Ensemble

Dataset: wisconsin

Models

Model Narratives

gemini25

Round ID: 125
Prompt used:
	Predict the classification based on the following rules. Use the first rule that matches:
	
	1. If mean_atmospheric_depth >= 6.7 AND mean_surface_roughness >= 200, predict Fylaran.
	2. Else if max_atmospheric_depth >= 7.0 AND mean_surface_roughness >= 100, predict Fylaran.
	3. Else if mean_core_density >= 0.92 AND mean_atmospheric_depth < 6.2, predict Qtharri.
	4. Else if max_atmospheric_depth >= 6.8 AND mean_surface_roughness >= 100, predict Fylaran.
	5. Else if mean_atmospheric_depth >= 6.2 AND mean_surface_roughness >= 400 AND mean_core_density < 0.92, predict Fylaran.
	6. Else (if none of the above conditions is met), predict Qtharri.
	
	Classification:
	

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    26                    6
Actual Qtharri                     1                   33

Accuracy: 0.894
Precision: 0.963
Recall: 0.812
F1 Score: 0.881

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


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.53686638871871
	mean_surface_roughness: 256.0
	mean_magnetosphere_extent: 4.3329676843847
	mean_atmospheric_depth: 6.02465751446375
	mean_tidal_distortion: 510.5
	mean_core_density: 0.907688118362531
	mean_ring_system_complexity: 0.933968431867003
	mean_impact_crater_count: 0.966323621780934
	mean_axial_symmetry: 295.5
	mean_cloud_turbulence: 401.0
	orbital_radius_error: 0.553172667437573
	surface_roughness_error: 1.28724512040248
	magnetosphere_extent_error: 1.46799182559032
	atmospheric_depth_error: 4.54092501589709
	tidal_distortion_error: 0.0924121204171834
	core_density_error: 0.151986841535707
	ring_system_complexity_error: 0.171610023017305
	impact_crater_count_error: 0.11823705003086
	axial_symmetry_error: 0.125099960031968
	cloud_turbulence_error: 0.0619677335393187
	max_orbital_radius: 2.64900766046843
	max_surface_roughness: 419.0
	max_magnetosphere_extent: 4.46026001419228
	max_atmospheric_depth: 6.25900768571888
	max_tidal_distortion: 534.0
	max_core_density: 0.789889415481833
	max_ring_system_complexity: 0.776819700147596
	max_impact_crater_count: 0.89142449634516
	max_axial_symmetry: 276.5
	max_cloud_turbulence: 416.0


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: 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 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


openai4110

Round ID: 117
Prompt used:
	Inference rules for classifying entities as Fylaran or Qtharri:
	
	1. If mean_ring_system_complexity ≥ 0.97 OR mean_impact_crater_count ≥ 0.97, predict Qtharri.
	2. If BOTH mean_ring_system_complexity ≥ 0.945 AND mean_impact_crater_count ≥ 0.945, predict Qtharri UNLESS mean_core_density ≥ 0.94 AND max_ring_system_complexity < 0.9 AND max_impact_crater_count < 0.9, in which case predict Fylaran.
	3. Otherwise, predict Fylaran.
	
	Apply these rules strictly and use only the provided feature values.

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    25                    7
Actual Qtharri                     7                   27

Accuracy: 0.788
Precision: 0.781
Recall: 0.781
F1 Score: 0.781

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 3.06712226964066
	mean_surface_roughness: 407.5
	mean_magnetosphere_extent: 4.8941014778403
	mean_atmospheric_depth: 7.17548971362422
	mean_tidal_distortion: 103.0
	mean_core_density: 0.922951969579503
	mean_ring_system_complexity: 0.917077823224079
	mean_impact_crater_count: 0.943200467827432
	mean_axial_symmetry: 45.0
	mean_cloud_turbulence: 8.0
	orbital_radius_error: 0.829095893126965
	surface_roughness_error: 1.02029407525478
	magnetosphere_extent_error: 2.26803880037357
	atmospheric_depth_error: 9.13783344124853
	tidal_distortion_error: 0.0892132277187638
	core_density_error: 0.177002824836216
	ring_system_complexity_error: 0.206324986368593
	impact_crater_count_error: 0.129267165204471
	axial_symmetry_error: 0.115801554393713
	cloud_turbulence_error: 0.0627136348811006
	max_orbital_radius: 3.22763733053677
	max_surface_roughness: 319.0
	max_magnetosphere_extent: 5.09190801422499
	max_atmospheric_depth: 7.46794233228585
	max_tidal_distortion: 199.5
	max_core_density: 0.812281699293315
	max_ring_system_complexity: 0.75999392004864
	max_impact_crater_count: 0.873743993010048
	max_axial_symmetry: 52.0
	max_cloud_turbulence: 141.5


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: 3.08831145484708
	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 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: 2.52011290552262
	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


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +248
Actual -133

Accuracy 0.864, Precision 0.960, Recall 0.750, F1 0.842