199819576
	mean_impact_crater_count: 0.956370383121976
	mean_axial_symmetry: 413.0
	mean_cloud_turbulence: 488.0
	orbital_radius_error: 0.63663176169588
	surface_roughness_error: 1.34499070628759
	magnetosphere_extent_error: 1.62542302186231
	atmospheric_depth_error: 5.86856030044848
	tidal_distortion_error: 0.0953834367172834
	core_density_error: 0.196086715511276
	ring_system_complexity_error: 0.193984535466104
	impact_crater_count_error: 0.114934764105557
	axial_symmetry_error: 0.137040140105007
	cloud_turbulence_error: 0.0753126815350509
	max_orbital_radius: 2.81241021642645
	max_surface_roughness: 558.0
	max_magnetosphere_extent: 4.63181211693451
	max_atmospheric_depth: 6.646260636284
	max_tidal_distortion: 550.0
	max_core_density: 0.67999456004352
	max_ring_system_complexity: 0.693240901213172
	max_impact_crater_count: 0.872676498821887
	max_axial_symmetry: 442.0
	max_cloud_turbulence: 544.0


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


openai10

Round ID: 329
Prompt used:
	The task is to classify entities as either 'Fylaran' or 'Qtharri' based on their features. Apply the following rules:
	
	1. Classify as 'Fylaran' if the mean_orbital_radius is > 2.6 and the mean_core_density is < 0.92.
	2. Classify as 'Qtharri' if the mean_orbital_radius is <= 2.6 or the mean_core_density is >= 0.92.
	
	Use these rules consistently to make predictions. If any features are missing, label them as 'unknown' and do not classify.

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    24                    8
Actual Qtharri                     4                   30

Accuracy: 0.818
Precision: 0.857
Recall: 0.750
F1 Score: 0.800

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: 2.89092715918786
	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 Fylaran when it should have been Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 2.76945882923085
	mean_surface_roughness: 280.5
	mean_magnetosphere_extent: 4.59350238112041
	mean_atmospheric_depth: 6.53741597284935
	mean_tidal_distortion: 79.0
	mean_core_density: 0.895495656846064
	mean_ring_system_complexity: 0.917010545621275
	mean_impact_crater_count: 0.965605144744211
	mean_axial_symmetry: 254.0
	mean_cloud_turbulence: 396.0
	orbital_radius_error: 0.649615270756469
	surface_roughness_error: 1.38166566143912
	magnetosphere_extent_error: 1.80859061149836
	atmospheric_depth_error: 6.27933117457584
	tidal_distortion_error: 0.0760920495189872
	core_density_error: 0.220839308095275
	ring_system_complexity_error: 0.230282435283284
	impact_crater_count_error: 0.123571841452655
	axial_symmetry_error: 0.183193886360872
	cloud_turbulence_error: 0.0967884290605029
	max_orbital_radius: 2.84781214347737
	max_surface_roughness: 289.5
	max_magnetosphere_extent: 4.68305672464516
	max_atmospheric_depth: 6.69789807199366
	max_tidal_distortion: 39.0
	max_core_density: 0.798658254133056
	max_ring_system_complexity: 0.8
	max_impact_crater_count: 0.922466675891333
	max_axial_symmetry: 305.0
	max_cloud_turbulence: 431.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.63547950826737
	mean_surface_roughness: 135.5
	mean_magnetosphere_extent: 4.43248207816237
	mean_atmospheric_depth: 6.24358420665871
	mean_tidal_distortion: 360.5
	mean_core_density: 0.926414867105787
	mean_ring_system_complexity: 0.942018746173049
	mean_impact_crater_count: 0.967398664989842
	mean_axial_symmetry: 239.0
	mean_cloud_turbulence: 390.0
	orbital_radius_error: 0.457602447545902
	surface_roughness_error: 0.873842090998139
	magnetosphere_extent_error: 1.10950439386241
	atmospheric_depth_error: 4.20356991139674
	tidal_distortion_error: 0.093407708461347
	core_density_error: 0.141527382509534
	ring_system_complexity_error: 0.152807067899361
	impact_crater_count_error: 0.106395488626163
	axial_symmetry_error: 0.162018517460196
	cloud_turbulence_error: 0.0687459089691888
	max_orbital_radius: 2.69056488676119
	max_surface_roughness: 111.0
	max_magnetosphere_extent: 4.49769632768286
	max_atmospheric_depth: 6.37400215057244
	max_tidal_distortion: 443.5
	max_core_density: 0.828637719588996
	max_ring_system_complexity: 0.816926721673066
	max_impact_crater_count: 0.904486251808973
	max_axial_symmetry: 482.0
	max_cloud_turbulence: 454.0


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +239
Actual -034

Accuracy 0.864, Precision 1.000, Recall 0.719, F1 0.836