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: 2.97603964020825
	mean_surface_roughness: 358.5
	mean_magnetosphere_extent: 4.81299703319041
	mean_atmospheric_depth: 6.9985096422506
	mean_tidal_distortion: 264.0
	mean_core_density: 0.903668895716609
	mean_ring_system_complexity: 0.870322019147084
	mean_impact_crater_count: 0.928237925945178
	mean_axial_symmetry: 205.5
	mean_cloud_turbulence: 119.0
	orbital_radius_error: 0.923525852372309
	surface_roughness_error: 1.3597793938724
	magnetosphere_extent_error: 2.37318351587061
	atmospheric_depth_error: 9.67160793250016
	tidal_distortion_error: 0.103682206766639
	core_density_error: 0.164984847789123
	ring_system_complexity_error: 0.225410736212808
	impact_crater_count_error: 0.13823892360692
	axial_symmetry_error: 0.151426549851735
	cloud_turbulence_error: 0.0649384323802169
	max_orbital_radius: 3.10503500844444
	max_surface_roughness: 359.0
	max_magnetosphere_extent: 4.94805041890463
	max_atmospheric_depth: 7.24708058458576
	max_tidal_distortion: 301.5
	max_core_density: 0.825286787158538
	max_ring_system_complexity: 0.743715603153354
	max_impact_crater_count: 0.870322019147084
	max_axial_symmetry: 82.0
	max_cloud_turbulence: 182.0


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: 2.73890266458497
	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: 2.62900699376176
	mean_surface_roughness: 232.0
	mean_magnetosphere_extent: 4.43307614934957
	mean_atmospheric_depth: 6.22910254457264
	mean_tidal_distortion: 342.0
	mean_core_density: 0.912858525185767
	mean_ring_system_complexity: 0.96256581543763
	mean_impact_crater_count: 0.977373796608513
	mean_axial_symmetry: 225.5
	mean_cloud_turbulence: 218.0
	orbital_radius_error: 0.51526692111953
	surface_roughness_error: 1.04642247682282
	magnetosphere_extent_error: 1.33341666406266
	atmospheric_depth_error: 4.51109742745598
	tidal_distortion_error: 0.0727530068107154
	core_density_error: 0.128879788950789
	ring_system_complexity_error: 0.143909693905588
	impact_crater_count_error: 0.0904378239455152
	axial_symmetry_error: 0.132211951048307
	cloud_turbulence_error: 0.0533666562565053
	max_orbital_radius: 2.7239235502585
	max_surface_roughness: 261.0
	max_magnetosphere_extent: 4.53130833738964
	max_atmospheric_depth: 6.43470701955018
	max_tidal_distortion: 256.0
	max_core_density: 0.823655382587925
	max_ring_system_complexity: 0.852442247037763
	max_impact_crater_count: 0.92656079165354
	max_axial_symmetry: 266.5
	max_cloud_turbulence: 271.5


openai10o1

Round ID: 302
Prompt used:
	Classification Rules for Cosmic Entities (Further Extended):
	
	IMPORTANT: Apply these rules in the listed order. Once a rule matches, use its classification and stop.
	
	1. High Confidence Qtharri Identification Rules (Apply first):
	   - If mean_ring_system_complexity >= 0.99 AND mean_impact_crater_count >= 0.99, classify as Qtharri immediately.
	   - If mean_ring_system_complexity > 0.96 AND mean_impact_crater_count > 0.975, classify as Qtharri regardless of other factors.
	   - If mean_impact_crater_count > 0.98 AND mean_cloud_turbulence < 350, classify as Qtharri regardless of other factors.
	   - If mean_axial_symmetry < 50 AND mean_cloud_turbulence < 50 AND mean_orbital_radius > 2.6, classify as Qtharri.
	   - If mean_tidal_distortion < 120 AND mean_impact_crater_count > 0.96 AND mean_cloud_turbulence < 180, classify as Qtharri.
	   - If orbital_radius_error < 0.45 AND atmospheric_depth_error < 4.0 AND mean_impact_crater_count > 0.96, classify as Qtharri.
	
	2. High Confidence Fylaran Identification Rules (Apply second):
	   - If mean_cloud_turbulence > 500 AND mean_orbital_radius > 2.5, classify as Fylaran.
	   - If mean_cloud_turbulence > 450 AND mean_orbital_radius > 2.65 AND mean_tidal_distortion > 400, classify as Fylaran.
	   - If mean_tidal_distortion > 530 AND mean_orbital_radius > 2.6, classify as Fylaran.
	   - If orbital_radius_error > 0.85 AND atmospheric_depth_error > 9.0, classify as Fylaran.
	   - If atmospheric_depth_error > 10.0, classify as Fylaran.
	
