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: 2.62249231274056
	mean_surface_roughness: 457.0
	mean_magnetosphere_extent: 4.41546141076012
	mean_atmospheric_depth: 6.22910254457264
	mean_tidal_distortion: 207.0
	mean_core_density: 0.94552812473407
	mean_ring_system_complexity: 0.955009502344548
	mean_impact_crater_count: 0.973671911512697
	mean_axial_symmetry: 112.0
	mean_cloud_turbulence: 240.0
	orbital_radius_error: 0.486518242206806
	surface_roughness_error: 1.17473401244707
	magnetosphere_extent_error: 1.20706255016051
	atmospheric_depth_error: 4.45757781760453
	tidal_distortion_error: 0.086596766683289
	core_density_error: 0.109635760589326
	ring_system_complexity_error: 0.152708873350569
	impact_crater_count_error: 0.0944457516249408
	axial_symmetry_error: 0.128335497817245
	cloud_turbulence_error: 0.0512737749731771
	max_orbital_radius: 2.74019465442878
	max_surface_roughness: 507.0
	max_magnetosphere_extent: 4.53302950821041
	max_atmospheric_depth: 6.48402436206708
	max_tidal_distortion: 393.0
	max_core_density: 0.867829558274755
	max_ring_system_complexity: 0.821220333415455
	max_impact_crater_count: 0.914653666389222
	max_axial_symmetry: 291.5
	max_cloud_turbulence: 297.0


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: 2.58926666511224
	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


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: 3.22882615572137
	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: 2.62249231274056
	mean_surface_roughness: 457.0
	mean_magnetosphere_extent: 4.41546141076012
	mean_atmospheric_depth: 6.22910254457264
	mean_tidal_distortion: 207.0
	mean_core_density: 0.94552812473407
	mean_ring_system_complexity: 0.955009502344548
	mean_impact_crater_count: 0.973671911512697
	mean_axial_symmetry: 112.0
	mean_cloud_turbulence: 240.0
	orbital_radius_error: 0.486518242206806
	surface_roughness_error: 1.17473401244707
	magnetosphere_extent_error: 1.20706255016051
	atmospheric_depth_error: 4.45757781760453
	tidal_distortion_error: 0.086596766683289
	core_density_error: 0.109635760589326
	ring_system_complexity_error: 0.152708873350569
	impact_crater_count_error: 0.0944457516249408
	axial_symmetry_error: 0.128335497817245
	cloud_turbulence_error: 0.0512737749731771
	max_orbital_radius: 2.74019465442878
	max_surface_roughness: 507.0
	max_magnetosphere_extent: 4.53302950821041
	max_atmospheric_depth: 6.48402436206708
	max_tidal_distortion: 393.0
	max_core_density: 0.867829558274755
	max_ring_system_complexity: 0.821220333415455
	max_impact_crater_count: 0.914653666389222
	max_axial_symmetry: 291.5
	max_cloud_turbulence: 297.0


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: 2.52011290552262
	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


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  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


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: 2.97705900828837
	mean_surface_roughness: 515.0
	mean_magnetosphere_extent: 4.83469334426634
	mean_atmospheric_depth: 6.99301512293296
	mean_tidal_distortion: 440.0
	mean_core_density: 0.84125515268781
	mean_ring_system_complexity: 0.811754200827989
	mean_impact_crater_count: 0.889363215937389
	mean_axial_symmetry: 522.0
	mean_cloud_turbulence: 300.0
	orbital_radius_error: 0.911427451857799
	surface_roughness_error: 1.21078486941322
	magnetosphere_extent_error: 2.36093201935168
	atmospheric_depth_error: 10.2469507659596
	tidal_distortion_error: 0.079044291381478
	core_density_error: 0.183684512139701
	ring_system_complexity_error: 0.227947362344906
	impact_crater_count_error: 0.107610408418517
	axial_symmetry_error: 0.141668627437411
	cloud_turbulence_error: 0.0675277720645365
	max_orbital_radius: 3.18428438009858
	max_surface_roughness: 517.5
	max_magnetosphere_extent: 5.08450514266271
	max_atmospheric_depth: 7.42117752859539
	max_tidal_distortion: 446.0
	max_core_density: 0.701409833765869
	max_ring_system_complexity: 0.619847517510692
	max_impact_crater_count: 0.844024307900067
	max_axial_symmetry: 492.0
	max_cloud_turbulence: 466.0


