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Adam 2022-08-01 11:39:46 -04:00
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commit 429e9c38f0
18 changed files with 2330 additions and 252 deletions
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.gitignore vendored
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.ipynb_checkpoints .ipynb_checkpoints
*/.ipynb_checkpoints */.ipynb_checkpoints
Untitled.ipynb

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data/X_engineered.csv Normal file
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horsepower,bore_size,grunt,load
130.0,38.375,1.4344979787583954,0.08761415525114155
165.0,43.75,1.7779591836734694,0.09477389656106147
150.0,39.75,1.7799928800284799,0.09254947613504075
150.0,38.0,1.9477146814404431,0.08855228662976988
140.0,37.75,1.7192228411034602,0.08756161206146709
198.0,53.625,1.7041420118343198,0.09882515549412578
220.0,56.75,1.878553824060238,0.10427193385392743
215.0,55.0,1.9101239669421488,0.10204081632653061
225.0,56.875,1.9562854727689893,0.10282485875706214
190.0,48.75,1.898750821827745,0.1012987012987013
170.0,47.875,1.5761236357191064,0.10749368509682851
160.0,42.5,1.7716262975778547,0.0942089221390967
150.0,50.0,1.125,0.10635469290082425
225.0,56.875,1.9562854727689893,0.091
95.0,28.25,2.827159526979403,0.047639123102866776
95.0,33.0,1.3812366085093357,0.06989057536180728
97.0,33.166666666666664,1.4255700613620867,0.07173756308579668
85.0,33.333333333333336,1.08375,0.07730962504831851
88.0,24.25,3.2921670740780105,0.045539906103286384
46.0,24.25,0.8995642469975554,0.05286103542234333
87.0,27.5,2.5021487603305785,0.04116766467065868
90.0,26.75,2.8299414796052056,0.044032921810699586
95.0,26.0,3.3376479289940826,0.043789473684210524
113.0,30.25,3.488559524622635,0.05416293643688451
90.0,33.166666666666664,1.22724173631979,0.07515105740181269
215.0,45.0,2.8533950617283947,0.0780065005417118
200.0,38.375,3.3952614881855507,0.07015539305301645
210.0,39.75,3.48878604485582,0.07256960292104062
193.0,38.0,3.2244632963988913,0.06424344885883347
88.0,24.25,3.2921670740780105,0.045539906103286384
90.0,35.0,1.6530612244897962,0.061837455830388695
95.0,28.25,2.827159526979403,0.050718132854578095
75.0,24.5,2.3427738442315698,0.047898338220918865
100.0,38.666666666666664,1.11474435196195,0.08807896735003796
105.0,37.5,1.3066666666666666,0.06542599592904914
100.0,41.666666666666664,0.9600000000000002,0.07509762691498949
88.0,41.666666666666664,0.743424,0.07571168988491823
100.0,38.666666666666664,1.11474435196195,0.0705596107055961
165.0,43.75,1.7779591836734694,0.08315514373960561
175.0,50.0,1.53125,0.08960573476702509
153.0,43.875,1.520052596975674,0.08449687048627828
150.0,39.75,1.7799928800284799,0.07763671875
180.0,47.875,1.7670036608061956,0.07729566094853683
170.0,50.0,1.4449999999999998,0.08428150021070376
175.0,50.0,1.53125,0.07782101167315175
110.0,43.0,1.09067964665585,0.08710330857528698
72.0,35.0,1.0579591836734692,0.05813953488372093
100.0,41.666666666666664,0.9600000000000002,0.07617306520414381
88.0,41.666666666666664,0.743424,0.07964319847085059
86.0,30.5,1.987637731792529,0.054954954954954956
90.0,29.0,2.4078478002378123,0.054639660857277436
70.0,19.75,3.140522352187149,0.038090646094503376
76.0,22.0,2.9834710743801653,0.04261501210653753
65.0,17.75,3.3525094227335845,0.04004512126339538
69.0,18.0,3.6736111111111116,0.044637321760694355
60.0,24.25,1.5304495695610587,0.05288985823336968
70.0,22.75,2.366863905325444,0.046547314578005115
95.0,28.25,2.827159526979403,0.04960491659350307
80.0,24.375,2.6929651545036157,0.04586077140169332
54.0,24.25,1.2396641513444575,0.04303460514640639
90.0,35.0,1.6530612244897962,0.05813953488372093
86.0,30.5,1.987637731792529,0.05480682839173405
165.0,43.75,1.7779591836734694,0.08189050070191858
175.0,50.0,1.53125,0.09122006841505131
150.0,39.75,1.7799928800284799,0.07690447400241839
153.0,43.875,1.520052596975674,0.08500847662872366
150.0,38.0,1.9477146814404431,0.08278867102396514
208.0,53.625,1.8806244260789717,0.09259658968271099
155.0,43.75,1.5689795918367346,0.07774322523322967
160.0,43.75,1.6718367346938774,0.07854578096947935
190.0,50.0,1.805,0.09045680687471733
97.0,23.333333333333332,5.76061224489796,0.030042918454935622
150.0,38.0,1.9477146814404431,0.07810894141829394
130.0,38.375,1.4344979787583954,0.0749145924841386
140.0,37.75,1.7192228411034602,0.0703306939916162
150.0,39.75,1.7799928800284799,0.07799852832965416
112.0,30.25,3.427088313639779,0.04125468803273099
76.0,30.25,1.5780342872754594,0.04818797291915571
87.0,30.0,2.1025,0.04028197381671702
69.0,24.0,2.06640625,0.0438556418455916
86.0,30.5,1.987637731792529,0.05093945720250522
92.0,24.25,3.5982569879902218,0.042395104895104896
97.0,30.0,2.613611111111111,0.047885075818036714
80.0,24.5,2.665556018325698,0.04528650646950092
88.0,24.25,3.2921670740780105,0.04619047619047619
175.0,43.75,2.0,0.08536585365853659
150.0,38.0,1.9477146814404431,0.08278867102396514
145.0,43.75,1.3730612244897962,0.08776328986960882
137.0,37.75,1.6463313012587166,0.07471548738248392
150.0,39.75,1.7799928800284799,0.08419380460683082
198.0,53.625,1.7041420118343198,0.08663166397415185
150.0,50.0,1.125,0.08960573476702509
158.0,43.875,1.6210258033619855,0.08044923217969287
150.0,39.75,1.7799928800284799,0.07505310361104556
215.0,55.0,1.9101239669421488,0.09292502639915523
225.0,56.875,1.9562854727689893,0.09190062613613412
175.0,45.0,1.890432098765432,0.0942161737764983
105.0,37.5,1.3066666666666666,0.07209227811598846
100.0,41.666666666666664,0.9600000000000002,0.0762660158633313
100.0,38.666666666666664,1.11474435196195,0.07877758913412564
88.0,41.666666666666664,0.743424,0.08275405494869248
95.0,33.0,1.3812366085093357,0.06818181818181818
46.0,24.25,0.8995642469975554,0.04974358974358974
150.0,50.0,1.125,0.08004802881729037
167.0,50.0,1.39445,0.08153281695882593
170.0,45.0,1.7839506172839505,0.07735281478298238
180.0,43.75,2.1159183673469384,0.07779506557012669
100.0,38.666666666666664,1.11474435196195,0.08318393689494442
88.0,24.25,3.2921670740780105,0.04256252742430891
72.0,35.0,1.0579591836734692,0.05830903790087463
94.0,27.0,3.0301783264746227,0.04539722572509458
90.0,23.333333333333332,4.959183673469388,0.03295668549905838
85.0,30.5,1.9416823434560602,0.05281385281385281
107.0,25.833333333333332,2.8592715920915714,0.06270226537216829
90.0,24.5,3.3735943356934612,0.04326710816777042
145.0,43.75,1.3730612244897962,0.08574228319451249
230.0,50.0,2.6449999999999996,0.09350163627863488