	3. Primary Orbital Classification:
	   - If mean_orbital_radius > 2.95, classify as Fylaran.
	   - If mean_orbital_radius < 2.4, classify as Qtharri.
	
	4. Surface and Atmosphere Rules:
	   - If mean_atmospheric_depth > 6.85, classify as Fylaran.
	   - If max_orbital_radius > 3.05, classify as Fylaran.
	   - If mean_atmospheric_depth < 5.9, classify as Qtharri.
	
	5. Combined Feature Rules for Boundary Cases (when mean_orbital_radius is between 2.4 and 2.95):
	   - If mean_orbital_radius is between 2.4 and 2.7 AND mean_cloud_turbulence > 350 AND mean_impact_crater_count < 0.96, classify as Fylaran.
	   - If mean_orbital_radius is between 2.4 and 2.7 AND mean_axial_symmetry > 500, classify as Fylaran.
	   - If mean_orbital_radius is between 2.4 and 2.7 AND mean_tidal_distortion > 500, classify as Fylaran.
	   - If mean_orbital_radius is between 2.6 and 2.8 AND mean_atmospheric_depth < 6.35 AND mean_cloud_turbulence < 250 AND mean_tidal_distortion < 300 AND mean_impact_crater_count > 0.96, classify as Qtharri.
	   - If mean_orbital_radius is between 2.7 and 2.85 AND mean_atmospheric_depth > 6.5 AND max_orbital_radius < 2.85 AND mean_cloud_turbulence < 150 AND mean_tidal_distortion < 300, classify as Qtharri.
	   - If mean_orbital_radius is between 2.6 and 2.8 AND mean_ring_system_complexity < 0.8, classify as Fylaran.
	   - If mean_orbital_radius is between 2.8 and 2.9 AND mean_impact_crater_count > 0.97 AND mean_cloud_turbulence < 100, classify as Qtharri.
	   - If mean_orbital_radius is between 2.8 and 2.95 AND mean_cloud_turbulence < 80 AND mean_axial_symmetry < 150, classify as Qtharri,
	     EXCEPT if (mean_atmospheric_depth > 6.6 AND mean_tidal_distortion < 300 AND mean_ring_system_complexity > 0.93), in which case classify as Fylaran.
	
	6. Fylaran-leaning Boundary Rules:
	   - If mean_orbital_radius is between 2.65 and 2.75 AND mean_atmospheric_depth is between 6.3 and 6.5 AND mean_cloud_turbulence > 250, classify as Fylaran.
	   - If mean_orbital_radius is between 2.75 and 2.87 AND mean_atmospheric_depth is between 6.5 and 6.75 AND mean_cloud_turbulence > 180 AND mean_tidal_distortion > 350, classify as Fylaran.
	   - If mean_orbital_radius is between 2.65 and 2.8 AND mean_atmospheric_depth > 6.25 AND mean_tidal_distortion > 250 AND mean_cloud_turbulence > 175, classify as Fylaran.
	   - If mean_orbital_radius is between 2.7 and 2.85 AND mean_atmospheric_depth > 6.45 AND mean_tidal_distortion > 350, classify as Fylaran.
	   - If mean_orbital_radius is between 2.5 and 2.7 AND mean_cloud_turbulence > 400 AND mean_tidal_distortion > 300, classify as Fylaran.
	   - If mean_orbital_radius is between 2.6 and 2.85 AND mean_cloud_turbulence > 300 AND mean_axial_symmetry > 450, classify as Fylaran.
	
	7. Error Measurement and Feature Combination Rules:
	   - If orbital_radius_error > 0.65 AND atmospheric_depth_error > 5.5 AND mean_orbital_radius > 2.7 AND mean_tidal_distortion > 300, classify as Fylaran.
	   - If orbital_radius_error > 0.65 AND atmospheric_depth_error > 6.0 AND mean_orbital_radius > 2.65, classify as Fylaran.
	   - If orbital_radius_error < 0.48 AND core_density_error < 0.12 AND mean_impact_crater_count > 0.96 AND mean_cloud_turbulence < 150, classify as Qtharri.
	   - If max_orbital_radius > 2.9 AND mean_atmospheric_depth > 6.7 AND orbital_radius_error > 0.6, classify as Fylaran.
	
