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: 3.0248055210397
	mean_surface_roughness: 240.0
	mean_magnetosphere_extent: 4.88052660874924
	mean_atmospheric_depth: 7.10249935577465
	mean_tidal_distortion: 492.5
	mean_core_density: 0.857191839533688
	mean_ring_system_complexity: 0.799488327470419
	mean_impact_crater_count: 0.886053517632465
	mean_axial_symmetry: 465.5
	mean_cloud_turbulence: 250.5
	orbital_radius_error: 0.858137518116997
	surface_roughness_error: 1.02371871136558
	magnetosphere_extent_error: 2.18906372680194
	atmospheric_depth_error: 9.85241087247177
	tidal_distortion_error: 0.0636945837571767
	core_density_error: 0.150897316079511
	ring_system_complexity_error: 0.200723690679501
	impact_crater_count_error: 0.114149025401008
	axial_symmetry_error: 0.129846062705035
	cloud_turbulence_error: 0.0576020832956587
	max_orbital_radius: 3.32251485962769
	max_surface_roughness: 330.0
	max_magnetosphere_extent: 5.16991565174351
	max_atmospheric_depth: 7.71110125184016
	max_tidal_distortion: 413.0
	max_core_density: 0.722230247002744
	max_ring_system_complexity: 0.594883997620464
	max_impact_crater_count: 0.816526496284805
	max_axial_symmetry: 517.0
	max_cloud_turbulence: 433.0


Examples for Falsely predicted Qtharri when it should have been Fylaran: (Correct answer: Fylaran, What the previous set of rules predicted: Qtharri)
  Entity Data:
	mean_orbital_radius: 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: 2.63116915676625
	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


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: 3.11839228628988
	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: 2.8100049236252
	mean_surface_roughness: 314.0
	mean_magnetosphere_extent: 4.61512051684126
	mean_atmospheric_depth: 6.63279197893813
	mean_tidal_distortion: 48.0
	mean_core_density: 0.94682623844872
	mean_ring_system_complexity: 0.959610014490111
	mean_impact_crater_count: 0.972318103590771
	mean_axial_symmetry: 87.0
	mean_cloud_turbulence: 37.0
	orbital_radius_error: 0.479374592568275
	surface_roughness_error: 0.999399819891919
	magnetosphere_extent_error: 1.23854753643128
	atmospheric_depth_error: 4.70956473572665
	tidal_distortion_error: 0.053160135440008
	core_density_error: 0.095420123663722
	ring_system_complexity_error: 0.114498908291739
	impact_crater_count_error: 0.0719305220334178
	axial_symmetry_error: 0.100647901120689
	cloud_turbulence_error: 0.0366742416417845
	max_orbital_radius: 2.93969088267037
	max_surface_roughness: 473.0
	max_magnetosphere_extent: 4.76131886847802
	max_atmospheric_depth: 6.89730082107828
	max_tidal_distortion: 84.0
	max_core_density: 0.846955196070128
	max_ring_system_complexity: 0.815660685154976
	max_impact_crater_count: 0.921081718370054
	max_axial_symmetry: 220.0
	max_cloud_turbulence: 94.0


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: 2.53686638871871
	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


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


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: 2.69462718077007
	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: 2.62249231274056
	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: 2.64262239577975
	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: 2.58926666511224
	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


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +284
Actual -331

Accuracy 0.894, Precision 0.903, Recall 0.875, F1 0.889