49.0,17.0,2.0769896193771626,0.03642206748794858
75.0,29.0,1.672116527942925,0.05375347544022243
91.0,28.5,2.5487842413050172,0.044151820294345466
112.0,30.25,3.427088313639779,0.04218967921896792
150.0,39.75,1.7799928800284799,0.09355692850838482
110.0,30.25,3.305785123966942,0.04548872180451128
122.0,26.0,3.6696252465483234,0.055575347345920914
180.0,43.75,2.1159183673469384,0.09552401746724891
95.0,33.0,1.3812366085093357,0.06382978723404255
85.0,33.333333333333336,1.08375,0.06956521739130435
100.0,38.666666666666664,1.11474435196195,0.07997242330230955
100.0,41.666666666666664,0.9600000000000002,0.0749400479616307
67.0,19.75,2.8771030283608394,0.04051282051282051
80.0,30.5,1.719967750604676,0.049775601795185635
65.0,17.75,3.3525094227335845,0.03867102396514161
75.0,35.0,1.1479591836734693,0.05507474429583006
100.0,41.666666666666664,0.9600000000000002,0.06612007405448295
110.0,43.0,1.09067964665585,0.0710352422907489
105.0,37.5,1.3066666666666666,0.06227511763077775
140.0,37.75,1.7192228411034602,0.07292924414392658
150.0,43.75,1.4693877551020407,0.07448393275164929
150.0,39.75,1.7799928800284799,0.0713484406551492
140.0,37.75,1.7192228411034602,0.06511427339370418
150.0,38.0,1.9477146814404431,0.0714117923420249
83.0,24.5,2.869221157850896,0.04416403785488959
67.0,19.75,2.8771030283608394,0.040244523688232295
78.0,24.25,2.586459772558189,0.04217391304347826
52.0,19.0,1.8725761772853187,0.04608853850818678
61.0,20.75,2.160545797648425,0.04143784323514728
75.0,22.5,2.777777777777778,0.042352941176470586
75.0,22.5,2.777777777777778,0.04269449715370019
75.0,29.0,1.672116527942925,0.051647373107747106
97.0,30.0,2.613611111111111,0.04821213338690237
93.0,27.0,2.96604938271605,0.0451693851944793
67.0,19.75,2.8771030283608394,0.0395
95.0,37.5,1.0696296296296295,0.06893382352941177
105.0,41.666666666666664,1.0584,0.07227522405319456
72.0,41.666666666666664,0.497664,0.07284382284382285
72.0,41.666666666666664,0.497664,0.07916402786573781
170.0,50.0,1.4449999999999998,0.0856898029134533
145.0,43.75,1.3730612244897962,0.07882882882882883
150.0,39.75,1.7799928800284799,0.0706980880391285
148.0,43.875,1.4223261174828128,0.07537041013528023
110.0,38.5,1.3605442176870748,0.05912464806757103
105.0,41.666666666666664,1.0584,0.06415191172696946
110.0,43.0,1.09067964665585,0.06916890080428954
95.0,37.5,1.0696296296296295,0.059445178335535004
110.0,38.5,1.3605442176870748,0.07601184600197433
110.0,32.75,1.4101742322708466,0.08134119838559453
129.0,37.75,1.4596728213674839,0.09529820132533923
75.0,24.25,2.391327452439154,0.04467987102717642
83.0,35.0,1.4059183673469389,0.05305039787798409
100.0,38.666666666666664,1.11474435196195,0.07961564859299931
78.0,35.0,1.2416326530612245,0.05401234567901234
96.0,33.5,2.0530184896413455,0.049592894152479645
71.0,22.5,2.4893827160493824,0.04048582995951417
97.0,29.75,2.6577219122943294,0.04675834970530452
97.0,28.5,1.9306453267672106,0.05730563002680965
70.0,22.5,2.419753086419753,0.04646360351058337
90.0,38.666666666666664,0.9029429250891796,0.07225163500467144
95.0,28.75,2.7296786389413987,0.042687453600593915
88.0,30.0,2.1511111111111108,0.040581670612106865
98.0,30.25,2.6238644901304555,0.04108658743633277
115.0,30.25,3.613141178881224,0.04530138524897042
53.0,22.75,1.3568409612365657,0.050696378830083565
86.0,26.75,2.5839811337234693,0.04342532467532467
81.0,29.0,1.9503567181926278,0.05225225225225225
92.0,35.0,1.7273469387755103,0.05443234836702955
79.0,24.5,2.599333610995419,0.043458980044345896
83.0,25.25,2.7013037937457107,0.04586739327883742
140.0,38.125,1.6855683955925826,0.07236061684460261
150.0,39.75,1.7799928800284799,0.07589498806682578
120.0,38.0,1.2465373961218837,0.0767289247854619
152.0,43.875,1.5002475629256256,0.08327402135231317
100.0,37.5,1.1851851851851851,0.06959480358799876
105.0,41.666666666666664,1.0584,0.07456009543692216
81.0,33.333333333333336,0.98415,0.06640106241699867
90.0,38.666666666666664,0.9029429250891796,0.07520259319286872
52.0,21.25,1.4970242214532874,0.04176904176904177
60.0,24.5,1.499375260308205,0.04528650646950092
70.0,22.5,2.419753086419753,0.04646360351058337
53.0,22.75,1.3568409612365657,0.050696378830083565
100.0,37.5,1.1851851851851851,0.06162695152013147
78.0,41.666666666666664,0.584064,0.06994963626189143
110.0,41.666666666666664,1.1616,0.06858710562414266
95.0,43.0,0.8135027943032269,0.08080175383651739
71.0,24.25,2.143054522265915,0.05315068493150685
70.0,21.25,2.71280276816609,0.04271356783919598
75.0,24.25,2.391327452439154,0.04501160092807425
72.0,35.0,1.0579591836734692,0.05458089668615984
102.0,32.5,2.462485207100592,0.04126984126984127
150.0,39.75,1.7799928800284799,0.08071065989847716
88.0,30.0,2.1511111111111108,0.03669724770642202
108.0,26.0,2.8757396449704142,0.05324232081911263
120.0,28.0,3.061224489795918,0.04397905759162304
180.0,43.75,2.1159183673469384,0.07990867579908675
145.0,43.75,1.3730612244897962,0.08631319358816276
130.0,37.75,1.482391123196351,0.07803617571059432
150.0,39.75,1.7799928800284799,0.08468708388814913
68.0,24.5,1.9258642232403165,0.04792176039119805
80.0,27.75,2.07775342910478,0.051508120649651976
58.0,19.75,2.156064733215831,0.04328767123287671
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110.0,41.666666666666664,1.1616,0.07102272727272728
105.0,38.5,1.2396694214876032,0.06744525547445256
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180.0,50.0,1.62,0.0947867298578199
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110.0,26.666666666666668,5.671875,0.029411764705882353
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66.0,24.5,1.814244064972928,0.05444444444444444
52.0,19.5,1.7777777777777777,0.03929471032745592
70.0,21.25,2.71280276816609,0.04106280193236715
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140.0,39.75,1.550571575491476,0.08514056224899598
139.0,37.75,1.6947502302530593,0.08459383753501401
105.0,38.5,1.2396694214876032,0.06534653465346535
95.0,33.333333333333336,1.3537499999999998,0.06339144215530904
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88.0,35.0,1.580408163265306,0.051470588235294115
100.0,37.5,1.1851851851851851,0.06559766763848396
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105.0,38.5,1.2396694214876032,0.0683431952662722
85.0,33.333333333333336,1.08375,0.06514657980456026
110.0,37.5,1.4340740740740738,0.062154696132596686
120.0,43.0,1.2979989183342346,0.07565982404692081
145.0,38.125,1.8081160978231656,0.08905109489051095
165.0,38.5,3.061224489795918,0.06705370101596517