	8. Specific Rules for Edge Cases:
	   - If mean_orbital_radius is between 2.55 and 2.7 AND mean_atmospheric_depth is between 6.0 and 6.35 AND mean_cloud_turbulence > 400 AND mean_axial_symmetry > 350, classify as Fylaran.
	   - If mean_orbital_radius is between 2.7 and 2.8 AND mean_atmospheric_depth > 6.35 AND mean_tidal_distortion > 300, classify as Fylaran.
	   - If mean_orbital_radius is between 2.65 and 2.75 AND mean_tidal_distortion > 400 AND mean_impact_crater_count < 0.96, classify as Fylaran.
	   - If mean_orbital_radius is between 2.8 and 2.95 AND mean_atmospheric_depth > 6.6 AND mean_cloud_turbulence > 150, classify as Fylaran.
	   - If mean_orbital_radius is between 2.75 and 2.95 AND mean_atmospheric_depth > 6.5 AND mean_tidal_distortion > 250 AND mean_axial_symmetry > 200, classify as Fylaran.
	
	9. Additional Specific Overriding Rules for High Ring Complexity and Crater Count:
	   - If mean_orbital_radius < 2.65 AND mean_ring_system_complexity > 0.93 AND mean_impact_crater_count > 0.96 AND mean_tidal_distortion < 400 AND mean_cloud_turbulence > 350,
	     classify as Qtharri. (This corrects certain false positives at lower orbital radii.)
	   - If mean_orbital_radius is between 2.75 and 2.8 AND mean_atmospheric_depth > 6.55 AND mean_ring_system_complexity > 0.93 AND mean_impact_crater_count > 0.96 AND mean_cloud_turbulence < 250,
	     classify as Fylaran. (This corrects certain false negatives in that orbital range.)
	
	10. Tie-Breaking Rules (if none of the above apply):
	   - If mean_cloud_turbulence > 350 AND mean_orbital_radius > 2.5, classify as Fylaran.
	   - If mean_axial_symmetry > 500 AND mean_orbital_radius > 2.6, classify as Fylaran.
	   - If mean_tidal_distortion > 500 AND mean_orbital_radius > 2.65, classify as Fylaran.
	   - If mean_orbital_radius > 2.7 AND mean_tidal_distortion > 320 AND mean_cloud_turbulence > 250, classify as Fylaran.
	   - If mean_orbital_radius > 2.75 AND mean_atmospheric_depth > 6.4 AND mean_cloud_turbulence > 175, classify as Fylaran.
	   - If mean_orbital_radius > 2.8 AND mean_atmospheric_depth > 6.6, classify as Fylaran.
	   - If mean_orbital_radius < 2.7 AND mean_impact_crater_count > 0.965, classify as Qtharri.
	   - Otherwise, classify as Qtharri.
	
	Use these updated rules carefully, as they are designed to reduce both false positives and false negatives by:
	• Retaining the definitive Qtharri conditions first.
	• Refining boundary-level Fylaran rules to address missed cases.
	• Adding additional specific overrides for high ring-system complexity and impact crater count in borderline orbital ranges.
	• Maintaining distinct high-confidence Fylaran rules for large orbital radius, deeper atmosphere, and atmospheric errors.
	• Using tie-breakers only if none of the specialized rules match.
	

Confusion Matrix:
                Predicted Fylaran    Predicted Qtharri   
Actual Fylaran                    26                    6
Actual Qtharri                     9                   25

Accuracy: 0.773
Precision: 0.743
Recall: 0.812
F1 Score: 0.776

Examples for Correctly predicted Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Fylaran)
  Entity Data:
	mean_orbital_radius: 3.02916704964023
	mean_surface_roughness: 422.5
	mean_magnetosphere_extent: 4.87443367291585
	mean_atmospheric_depth: 7.08590146436561
	mean_tidal_distortion: 318.0
	mean_core_density: 0.881911985183879
	mean_ring_system_complexity: 0.842957093483942
	mean_impact_crater_count: 0.900657479960371
	mean_axial_symmetry: 483.5
	mean_cloud_turbulence: 126.5
	orbital_radius_error: 0.789050061783155
	surface_roughness_error: 1.511290838985
	magnetosphere_extent_error: 2.27442300375282
	atmospheric_depth_error: 8.22556988907152
	tidal_distortion_error: 0.0689637585982667
	core_density_error: 0.183521115951271
	ring_system_complexity_error: 0.208446635856758
	impact_crater_count_error: 0.134387499418659
	axial_symmetry_error: 0.19380402472601
	cloud_turbulence_error: 0.0573410847473258
	max_orbital_radius: 3.16758253048065
	max_surface_roughness: 526.0
	max_magnetosphere_extent: 5.06638530920075
	max_atmospheric_depth: 7.34018683532012
	max_tidal_distortion: 184.0
	max_core_density: 0.743052459503641
	max_ring_system_complexity: 0.678702321161938
	max_impact_crater_count: 0.815993472052224
	max_axial_symmetry: 539.0
	max_cloud_turbulence: 271.5