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: 2.82435065679837
	mean_surface_roughness: 489.5
	mean_magnetosphere_extent: 4.65109911787649
	mean_atmospheric_depth: 6.66402629405882
	mean_tidal_distortion: 112.0
	mean_core_density: 0.90892564988184
	mean_ring_system_complexity: 0.909603594753406
	mean_impact_crater_count: 0.949090771041342
	mean_axial_symmetry: 333.5
	mean_cloud_turbulence: 23.0
	orbital_radius_error: 0.635059052372297
	surface_roughness_error: 1.03826778819339
	magnetosphere_extent_error: 1.70381923923872
	atmospheric_depth_error: 6.04814021001498
	tidal_distortion_error: 0.0988382517044894
	core_density_error: 0.176804977305505
	ring_system_complexity_error: 0.224744299149055
	impact_crater_count_error: 0.141138230115019
	axial_symmetry_error: 0.172655726809162
	cloud_turbulence_error: 0.0547905101272109
	max_orbital_radius: 2.88144312715186
	max_surface_roughness: 368.5
	max_magnetosphere_extent: 4.72738781871234
	max_atmospheric_depth: 6.77707695534002
	max_tidal_distortion: 118.0
	max_core_density: 0.838644750083865
	max_ring_system_complexity: 0.811556565492615
	max_impact_crater_count: 0.899361453368109
	max_axial_symmetry: 279.0
	max_cloud_turbulence: 31.0


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: 2.61227324570844
	mean_surface_roughness: 381.5
	mean_magnetosphere_extent: 4.42064620563894
	mean_atmospheric_depth: 6.17669852534897
	mean_tidal_distortion: 341.0
	mean_core_density: 0.892140244446427
	mean_ring_system_complexity: 0.903750564844103
	mean_impact_crater_count: 0.943209364182568
	mean_axial_symmetry: 244.0
	mean_cloud_turbulence: 500.0
	orbital_radius_error: 0.585149553533112
	surface_roughness_error: 1.34275835502893
	magnetosphere_extent_error: 1.64651146367099
	atmospheric_depth_error: 4.5254833995939
	tidal_distortion_error: 0.113622180933126
	core_density_error: 0.201047258126044
	ring_system_complexity_error: 0.225853935099657
	impact_crater_count_error: 0.151492574075431
	axial_symmetry_error: 0.146424041741785
	cloud_turbulence_error: 0.0767528501099471
	max_orbital_radius: 2.66235524184008
	max_surface_roughness: 289.5
	max_magnetosphere_extent: 4.49980967033027
	max_atmospheric_depth: 6.26985357264817
	max_tidal_distortion: 252.5
	max_core_density: 0.816326530612245
	max_ring_system_complexity: 0.818598559266536
	max_impact_crater_count: 0.90049527239982
	max_axial_symmetry: 46.0
	max_cloud_turbulence: 357.0


Examples for Correctly predicted Qtharri: (Correct answer: Qtharri, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 2.52172062291072
	mean_surface_roughness: 387.0
	mean_magnetosphere_extent: 4.31495156588431
	mean_atmospheric_depth: 5.99769509685862
	mean_tidal_distortion: 485.0
	mean_core_density: 0.914394396591138
	mean_ring_system_complexity: 0.956105209817288
	mean_impact_crater_count: 0.978157737716784
	mean_axial_symmetry: 328.5
	mean_cloud_turbulence: 492.5
	orbital_radius_error: 0.570175411605937
	surface_roughness_error: 1.47444904964532
	magnetosphere_extent_error: 1.44118007202431
	atmospheric_depth_error: 4.96185449202211
	tidal_distortion_error: 0.101833196944808
	core_density_error: 0.130613934938046
	ring_system_complexity_error: 0.160810447421802
	impact_crater_count_error: 0.0866371744691619
	axial_symmetry_error: 0.134759044223384
	cloud_turbulence_error: 0.0630555310817378
	max_orbital_radius: 2.64688376586472
	max_surface_roughness: 490.0
	max_magnetosphere_extent: 4.44886719159269
	max_atmospheric_depth: 6.26549130873676
	max_tidal_distortion: 495.0
	max_core_density: 0.856457690990065
	max_ring_system_complexity: 0.850701829008932
	max_impact_crater_count: 0.942267283537648
	max_axial_symmetry: 258.0
	max_cloud_turbulence: 395.0


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +284
Actual -331

Accuracy 0.894, Precision 0.903, Recall 0.875, F1 0.889