139.0,37.75,1.6947502302530593,0.09422776911076443
140.0,39.75,1.550571575491476,0.07794117647058824
68.0,24.5,1.9258642232403165,0.045475638051044084
95.0,33.5,2.01047003787035,0.05234375
97.0,29.75,2.6577219122943294,0.05173913043478261
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105.0,39.0,1.812130177514793,0.05683060109289618
85.0,37.75,1.2674882680584185,0.05288966725043783
97.0,29.75,2.6577219122943294,0.04948024948024948
103.0,26.2,3.091020336810209,0.04628975265017668
125.0,27.166666666666668,3.5285483081787046,0.05191082802547771
115.0,30.25,3.613141178881224,0.04329159212880143
133.0,27.166666666666668,3.9946554254958784,0.04780058651026393
71.0,22.25,2.5456381769978536,0.04472361809045226
68.0,24.5,1.9258642232403165,0.04590163934426229
115.0,38.5,1.4870410974307078,0.0711864406779661
85.0,33.333333333333336,1.08375,0.06688963210702341
88.0,35.0,1.580408163265306,0.04844290657439446
90.0,38.666666666666664,0.9029429250891796,0.07105666156202144
110.0,37.5,1.4340740740740738,0.06696428571428571
130.0,38.125,1.4533727492609512,0.07942708333333333
129.0,37.75,1.4596728213674839,0.0810738255033557
138.0,43.875,1.2366133391774417,0.08874841972187104
135.0,39.75,1.4417942328230688,0.08302872062663186
155.0,43.75,1.5689795918367346,0.08027522935779817
142.0,43.875,1.309340021590734,0.0865811544153922
125.0,33.375,1.753426194784609,0.07406380027739251
150.0,45.0,1.388888888888889,0.09137055837563451
71.0,22.25,2.5456381769978536,0.04623376623376623
65.0,21.5,2.285018929150892,0.043544303797468355
80.0,24.5,2.665556018325698,0.05117493472584857
80.0,30.25,1.7485144457345811,0.04531835205992509
77.0,36.6,0.8852160410881185,0.05184135977337111
125.0,43.75,1.0204081632653061,0.08974358974358974
71.0,35.25,1.0142346964438407,0.044200626959247646
90.0,32.5,0.9585798816568046,0.07602339181286549
70.0,26.25,1.7777777777777777,0.04772727272727273
70.0,26.25,1.7777777777777777,0.04883720930232558
65.0,21.25,2.339100346020761,0.04207920792079208
69.0,22.75,2.299722255766212,0.042723004694835684
90.0,37.75,1.4209903074426562,0.05655430711610487
115.0,28.833333333333332,2.6512746834174212,0.06666666666666667
115.0,28.833333333333332,2.6512746834174212,0.06407407407407407
90.0,37.75,1.4209903074426562,0.059076682316118935
76.0,24.5,2.405664306538942,0.0457089552238806
60.0,22.25,1.8179522787526827,0.04522357723577236
70.0,24.5,2.0408163265306123,0.04622641509433962
65.0,21.5,2.285018929150892,0.04259534422981674
90.0,37.75,1.4209903074426562,0.05638536221060493
88.0,35.0,1.580408163265306,0.04878048780487805
90.0,37.75,1.4209903074426562,0.05028305028305028
90.0,37.5,0.96,0.06654835847382432
78.0,24.25,2.586459772558189,0.0443327239488117
90.0,33.5,1.804410781911339,0.04942825525636296
75.0,30.0,1.5625,0.04720692368214005
92.0,29.75,2.3907916107619522,0.04889071487263763
75.0,27.0,1.9290123456790123,0.04768211920529802
65.0,21.5,2.285018929150892,0.04075829383886256
105.0,39.0,1.812130177514793,0.055714285714285716
65.0,21.25,2.339100346020761,0.04028436018957346
48.0,22.5,1.1377777777777778,0.04316546762589928
48.0,22.5,1.1377777777777778,0.03854389721627409
67.0,24.2,1.5330237005669012,0.04101694915254237
67.0,36.5,0.8423719271908425,0.04492307692307692
67.0,22.75,2.1683371573481467,0.049189189189189186
53.5,21.25,1.584636678200692,0.04632152588555858
67.0,24.25,1.9083855882665532,0.04522144522144522
62.0,22.25,1.941169044312587,0.048238482384823846
132.0,28.0,3.7040816326530615,0.0577319587628866
100.0,23.333333333333332,6.122448979591836,0.028925619834710745
88.0,30.5,2.0811609782316585,0.0488
72.0,26.75,1.8111625469473314,0.046724890829694325
84.0,33.75,1.548641975308642,0.05421686746987952
84.0,37.75,1.2378404455944914,0.05730550284629981
92.0,39.0,1.391190006574622,0.059541984732824425
110.0,28.833333333333332,2.4257409201777542,0.06348623853211009
84.0,33.75,1.548641975308642,0.05660377358490566
58.0,19.75,2.156064733215831,0.045014245014245016
64.0,21.5,2.215251487290427,0.04586666666666667
60.0,20.25,2.194787379972565,0.04602272727272727
67.0,24.25,1.9083855882665532,0.04697336561743341
65.0,21.25,2.339100346020761,0.043037974683544304
62.0,22.25,1.941169044312587,0.04341463414634146
68.0,22.75,2.2335466731071127,0.04584382871536524
63.0,26.25,1.44,0.04740406320541761
65.0,24.5,1.7596834652228237,0.04792176039119805
65.0,24.5,1.7596834652228237,0.041176470588235294
74.0,26.25,1.9867573696145127,0.04794520547945205
81.5,25.0,2.6569,0.04310344827586207
75.0,26.75,1.965237138614726,0.04841628959276018
75.0,27.0,1.9290123456790123,0.04595744680851064
100.0,29.75,2.824659275474896,0.04550669216061185
74.0,30.0,1.5211111111111113,0.04554079696394687
80.0,35.25,1.2876615864393142,0.04365325077399381
76.0,24.166666666666668,1.6483234244946494,0.04588607594936709
116.0,28.0,2.860544217687075,0.057931034482758624
120.0,24.333333333333332,4.053293300806906,0.049829351535836175
110.0,38.5,1.3605442176870748,0.06764275256222547
105.0,43.75,0.72,0.09395973154362416
88.0,33.333333333333336,1.1616,0.06535947712418301
85.0,37.5,0.8562962962962962,0.06493506493506493
88.0,28.0,2.4693877551020407,0.042994241842610366
88.0,28.0,2.4693877551020407,0.04242424242424243
88.0,28.0,2.4693877551020407,0.04676409185803758
85.0,28.0,2.3038903061224487,0.04349514563106796
84.0,33.75,1.548641975308642,0.053465346534653464
90.0,37.75,1.4209903074426562,0.05521023765996344
92.0,35.0,1.7273469387755103,0.04886561954624782
90.0,37.75,1.4209903074426562,0.04975288303130148
74.0,26.25,1.9867573696145127,0.05303030303030303
68.0,22.75,2.2335466731071127,0.044938271604938275
68.0,22.75,2.2335466731071127,0.04619289340101523
63.0,26.25,1.44,0.04941176470588235
70.0,24.5,2.0408163265306123,0.04611764705882353
88.0,30.0,2.1511111111111108,0.05555555555555555
75.0,26.75,1.965237138614726,0.04852607709750567
70.0,27.0,1.680384087791495,0.048106904231625836
67.0,22.75,2.1683371573481467,0.04631043256997455
67.0,22.75,2.1683371573481467,0.04631043256997455
67.0,22.75,2.1683371573481467,0.0456140350877193
110.0,30.166666666666668,2.2160495711364123,0.061460101867572156
85.0,43.666666666666664,0.6315191422411282,0.08689883913764511
92.0,39.0,1.391190006574622,0.06034816247582205
112.0,38.666666666666664,1.3983353151010702,0.0818342151675485
96.0,36.0,1.7777777777777777,0.05403377110694184
84.0,33.75,1.548641975308642,0.056962025316455694
90.0,37.75,1.4209903074426562,0.0511864406779661
86.0,35.0,1.509387755102041,0.05017921146953405
52.0,24.25,1.1495376766925283,0.045539906103286384
84.0,33.75,1.548641975308642,0.058823529411764705