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: 2.90690105984738
	mean_surface_roughness: 185.0
	mean_magnetosphere_extent: 4.7361984483945
	mean_atmospheric_depth: 6.83432400089625
	mean_tidal_distortion: 369.5
	mean_core_density: 0.905715062041482
	mean_ring_system_complexity: 0.887626486774365
	mean_impact_crater_count: 0.922909379528024
	mean_axial_symmetry: 307.5
	mean_cloud_turbulence: 82.0
	orbital_radius_error: 0.556147462459373
	surface_roughness_error: 0.925634917232491
	magnetosphere_extent_error: 1.48087811787466
	atmospheric_depth_error: 5.79913786695919
	tidal_distortion_error: 0.0689710084020815
	core_density_error: 0.122596900450215
	ring_system_complexity_error: 0.152708873350569
	impact_crater_count_error: 0.112338773359869
	axial_symmetry_error: 0.118067777145164
	cloud_turbulence_error: 0.0486004115208915
	max_orbital_radius: 3.03735394824481
	max_surface_roughness: 272.5
	max_magnetosphere_extent: 4.88204405972327
	max_atmospheric_depth: 7.10906213568717
	max_tidal_distortion: 387.0
	max_core_density: 0.806126561870214
	max_ring_system_complexity: 0.747495888772612
	max_impact_crater_count: 0.843383655224762
	max_axial_symmetry: 413.0
	max_cloud_turbulence: 302.0


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: 2.65112705370259
	mean_surface_roughness: 248.0
	mean_magnetosphere_extent: 4.44593996041753
	mean_atmospheric_depth: 6.28841602556691
	mean_tidal_distortion: 27.0
	mean_core_density: 0.943449629224296
	mean_ring_system_complexity: 0.953661583650426
	mean_impact_crater_count: 0.972100709633518
	mean_axial_symmetry: 39.5
	mean_cloud_turbulence: 63.5
	orbital_radius_error: 0.44977772288098
	surface_roughness_error: 0.827647267862342
	magnetosphere_extent_error: 1.11175536877498
	atmospheric_depth_error: 4.1097445176069
	tidal_distortion_error: 0.0772593036468748
	core_density_error: 0.122188379152847
	ring_system_complexity_error: 0.125059985606908
	impact_crater_count_error: 0.0919945650568554
	axial_symmetry_error: 0.104546640309481
	cloud_turbulence_error: 0.0408900966005217
	max_orbital_radius: 2.76631910922619
	max_surface_roughness: 235.0
	max_magnetosphere_extent: 4.56538931597625
	max_atmospheric_depth: 6.53466055090442
	max_tidal_distortion: 249.5
	max_core_density: 0.835770998746344
	max_ring_system_complexity: 0.842034355001684
	max_impact_crater_count: 0.905387052965143
	max_axial_symmetry: 51.0
	max_cloud_turbulence: 107.0


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: 3.02916704964023
	mean_surface_roughness: 422.5
	mean_magnetosphere_extent: 4.87443367291585
	mean_atmospheric_depth: 7.08590146436561
	mean_tidal_distortion: 318.0
	mean_core_density: 0.881911985183879
	mean_ring_system_complexity: 0.842957093483942
	mean_impact_crater_count: 0.900657479960371
	mean_axial_symmetry: 483.5
	mean_cloud_turbulence: 126.5
	orbital_radius_error: 0.789050061783155
	surface_roughness_error: 1.511290838985
	magnetosphere_extent_error: 2.27442300375282
	atmospheric_depth_error: 8.22556988907152
	tidal_distortion_error: 0.0689637585982667
	core_density_error: 0.183521115951271
	ring_system_complexity_error: 0.208446635856758
	impact_crater_count_error: 0.134387499418659
	axial_symmetry_error: 0.19380402472601
	cloud_turbulence_error: 0.0573410847473258
	max_orbital_radius: 3.16758253048065
	max_surface_roughness: 526.0
	max_magnetosphere_extent: 5.06638530920075
	max_atmospheric_depth: 7.34018683532012
	max_tidal_distortion: 184.0
	max_core_density: 0.743052459503641
	max_ring_system_complexity: 0.678702321161938
	max_impact_crater_count: 0.815993472052224
	max_axial_symmetry: 539.0
	max_cloud_turbulence: 271.5