79.0,30.0,1.733611111111111,0.045714285714285714
82.0,29.75,1.89930089682932,0.04375
1 horsepower bore_size grunt load
2 130.0 38.375 1.4344979787583954 0.08761415525114155
3 165.0 43.75 1.7779591836734694 0.09477389656106147
4 150.0 39.75 1.7799928800284799 0.09254947613504075
5 150.0 38.0 1.9477146814404431 0.08855228662976988
6 140.0 37.75 1.7192228411034602 0.08756161206146709
7 198.0 53.625 1.7041420118343198 0.09882515549412578
8 220.0 56.75 1.878553824060238 0.10427193385392743
9 215.0 55.0 1.9101239669421488 0.10204081632653061
10 225.0 56.875 1.9562854727689893 0.10282485875706214
11 190.0 48.75 1.898750821827745 0.1012987012987013
12 170.0 47.875 1.5761236357191064 0.10749368509682851
13 160.0 42.5 1.7716262975778547 0.0942089221390967
14 150.0 50.0 1.125 0.10635469290082425
15 225.0 56.875 1.9562854727689893 0.091
16 95.0 28.25 2.827159526979403 0.047639123102866776
17 95.0 33.0 1.3812366085093357 0.06989057536180728
18 97.0 33.166666666666664 1.4255700613620867 0.07173756308579668
19 85.0 33.333333333333336 1.08375 0.07730962504831851
20 88.0 24.25 3.2921670740780105 0.045539906103286384
21 46.0 24.25 0.8995642469975554 0.05286103542234333
22 87.0 27.5 2.5021487603305785 0.04116766467065868
23 90.0 26.75 2.8299414796052056 0.044032921810699586
24 95.0 26.0 3.3376479289940826 0.043789473684210524
25 113.0 30.25 3.488559524622635 0.05416293643688451
26 90.0 33.166666666666664 1.22724173631979 0.07515105740181269
27 215.0 45.0 2.8533950617283947 0.0780065005417118
28 200.0 38.375 3.3952614881855507 0.07015539305301645
29 210.0 39.75 3.48878604485582 0.07256960292104062
30 193.0 38.0 3.2244632963988913 0.06424344885883347
31 88.0 24.25 3.2921670740780105 0.045539906103286384
32 90.0 35.0 1.6530612244897962 0.061837455830388695
33 95.0 28.25 2.827159526979403 0.050718132854578095
34 75.0 24.5 2.3427738442315698 0.047898338220918865
35 100.0 38.666666666666664 1.11474435196195 0.08807896735003796
36 105.0 37.5 1.3066666666666666 0.06542599592904914
37 100.0 41.666666666666664 0.9600000000000002 0.07509762691498949
38 88.0 41.666666666666664 0.743424 0.07571168988491823
39 100.0 38.666666666666664 1.11474435196195 0.0705596107055961
40 165.0 43.75 1.7779591836734694 0.08315514373960561
41 175.0 50.0 1.53125 0.08960573476702509
42 153.0 43.875 1.520052596975674 0.08449687048627828
43 150.0 39.75 1.7799928800284799 0.07763671875
44 180.0 47.875 1.7670036608061956 0.07729566094853683
45 170.0 50.0 1.4449999999999998 0.08428150021070376
46 175.0 50.0 1.53125 0.07782101167315175
47 110.0 43.0 1.09067964665585 0.08710330857528698
48 72.0 35.0 1.0579591836734692 0.05813953488372093
49 100.0 41.666666666666664 0.9600000000000002 0.07617306520414381
50 88.0 41.666666666666664 0.743424 0.07964319847085059
51 86.0 30.5 1.987637731792529 0.054954954954954956
52 90.0 29.0 2.4078478002378123 0.054639660857277436
53 70.0 19.75 3.140522352187149 0.038090646094503376
54 76.0 22.0 2.9834710743801653 0.04261501210653753
55 65.0 17.75 3.3525094227335845 0.04004512126339538
56 69.0 18.0 3.6736111111111116 0.044637321760694355
57 60.0 24.25 1.5304495695610587 0.05288985823336968
58 70.0 22.75 2.366863905325444 0.046547314578005115
59 95.0 28.25 2.827159526979403 0.04960491659350307
60 80.0 24.375 2.6929651545036157 0.04586077140169332
61 54.0 24.25 1.2396641513444575 0.04303460514640639
62 90.0 35.0 1.6530612244897962 0.05813953488372093
63 86.0 30.5 1.987637731792529 0.05480682839173405
64 165.0 43.75 1.7779591836734694 0.08189050070191858
65 175.0 50.0 1.53125 0.09122006841505131
66 150.0 39.75 1.7799928800284799 0.07690447400241839
67 153.0 43.875 1.520052596975674 0.08500847662872366
68 150.0 38.0 1.9477146814404431 0.08278867102396514
69 208.0 53.625 1.8806244260789717 0.09259658968271099
70 155.0 43.75 1.5689795918367346 0.07774322523322967
71 160.0 43.75 1.6718367346938774 0.07854578096947935
72 190.0 50.0 1.805 0.09045680687471733
73 97.0 23.333333333333332 5.76061224489796 0.030042918454935622
74 150.0 38.0 1.9477146814404431 0.07810894141829394
75 130.0 38.375 1.4344979787583954 0.0749145924841386
76 140.0 37.75 1.7192228411034602 0.0703306939916162
77 150.0 39.75 1.7799928800284799 0.07799852832965416
78 112.0 30.25 3.427088313639779 0.04125468803273099
79 76.0 30.25 1.5780342872754594 0.04818797291915571
80 87.0 30.0 2.1025 0.04028197381671702
81 69.0 24.0 2.06640625 0.0438556418455916
82 86.0 30.5 1.987637731792529 0.05093945720250522
83 92.0 24.25 3.5982569879902218 0.042395104895104896
84 97.0 30.0 2.613611111111111 0.047885075818036714
85 80.0 24.5 2.665556018325698 0.04528650646950092
86 88.0 24.25 3.2921670740780105 0.04619047619047619
87 175.0 43.75 2.0 0.08536585365853659
88 150.0 38.0 1.9477146814404431 0.08278867102396514
89 145.0 43.75 1.3730612244897962 0.08776328986960882
90 137.0 37.75 1.6463313012587166 0.07471548738248392
91 150.0 39.75 1.7799928800284799 0.08419380460683082
92 198.0 53.625 1.7041420118343198 0.08663166397415185
93 150.0 50.0 1.125 0.08960573476702509
94 158.0 43.875 1.6210258033619855 0.08044923217969287
95 150.0 39.75 1.7799928800284799 0.07505310361104556
96 215.0 55.0 1.9101239669421488 0.09292502639915523
97 225.0 56.875 1.9562854727689893 0.09190062613613412
98 175.0 45.0 1.890432098765432 0.0942161737764983
99 105.0 37.5 1.3066666666666666 0.07209227811598846
100 100.0 41.666666666666664 0.9600000000000002 0.0762660158633313
101 100.0 38.666666666666664 1.11474435196195 0.07877758913412564
102 88.0 41.666666666666664 0.743424 0.08275405494869248
103 95.0 33.0 1.3812366085093357 0.06818181818181818
104 46.0 24.25 0.8995642469975554 0.04974358974358974
105 150.0 50.0 1.125 0.08004802881729037
106 167.0 50.0 1.39445 0.08153281695882593
107 170.0 45.0 1.7839506172839505 0.07735281478298238
108 180.0 43.75 2.1159183673469384 0.07779506557012669
109 100.0 38.666666666666664 1.11474435196195 0.08318393689494442
110 88.0 24.25 3.2921670740780105 0.04256252742430891
111 72.0 35.0 1.0579591836734692 0.05830903790087463
112 94.0 27.0 3.0301783264746227 0.04539722572509458
113 90.0 23.333333333333332 4.959183673469388 0.03295668549905838
114 85.0 30.5 1.9416823434560602 0.05281385281385281
115 107.0 25.833333333333332 2.8592715920915714 0.06270226537216829
116 90.0 24.5 3.3735943356934612 0.04326710816777042
117 145.0 43.75 1.3730612244897962 0.08574228319451249
118 230.0 50.0 2.6449999999999996 0.09350163627863488
119 49.0 17.0 2.0769896193771626 0.03642206748794858
120 75.0 29.0 1.672116527942925 0.05375347544022243
121 91.0 28.5 2.5487842413050172 0.044151820294345466
122 112.0 30.25 3.427088313639779 0.04218967921896792
123 150.0 39.75 1.7799928800284799 0.09355692850838482
124 110.0 30.25 3.305785123966942 0.04548872180451128
125 122.0 26.0 3.6696252465483234 0.055575347345920914
126 180.0 43.75 2.1159183673469384 0.09552401746724891
127 95.0 33.0 1.3812366085093357 0.06382978723404255
128 85.0 33.333333333333336 1.08375 0.06956521739130435
129 100.0 38.666666666666664 1.11474435196195 0.07997242330230955
130 100.0 41.666666666666664 0.9600000000000002 0.0749400479616307
131 67.0 19.75 2.8771030283608394 0.04051282051282051
132 80.0 30.5 1.719967750604676 0.049775601795185635
133 65.0 17.75 3.3525094227335845 0.03867102396514161
134 75.0 35.0 1.1479591836734693 0.05507474429583006
135 100.0 41.666666666666664 0.9600000000000002 0.06612007405448295
136 110.0 43.0 1.09067964665585 0.0710352422907489
137 105.0 37.5 1.3066666666666666 0.06227511763077775
138 140.0 37.75 1.7192228411034602 0.07292924414392658
139 150.0 43.75 1.4693877551020407 0.07448393275164929
140 150.0 39.75 1.7799928800284799 0.0713484406551492
141 140.0 37.75 1.7192228411034602 0.06511427339370418
142 150.0 38.0 1.9477146814404431 0.0714117923420249
143 83.0 24.5 2.869221157850896 0.04416403785488959
144 67.0 19.75 2.8771030283608394 0.040244523688232295
145 78.0 24.25 2.586459772558189 0.04217391304347826
146 52.0 19.0 1.8725761772853187 0.04608853850818678
147 61.0 20.75 2.160545797648425 0.04143784323514728
148 75.0 22.5 2.777777777777778 0.042352941176470586
149 75.0 22.5 2.777777777777778 0.04269449715370019
150 75.0 29.0 1.672116527942925 0.051647373107747106
151 97.0 30.0 2.613611111111111 0.04821213338690237
152 93.0 27.0 2.96604938271605 0.0451693851944793
153 67.0 19.75 2.8771030283608394 0.0395
154 95.0 37.5 1.0696296296296295 0.06893382352941177
155 105.0 41.666666666666664 1.0584 0.07227522405319456
156 72.0 41.666666666666664 0.497664 0.07284382284382285
157 72.0 41.666666666666664 0.497664 0.07916402786573781
158 170.0 50.0 1.4449999999999998 0.0856898029134533
159 145.0 43.75 1.3730612244897962 0.07882882882882883
160 150.0 39.75 1.7799928800284799 0.0706980880391285
161 148.0 43.875 1.4223261174828128 0.07537041013528023
162 110.0 38.5 1.3605442176870748 0.05912464806757103
163 105.0 41.666666666666664 1.0584 0.06415191172696946
164 110.0 43.0 1.09067964665585 0.06916890080428954
165 95.0 37.5 1.0696296296296295 0.059445178335535004
166 110.0 38.5 1.3605442176870748 0.07601184600197433
167 110.0 32.75 1.4101742322708466 0.08134119838559453
168 129.0 37.75 1.4596728213674839 0.09529820132533923
169 75.0 24.25 2.391327452439154 0.04467987102717642
170 83.0 35.0 1.4059183673469389 0.05305039787798409
171 100.0 38.666666666666664 1.11474435196195 0.07961564859299931
172 78.0 35.0 1.2416326530612245 0.05401234567901234
173 96.0 33.5 2.0530184896413455 0.049592894152479645
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398
data/X_straight.csv Normal file
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@ -0,0 +1,398 @@
horsepower,weight,displacement,cylinders
130.0,3504.0,307.0,8
165.0,3693.0,350.0,8
150.0,3436.0,318.0,8
150.0,3433.0,304.0,8
140.0,3449.0,302.0,8
198.0,4341.0,429.0,8
220.0,4354.0,454.0,8
215.0,4312.0,440.0,8
225.0,4425.0,455.0,8
190.0,3850.0,390.0,8
170.0,3563.0,383.0,8
160.0,3609.0,340.0,8
150.0,3761.0,400.0,8
225.0,5000.0,455.0,8
95.0,2372.0,113.0,4
95.0,2833.0,198.0,6
97.0,2774.0,199.0,6
85.0,2587.0,200.0,6
88.0,2130.0,97.0,4
46.0,1835.0,97.0,4
87.0,2672.0,110.0,4
90.0,2430.0,107.0,4
95.0,2375.0,104.0,4
113.0,2234.0,121.0,4
90.0,2648.0,199.0,6
215.0,4615.0,360.0,8
200.0,4376.0,307.0,8
210.0,4382.0,318.0,8
193.0,4732.0,304.0,8
88.0,2130.0,97.0,4
90.0,2264.0,140.0,4
95.0,2228.0,113.0,4
75.0,2046.0,98.0,4
100.0,2634.0,232.0,6
105.0,3439.0,225.0,6
100.0,3329.0,250.0,6
88.0,3302.0,250.0,6
100.0,3288.0,232.0,6
165.0,4209.0,350.0,8
175.0,4464.0,400.0,8
153.0,4154.0,351.0,8
150.0,4096.0,318.0,8
180.0,4955.0,383.0,8
170.0,4746.0,400.0,8
175.0,5140.0,400.0,8
110.0,2962.0,258.0,6
72.0,2408.0,140.0,4
100.0,3282.0,250.0,6
88.0,3139.0,250.0,6
86.0,2220.0,122.0,4
90.0,2123.0,116.0,4
70.0,2074.0,79.0,4
76.0,2065.0,88.0,4
65.0,1773.0,71.0,4
69.0,1613.0,72.0,4
60.0,1834.0,97.0,4
70.0,1955.0,91.0,4
95.0,2278.0,113.0,4
80.0,2126.0,97.5,4
54.0,2254.0,97.0,4
90.0,2408.0,140.0,4
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97.0,2330.0,70.0,3
150.0,3892.0,304.0,8
130.0,4098.0,307.0,8
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112.0,2933.0,121.0,4
76.0,2511.0,121.0,4
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92.0,2288.0,97.0,4
97.0,2506.0,120.0,4
80.0,2164.0,98.0,4
88.0,2100.0,97.0,4
175.0,4100.0,350.0,8
150.0,3672.0,304.0,8
145.0,3988.0,350.0,8
137.0,4042.0,302.0,8
150.0,3777.0,318.0,8
198.0,4952.0,429.0,8
150.0,4464.0,400.0,8
158.0,4363.0,351.0,8
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105.0,3121.0,225.0,6
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100.0,2945.0,232.0,6
88.0,3021.0,250.0,6
95.0,2904.0,198.0,6
46.0,1950.0,97.0,4
150.0,4997.0,400.0,8
167.0,4906.0,400.0,8
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180.0,4499.0,350.0,8
100.0,2789.0,232.0,6
88.0,2279.0,97.0,4
72.0,2401.0,140.0,4
94.0,2379.0,108.0,4
90.0,2124.0,70.0,3
85.0,2310.0,122.0,4
107.0,2472.0,155.0,6
90.0,2265.0,98.0,4
145.0,4082.0,350.0,8
230.0,4278.0,400.0,8
49.0,1867.0,68.0,4
75.0,2158.0,116.0,4
91.0,2582.0,114.0,4
112.0,2868.0,121.0,4
150.0,3399.0,318.0,8
110.0,2660.0,121.0,4
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180.0,3664.0,350.0,8
95.0,3102.0,198.0,6
85.0,2875.0,200.0,6
100.0,2901.0,232.0,6
100.0,3336.0,250.0,6
67.0,1950.0,79.0,4
80.0,2451.0,122.0,4
65.0,1836.0,71.0,4
75.0,2542.0,140.0,4
100.0,3781.0,250.0,6
110.0,3632.0,258.0,6
105.0,3613.0,225.0,6
140.0,4141.0,302.0,8
150.0,4699.0,350.0,8
150.0,4457.0,318.0,8
140.0,4638.0,302.0,8
150.0,4257.0,304.0,8
83.0,2219.0,98.0,4
67.0,1963.0,79.0,4
78.0,2300.0,97.0,4
52.0,1649.0,76.0,4
61.0,2003.0,83.0,4
75.0,2125.0,90.0,4
75.0,2108.0,90.0,4
75.0,2246.0,116.0,4
97.0,2489.0,120.0,4
93.0,2391.0,108.0,4
67.0,2000.0,79.0,4
95.0,3264.0,225.0,6
105.0,3459.0,250.0,6
72.0,3432.0,250.0,6
72.0,3158.0,250.0,6
170.0,4668.0,400.0,8
145.0,4440.0,350.0,8
150.0,4498.0,318.0,8
148.0,4657.0,351.0,8
110.0,3907.0,231.0,6
105.0,3897.0,250.0,6
110.0,3730.0,258.0,6
95.0,3785.0,225.0,6
110.0,3039.0,231.0,6
110.0,3221.0,262.0,8
129.0,3169.0,302.0,8
75.0,2171.0,97.0,4
83.0,2639.0,140.0,4
100.0,2914.0,232.0,6