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: 2.83438912314523
	mean_surface_roughness: 476.0
	mean_magnetosphere_extent: 4.64150211523548
	mean_atmospheric_depth: 6.68311060154166
	mean_tidal_distortion: 87.0
	mean_core_density: 0.937479492636099
	mean_ring_system_complexity: 0.968063582416093
	mean_impact_crater_count: 0.967838719355806
	mean_axial_symmetry: 74.5
	mean_cloud_turbulence: 117.0
	orbital_radius_error: 0.616035713250458
	surface_roughness_error: 1.08949529599719
	magnetosphere_extent_error: 1.57035027939629
	atmospheric_depth_error: 6.36474665638783
	tidal_distortion_error: 0.0634744042902334
	core_density_error: 0.0962756459339536
	ring_system_complexity_error: 0.104928547116597
	impact_crater_count_error: 0.0871263450398328
	axial_symmetry_error: 0.120830459735946
	cloud_turbulence_error: 0.0551543289325507
	max_orbital_radius: 3.00518743232475
	max_surface_roughness: 516.0
	max_magnetosphere_extent: 4.82671245593533
	max_atmospheric_depth: 7.04838640872188
	max_tidal_distortion: 154.0
	max_core_density: 0.865725911176522
	max_ring_system_complexity: 0.872676498821887
	max_impact_crater_count: 0.909297567629007
	max_axial_symmetry: 336.0
	max_cloud_turbulence: 350.0


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: 2.68375750853317
	mean_surface_roughness: 112.0
	mean_magnetosphere_extent: 4.48164569970259
	mean_atmospheric_depth: 6.35662835844262
	mean_tidal_distortion: 258.0
	mean_core_density: 0.937822376441902
	mean_ring_system_complexity: 0.955064228069338
	mean_impact_crater_count: 0.964031967300036
	mean_axial_symmetry: 222.5
	mean_cloud_turbulence: 99.0
	orbital_radius_error: 0.56938563381947
	surface_roughness_error: 0.813142054010245
	magnetosphere_extent_error: 1.41279864099595
	atmospheric_depth_error: 5.21440312979348
	tidal_distortion_error: 0.0804363102087608
	core_density_error: 0.111713920350152
	ring_system_complexity_error: 0.134536240470737
	impact_crater_count_error: 0.105023806824929
	axial_symmetry_error: 0.137767920794356
	cloud_turbulence_error: 0.0423556371690947
	max_orbital_radius: 2.76316950032329
	max_surface_roughness: 80.0
	max_magnetosphere_extent: 4.55503411649429
	max_atmospheric_depth: 6.52854254201804
	max_tidal_distortion: 243.5
	max_core_density: 0.885661146045523
	max_ring_system_complexity: 0.867077083152692
	max_impact_crater_count: 0.915566460969402
	max_axial_symmetry: 155.5
	max_cloud_turbulence: 50.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.63116915676625
	mean_surface_roughness: 31.0
	mean_magnetosphere_extent: 4.41751442760344
	mean_atmospheric_depth: 6.24784943220199
	mean_tidal_distortion: 10.0
	mean_core_density: 0.964050554811094
	mean_ring_system_complexity: 0.977899471934285
	mean_impact_crater_count: 0.988425536962173
	mean_axial_symmetry: 9.0
	mean_cloud_turbulence: 71.5
	orbital_radius_error: 0.391407715815619
	surface_roughness_error: 0.684835746730557
	magnetosphere_extent_error: 1.05593560409714
	atmospheric_depth_error: 3.56089876295297
	tidal_distortion_error: 0.0687822651560706
	core_density_error: 0.115974135047432
	ring_system_complexity_error: 0.128530152104477
	impact_crater_count_error: 0.0768439978137525
	axial_symmetry_error: 0.12723993083934
	cloud_turbulence_error: 0.0456179789118282
	max_orbital_radius: 2.68239045432163
	max_surface_roughness: 9.0
	max_magnetosphere_extent: 4.4818719696436
	max_atmospheric_depth: 6.35957386867238
	max_tidal_distortion: 30.0
	max_core_density: 0.897102359379205
	max_ring_system_complexity: 0.893974611121044
	max_impact_crater_count: 0.949072755917469
	max_axial_symmetry: 75.0
	max_cloud_turbulence: 103.5


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +284
Actual -331

Accuracy 0.894, Precision 0.903, Recall 0.875, F1 0.889