78.0,2592.0,140.0,4
96.0,2702.0,134.0,4
71.0,2223.0,90.0,4
97.0,2545.0,119.0,4
97.0,2984.0,171.0,6
70.0,1937.0,90.0,4
90.0,3211.0,232.0,6
95.0,2694.0,115.0,4
88.0,2957.0,120.0,4
98.0,2945.0,121.0,4
115.0,2671.0,121.0,4
53.0,1795.0,91.0,4
86.0,2464.0,107.0,4
81.0,2220.0,116.0,4
92.0,2572.0,140.0,4
79.0,2255.0,98.0,4
83.0,2202.0,101.0,4
140.0,4215.0,305.0,8
150.0,4190.0,318.0,8
120.0,3962.0,304.0,8
152.0,4215.0,351.0,8
100.0,3233.0,225.0,6
105.0,3353.0,250.0,6
81.0,3012.0,200.0,6
90.0,3085.0,232.0,6
52.0,2035.0,85.0,4
60.0,2164.0,98.0,4
70.0,1937.0,90.0,4
53.0,1795.0,91.0,4
100.0,3651.0,225.0,6
78.0,3574.0,250.0,6
110.0,3645.0,250.0,6
95.0,3193.0,258.0,6
71.0,1825.0,97.0,4
70.0,1990.0,85.0,4
75.0,2155.0,97.0,4
72.0,2565.0,140.0,4
102.0,3150.0,130.0,4
150.0,3940.0,318.0,8
88.0,3270.0,120.0,4
108.0,2930.0,156.0,6
120.0,3820.0,168.0,6
180.0,4380.0,350.0,8
145.0,4055.0,350.0,8
130.0,3870.0,302.0,8
150.0,3755.0,318.0,8
68.0,2045.0,98.0,4
80.0,2155.0,111.0,4
58.0,1825.0,79.0,4
96.0,2300.0,122.0,4
70.0,1945.0,85.0,4
145.0,3880.0,305.0,8
110.0,4060.0,260.0,8
145.0,4140.0,318.0,8
130.0,4295.0,302.0,8
110.0,3520.0,250.0,6
105.0,3425.0,231.0,6
100.0,3630.0,225.0,6
98.0,3525.0,250.0,6
180.0,4220.0,400.0,8
170.0,4165.0,350.0,8
190.0,4325.0,400.0,8
149.0,4335.0,351.0,8
78.0,1940.0,97.0,4
88.0,2740.0,151.0,4
75.0,2265.0,97.0,4
89.0,2755.0,140.0,4
63.0,2051.0,98.0,4
83.0,2075.0,98.0,4
67.0,1985.0,97.0,4
78.0,2190.0,97.0,4
97.0,2815.0,146.0,6
110.0,2600.0,121.0,4
110.0,2720.0,80.0,3
48.0,1985.0,90.0,4
66.0,1800.0,98.0,4
52.0,1985.0,78.0,4
70.0,2070.0,85.0,4
60.0,1800.0,91.0,4
110.0,3365.0,260.0,8
140.0,3735.0,318.0,8
139.0,3570.0,302.0,8
105.0,3535.0,231.0,6
95.0,3155.0,200.0,6
85.0,2965.0,200.0,6
88.0,2720.0,140.0,4
100.0,3430.0,225.0,6
90.0,3210.0,232.0,6
105.0,3380.0,231.0,6
85.0,3070.0,200.0,6
110.0,3620.0,225.0,6
120.0,3410.0,258.0,6
145.0,3425.0,305.0,8
165.0,3445.0,231.0,6
139.0,3205.0,302.0,8
140.0,4080.0,318.0,8
68.0,2155.0,98.0,4
95.0,2560.0,134.0,4
97.0,2300.0,119.0,4
75.0,2230.0,105.0,4
95.0,2515.0,134.0,4
105.0,2745.0,156.0,4
85.0,2855.0,151.0,4
97.0,2405.0,119.0,4
103.0,2830.0,131.0,5
125.0,3140.0,163.0,6
115.0,2795.0,121.0,4
133.0,3410.0,163.0,6
71.0,1990.0,89.0,4
68.0,2135.0,98.0,4
115.0,3245.0,231.0,6
85.0,2990.0,200.0,6
88.0,2890.0,140.0,4
90.0,3265.0,232.0,6
110.0,3360.0,225.0,6
130.0,3840.0,305.0,8
129.0,3725.0,302.0,8
138.0,3955.0,351.0,8
135.0,3830.0,318.0,8
155.0,4360.0,350.0,8
142.0,4054.0,351.0,8
125.0,3605.0,267.0,8
150.0,3940.0,360.0,8
71.0,1925.0,89.0,4
65.0,1975.0,86.0,4
80.0,1915.0,98.0,4
80.0,2670.0,121.0,4
77.0,3530.0,183.0,5
125.0,3900.0,350.0,8
71.0,3190.0,141.0,4
90.0,3420.0,260.0,8
70.0,2200.0,105.0,4
70.0,2150.0,105.0,4
65.0,2020.0,85.0,4
69.0,2130.0,91.0,4
90.0,2670.0,151.0,4
115.0,2595.0,173.0,6
115.0,2700.0,173.0,6
90.0,2556.0,151.0,4
76.0,2144.0,98.0,4
60.0,1968.0,89.0,4
70.0,2120.0,98.0,4
65.0,2019.0,86.0,4
90.0,2678.0,151.0,4
88.0,2870.0,140.0,4
90.0,3003.0,151.0,4
90.0,3381.0,225.0,6
78.0,2188.0,97.0,4
90.0,2711.0,134.0,4
75.0,2542.0,120.0,4
92.0,2434.0,119.0,4
75.0,2265.0,108.0,4
65.0,2110.0,86.0,4
105.0,2800.0,156.0,4
65.0,2110.0,85.0,4
48.0,2085.0,90.0,4
48.0,2335.0,90.0,4
67.0,2950.0,121.0,5
67.0,3250.0,146.0,4
67.0,1850.0,91.0,4
53.5,1835.0,85.0,4
67.0,2145.0,97.0,4
62.0,1845.0,89.0,4
132.0,2910.0,168.0,6
100.0,2420.0,70.0,3
88.0,2500.0,122.0,4
72.0,2290.0,107.0,4
84.0,2490.0,135.0,4
84.0,2635.0,151.0,4
92.0,2620.0,156.0,4
110.0,2725.0,173.0,6
84.0,2385.0,135.0,4
58.0,1755.0,79.0,4
64.0,1875.0,86.0,4
60.0,1760.0,81.0,4
67.0,2065.0,97.0,4
65.0,1975.0,85.0,4
62.0,2050.0,89.0,4
68.0,1985.0,91.0,4
63.0,2215.0,105.0,4
65.0,2045.0,98.0,4
65.0,2380.0,98.0,4
74.0,2190.0,105.0,4
81.5,2320.0,100.0,4
75.0,2210.0,107.0,4
75.0,2350.0,108.0,4
100.0,2615.0,119.0,4
74.0,2635.0,120.0,4
80.0,3230.0,141.0,4
76.0,3160.0,145.0,6
116.0,2900.0,168.0,6
120.0,2930.0,146.0,6
110.0,3415.0,231.0,6
105.0,3725.0,350.0,8
88.0,3060.0,200.0,6
85.0,3465.0,225.0,6
88.0,2605.0,112.0,4
88.0,2640.0,112.0,4
88.0,2395.0,112.0,4
85.0,2575.0,112.0,4
84.0,2525.0,135.0,4
90.0,2735.0,151.0,4
92.0,2865.0,140.0,4
90.0,3035.0,151.0,4
74.0,1980.0,105.0,4
68.0,2025.0,91.0,4
68.0,1970.0,91.0,4
63.0,2125.0,105.0,4
70.0,2125.0,98.0,4
88.0,2160.0,120.0,4
75.0,2205.0,107.0,4
70.0,2245.0,108.0,4
67.0,1965.0,91.0,4
67.0,1965.0,91.0,4
67.0,1995.0,91.0,4
110.0,2945.0,181.0,6
85.0,3015.0,262.0,6
92.0,2585.0,156.0,4
112.0,2835.0,232.0,6
96.0,2665.0,144.0,4
84.0,2370.0,135.0,4
90.0,2950.0,151.0,4
86.0,2790.0,140.0,4
52.0,2130.0,97.0,4
84.0,2295.0,135.0,4
79.0,2625.0,120.0,4
82.0,2720.0,119.0,4
1 horsepower weight displacement cylinders
2 130.0 3504.0 307.0 8
3 165.0 3693.0 350.0 8
4 150.0 3436.0 318.0 8
5 150.0 3433.0 304.0 8
6 140.0 3449.0 302.0 8
7 198.0 4341.0 429.0 8
8 220.0 4354.0 454.0 8
9 215.0 4312.0 440.0 8
10 225.0 4425.0 455.0 8
11 190.0 3850.0 390.0 8
12 170.0 3563.0 383.0 8
13 160.0 3609.0 340.0 8
14 150.0 3761.0 400.0 8
15 225.0 5000.0 455.0 8
16 95.0 2372.0 113.0 4
17 95.0 2833.0 198.0 6
18 97.0 2774.0 199.0 6
19 85.0 2587.0 200.0 6
20 88.0 2130.0 97.0 4
21 46.0 1835.0 97.0 4
22 87.0 2672.0 110.0 4
23 90.0 2430.0 107.0 4
24 95.0 2375.0 104.0 4
25 113.0 2234.0 121.0 4
26 90.0 2648.0 199.0 6
27 215.0 4615.0 360.0 8
28 200.0 4376.0 307.0 8
29 210.0 4382.0 318.0 8
30 193.0 4732.0 304.0 8
31 88.0 2130.0 97.0 4
32 90.0 2264.0 140.0 4
33 95.0 2228.0 113.0 4
34 75.0 2046.0 98.0 4
35 100.0 2634.0 232.0 6
36 105.0 3439.0 225.0 6
37 100.0 3329.0 250.0 6
38 88.0 3302.0 250.0 6
39 100.0 3288.0 232.0 6
40 165.0 4209.0 350.0 8
41 175.0 4464.0 400.0 8
42 153.0 4154.0 351.0 8
43 150.0 4096.0 318.0 8
44 180.0 4955.0 383.0 8
45 170.0 4746.0 400.0 8
46 175.0 5140.0 400.0 8
47 110.0 2962.0 258.0 6
48 72.0 2408.0 140.0 4
49 100.0 3282.0 250.0 6
50 88.0 3139.0 250.0 6
51 86.0 2220.0 122.0 4
52 90.0 2123.0 116.0 4
53 70.0 2074.0 79.0 4
54 76.0 2065.0 88.0 4
55 65.0 1773.0 71.0 4
56 69.0 1613.0 72.0 4
57 60.0 1834.0 97.0 4
58 70.0 1955.0 91.0 4
59 95.0 2278.0 113.0 4
60 80.0 2126.0 97.5 4
61 54.0 2254.0 97.0 4
62 90.0 2408.0 140.0 4
63 86.0 2226.0 122.0 4
64 165.0 4274.0 350.0 8
65 175.0 4385.0 400.0 8
66 150.0 4135.0 318.0 8
67 153.0 4129.0 351.0 8
68 150.0 3672.0 304.0 8
69 208.0 4633.0 429.0 8
70 155.0 4502.0 350.0 8
71 160.0 4456.0 350.0 8
72 190.0 4422.0 400.0 8
73 97.0 2330.0 70.0 3
74 150.0 3892.0 304.0 8
75 130.0 4098.0 307.0 8
76 140.0 4294.0 302.0 8
77 150.0 4077.0 318.0 8
78 112.0 2933.0 121.0 4
79 76.0 2511.0 121.0 4
80 87.0 2979.0 120.0 4
81 69.0 2189.0 96.0 4
82 86.0 2395.0 122.0 4
83 92.0 2288.0 97.0 4
84 97.0 2506.0 120.0 4
85 80.0 2164.0 98.0 4
86 88.0 2100.0 97.0 4
87 175.0 4100.0 350.0 8
88 150.0 3672.0 304.0 8
89 145.0 3988.0 350.0 8
90 137.0 4042.0 302.0 8
91 150.0 3777.0 318.0 8
92 198.0 4952.0 429.0 8
93 150.0 4464.0 400.0 8
94 158.0 4363.0 351.0 8
95 150.0 4237.0 318.0 8
96 215.0 4735.0 440.0 8
97 225.0 4951.0 455.0 8
98 175.0 3821.0 360.0 8
99 105.0 3121.0 225.0 6
100 100.0 3278.0 250.0 6
101 100.0 2945.0 232.0 6
102 88.0 3021.0 250.0 6
103 95.0 2904.0 198.0 6
104 46.0 1950.0 97.0 4
105 150.0 4997.0 400.0 8
106 167.0 4906.0 400.0 8
107 170.0 4654.0 360.0 8
108 180.0 4499.0 350.0 8
109 100.0 2789.0 232.0 6
110 88.0 2279.0 97.0 4
111 72.0 2401.0 140.0 4
112 94.0 2379.0 108.0 4
113 90.0 2124.0 70.0 3
114 85.0 2310.0 122.0 4
115 107.0 2472.0 155.0 6
116 90.0 2265.0 98.0 4
117 145.0 4082.0 350.0 8
118 230.0 4278.0 400.0 8
119 49.0 1867.0 68.0 4
120 75.0 2158.0 116.0 4
121 91.0 2582.0 114.0 4
122 112.0 2868.0 121.0 4
123 150.0 3399.0 318.0 8
124 110.0 2660.0 121.0 4
125 122.0 2807.0 156.0 6
126 180.0 3664.0 350.0 8
127 95.0 3102.0 198.0 6
128 85.0 2875.0 200.0 6
129 100.0 2901.0 232.0 6
130 100.0 3336.0 250.0 6
131 67.0 1950.0 79.0 4
132 80.0 2451.0 122.0 4
133 65.0 1836.0 71.0 4
134 75.0 2542.0 140.0 4
135 100.0 3781.0 250.0 6
136 110.0 3632.0 258.0 6
137 105.0 3613.0 225.0 6
138 140.0 4141.0 302.0 8
139 150.0 4699.0 350.0 8
140 150.0 4457.0 318.0 8
141 140.0 4638.0 302.0 8
142 150.0 4257.0 304.0 8
143 83.0 2219.0 98.0 4
144 67.0 1963.0 79.0 4
145 78.0 2300.0 97.0 4
146 52.0 1649.0 76.0 4
147 61.0 2003.0 83.0 4
148 75.0 2125.0 90.0 4
149 75.0 2108.0 90.0 4
150 75.0 2246.0 116.0 4
151 97.0 2489.0 120.0 4
152 93.0 2391.0 108.0 4
153 67.0 2000.0 79.0 4
154 95.0 3264.0 225.0 6
155 105.0 3459.0 250.0 6
156 72.0 3432.0 250.0 6
157 72.0 3158.0 250.0 6
158 170.0 4668.0 400.0 8
159 145.0 4440.0 350.0 8
160 150.0 4498.0 318.0 8
161 148.0 4657.0 351.0 8
162 110.0 3907.0 231.0 6
163 105.0 3897.0 250.0 6
164 110.0 3730.0 258.0 6
165 95.0 3785.0 225.0 6
166 110.0 3039.0 231.0 6
167 110.0 3221.0 262.0 8
168 129.0 3169.0 302.0 8
169 75.0 2171.0 97.0 4
170 83.0 2639.0 140.0 4
171 100.0 2914.0 232.0 6
172 78.0 2592.0 140.0 4
173 96.0 2702.0 134.0 4
174 71.0 2223.0 90.0 4
175 97.0 2545.0 119.0 4
176 97.0 2984.0 171.0 6
177 70.0 1937.0 90.0 4
178 90.0 3211.0 232.0 6
179 95.0 2694.0 115.0 4
180 88.0 2957.0 120.0 4
181 98.0 2945.0 121.0 4
182 115.0 2671.0 121.0 4
183 53.0 1795.0 91.0 4
184 86.0 2464.0 107.0 4
185 81.0 2220.0 116.0 4
186 92.0 2572.0 140.0 4
187 79.0 2255.0 98.0 4
188 83.0 2202.0 101.0 4
189 140.0 4215.0 305.0 8
190 150.0 4190.0 318.0 8
191 120.0 3962.0 304.0 8
192 152.0 4215.0 351.0 8
193 100.0 3233.0 225.0 6
194 105.0 3353.0 250.0 6
195 81.0 3012.0 200.0 6
196 90.0 3085.0 232.0 6
197 52.0 2035.0 85.0 4
198 60.0 2164.0 98.0 4
199 70.0 1937.0 90.0 4
200 53.0 1795.0 91.0 4
201 100.0 3651.0 225.0 6
202 78.0 3574.0 250.0 6
203 110.0 3645.0 250.0 6
204 95.0 3193.0 258.0 6
205 71.0 1825.0 97.0 4
206 70.0 1990.0 85.0 4
207 75.0 2155.0 97.0 4
208 72.0 2565.0 140.0 4
209 102.0 3150.0 130.0 4
210 150.0 3940.0 318.0 8
211 88.0 3270.0 120.0 4
212 108.0 2930.0 156.0 6
213 120.0 3820.0 168.0 6
214 180.0 4380.0 350.0 8
215 145.0 4055.0 350.0 8
216 130.0 3870.0 302.0 8
217 150.0 3755.0 318.0 8
218 68.0 2045.0 98.0 4
219 80.0 2155.0 111.0 4
220 58.0 1825.0 79.0 4
221 96.0 2300.0 122.0 4
222 70.0 1945.0 85.0 4
223 145.0 3880.0 305.0 8
224 110.0 4060.0 260.0 8
225 145.0 4140.0 318.0 8
226 130.0 4295.0 302.0 8
227 110.0 3520.0 250.0 6
228 105.0 3425.0 231.0 6
229 100.0 3630.0 225.0 6
230 98.0 3525.0 250.0 6
231 180.0 4220.0 400.0 8
232 170.0 4165.0 350.0 8
233 190.0 4325.0 400.0 8
234 149.0 4335.0 351.0 8
235 78.0 1940.0 97.0 4
236 88.0 2740.0 151.0 4
237 75.0 2265.0 97.0 4
238 89.0 2755.0 140.0 4
239 63.0 2051.0 98.0 4
240 83.0 2075.0 98.0 4
241 67.0 1985.0 97.0 4
242 78.0 2190.0 97.0 4
243 97.0 2815.0 146.0 6
244 110.0 2600.0 121.0 4
245 110.0 2720.0 80.0 3
246 48.0 1985.0 90.0 4
247 66.0 1800.0 98.0 4
248 52.0 1985.0 78.0 4
249 70.0 2070.0 85.0 4
250 60.0 1800.0 91.0 4
251 110.0 3365.0 260.0 8
252 140.0 3735.0 318.0 8
253 139.0 3570.0 302.0 8
254 105.0 3535.0 231.0 6
255 95.0 3155.0 200.0 6
256 85.0 2965.0 200.0 6
257 88.0 2720.0 140.0 4
258 100.0 3430.0 225.0 6
259 90.0 3210.0 232.0 6
260 105.0 3380.0 231.0 6
261 85.0 3070.0 200.0 6
262 110.0 3620.0 225.0 6
263 120.0 3410.0 258.0 6
264 145.0 3425.0 305.0 8
265 165.0 3445.0 231.0 6
266 139.0 3205.0 302.0 8
267 140.0 4080.0 318.0 8
268 68.0 2155.0 98.0 4
269 95.0 2560.0 134.0 4
270 97.0 2300.0 119.0 4
271 75.0 2230.0 105.0 4
272 95.0 2515.0 134.0 4
273 105.0 2745.0 156.0 4
274 85.0 2855.0 151.0 4
275 97.0 2405.0 119.0 4
276 103.0 2830.0 131.0 5
277 125.0 3140.0 163.0 6
278 115.0 2795.0 121.0 4
279 133.0 3410.0 163.0 6
280 71.0 1990.0 89.0 4
281 68.0 2135.0 98.0 4
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283 85.0 2990.0 200.0 6
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310 90.0 2556.0 151.0 4
311 76.0 2144.0 98.0 4
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314 65.0 2019.0 86.0 4
315 90.0 2678.0 151.0 4
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335 132.0 2910.0 168.0 6
336 100.0 2420.0 70.0 3
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367
eda.ipynb
View file

@ -30,11 +30,11 @@
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@ -107,11 +107,11 @@
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"metadata": { "metadata": {
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@ -168,11 +168,11 @@
"id": "7342da99-d04a-4f4f-ad3c-06840144ec48", "id": "7342da99-d04a-4f4f-ad3c-06840144ec48",
"metadata": { "metadata": {
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@ -182,8 +182,7 @@
"new_features['efficiency'] = df.horsepower / df.displacement\n", "new_features['efficiency'] = df.horsepower / df.displacement\n",
"new_features['load'] = df.displacement / df.weight\n", "new_features['load'] = df.displacement / df.weight\n",
"new_features['bore_size'] = df.displacement / df.cylinders\n", "new_features['bore_size'] = df.displacement / df.cylinders\n",
"new_features['grunt'] = new_features.bore_size * new_features.efficiency * df.horsepower\n", "new_features['grunt'] = (df.horsepower / new_features.bore_size) * new_features.efficiency"
"# new_features['grunt'] = (df.horsepower / new_features.bore_size) * new_features.efficiency"
] ]
}, },
{ {
@ -192,11 +191,11 @@
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@ -255,11 +254,11 @@
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"metadata": { "metadata": {
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@ -293,11 +292,11 @@
"id": "dbbfdab6-1cca-4329-a2ae-9258678ab0b1", "id": "dbbfdab6-1cca-4329-a2ae-9258678ab0b1",
"metadata": { "metadata": {
"execution": { "execution": {
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}, },
@ -353,7 +352,7 @@
" <td>1.385714</td>\n", " <td>1.385714</td>\n",
" <td>0.030043</td>\n", " <td>0.030043</td>\n",
" <td>23.333333</td>\n", " <td>23.333333</td>\n",
" <td>3136.333333</td>\n", " <td>5.760612</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>111</th>\n", " <th>111</th>\n",
@ -369,7 +368,7 @@
" <td>1.285714</td>\n", " <td>1.285714</td>\n",
" <td>0.032957</td>\n", " <td>0.032957</td>\n",
" <td>23.333333</td>\n", " <td>23.333333</td>\n",
" <td>2700.000000</td>\n", " <td>4.959184</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>243</th>\n", " <th>243</th>\n",
@ -385,7 +384,7 @@
" <td>1.375000</td>\n", " <td>1.375000</td>\n",
" <td>0.029412</td>\n", " <td>0.029412</td>\n",
" <td>26.666667</td>\n", " <td>26.666667</td>\n",
" <td>4033.333333</td>\n", " <td>5.671875</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>334</th>\n", " <th>334</th>\n",
@ -401,7 +400,7 @@
" <td>1.428571</td>\n", " <td>1.428571</td>\n",
" <td>0.028926</td>\n", " <td>0.028926</td>\n",
" <td>23.333333</td>\n", " <td>23.333333</td>\n",
" <td>3333.333333</td>\n", " <td>6.122449</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
@ -421,10 +420,10 @@
"334 80 3 mazda rx-7 gs 1.428571 0.028926 23.333333 \n", "334 80 3 mazda rx-7 gs 1.428571 0.028926 23.333333 \n",
"\n", "\n",
" grunt \n", " grunt \n",
"71 3136.333333 \n", "71 5.760612 \n",
"111 2700.000000 \n", "111 4.959184 \n",
"243 4033.333333 \n", "243 5.671875 \n",
"334 3333.333333 " "334 6.122449 "
] ]
}, },
"execution_count": 6, "execution_count": 6,
@ -453,11 +452,11 @@
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@ -488,11 +487,11 @@
"id": "1476617f-8097-4294-8c42-fb86ff96c1d0", "id": "1476617f-8097-4294-8c42-fb86ff96c1d0",
"metadata": { "metadata": {
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@ -531,11 +530,11 @@
"id": "c7aece22-1e78-4a48-b969-f1207ba09aad", "id": "c7aece22-1e78-4a48-b969-f1207ba09aad",
"metadata": { "metadata": {
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}, },
@ -591,7 +590,7 @@
" <td>0.533333</td>\n", " <td>0.533333</td>\n",
" <td>0.045340</td>\n", " <td>0.045340</td>\n",
" <td>22.500000</td>\n", " <td>22.500000</td>\n",
" <td>576.000000</td>\n", " <td>1.137778</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>325</th>\n", " <th>325</th>\n",
@ -607,7 +606,7 @@
" <td>0.533333</td>\n", " <td>0.533333</td>\n",
" <td>0.043165</td>\n", " <td>0.043165</td>\n",
" <td>22.500000</td>\n", " <td>22.500000</td>\n",
" <td>576.000000</td>\n", " <td>1.137778</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>326</th>\n", " <th>326</th>\n",
@ -623,7 +622,7 @@
" <td>0.533333</td>\n", " <td>0.533333</td>\n",
" <td>0.038544</td>\n", " <td>0.038544</td>\n",
" <td>22.500000</td>\n", " <td>22.500000</td>\n",
" <td>576.000000</td>\n", " <td>1.137778</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>327</th>\n", " <th>327</th>\n",
@ -639,7 +638,7 @@
" <td>0.553719</td>\n", " <td>0.553719</td>\n",
" <td>0.041017</td>\n", " <td>0.041017</td>\n",
" <td>24.200000</td>\n", " <td>24.200000</td>\n",
" <td>897.800000</td>\n", " <td>1.533024</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>358</th>\n", " <th>358</th>\n",
@ -655,7 +654,7 @@
" <td>0.567376</td>\n", " <td>0.567376</td>\n",
" <td>0.043653</td>\n", " <td>0.043653</td>\n",
" <td>35.250000</td>\n", " <td>35.250000</td>\n",
" <td>1600.000000</td>\n", " <td>1.287662</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>359</th>\n", " <th>359</th>\n",
@ -671,7 +670,7 @@
" <td>0.524138</td>\n", " <td>0.524138</td>\n",
" <td>0.045886</td>\n", " <td>0.045886</td>\n",
" <td>24.166667</td>\n", " <td>24.166667</td>\n",
" <td>962.666667</td>\n", " <td>1.648323</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>386</th>\n", " <th>386</th>\n",
@ -687,7 +686,7 @@
" <td>0.324427</td>\n", " <td>0.324427</td>\n",
" <td>0.086899</td>\n", " <td>0.086899</td>\n",
" <td>43.666667</td>\n", " <td>43.666667</td>\n",
" <td>1204.166667</td>\n", " <td>0.631519</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
@ -713,13 +712,13 @@
"386 82 1 oldsmobile cutlass ciera (diesel) 0.324427 \n", "386 82 1 oldsmobile cutlass ciera (diesel) 0.324427 \n",
"\n", "\n",
" load bore_size grunt \n", " load bore_size grunt \n",
"244 0.045340 22.500000 576.000000 \n", "244 0.045340 22.500000 1.137778 \n",
"325 0.043165 22.500000 576.000000 \n", "325 0.043165 22.500000 1.137778 \n",
"326 0.038544 22.500000 576.000000 \n", "326 0.038544 22.500000 1.137778 \n",
"327 0.041017 24.200000 897.800000 \n", "327 0.041017 24.200000 1.533024 \n",
"358 0.043653 35.250000 1600.000000 \n", "358 0.043653 35.250000 1.287662 \n",
"359 0.045886 24.166667 962.666667 \n", "359 0.045886 24.166667 1.648323 \n",
"386 0.086899 43.666667 1204.166667 " "386 0.086899 43.666667 0.631519 "
] ]
}, },
"execution_count": 9, "execution_count": 9,
@ -746,11 +745,11 @@
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@ -789,11 +788,11 @@
"id": "0fb1ed64-bba6-463c-9a0f-84af360515b5", "id": "0fb1ed64-bba6-463c-9a0f-84af360515b5",
"metadata": { "metadata": {
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@ -849,7 +848,7 @@
" <td>0.324427</td>\n", " <td>0.324427</td>\n",
" <td>0.086899</td>\n", " <td>0.086899</td>\n",
" <td>43.666667</td>\n", " <td>43.666667</td>\n",
" <td>1204.166667</td>\n", " <td>0.631519</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
@ -863,7 +862,7 @@
"386 82 1 oldsmobile cutlass ciera (diesel) 0.324427 \n", "386 82 1 oldsmobile cutlass ciera (diesel) 0.324427 \n",
"\n", "\n",
" load bore_size grunt \n", " load bore_size grunt \n",
"386 0.086899 43.666667 1204.166667 " "386 0.086899 43.666667 0.631519 "
] ]
}, },
"execution_count": 11, "execution_count": 11,
@ -905,11 +904,11 @@
"id": "c0c4f183-ef44-42ee-b64c-a75c63450d7b", "id": "c0c4f183-ef44-42ee-b64c-a75c63450d7b",
"metadata": { "metadata": {
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@ -965,7 +964,7 @@
" <td>0.357143</td>\n", " <td>0.357143</td>\n",
" <td>0.089744</td>\n", " <td>0.089744</td>\n",
" <td>43.75</td>\n", " <td>43.75</td>\n",
" <td>1953.125</td>\n", " <td>1.020408</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>363</th>\n", " <th>363</th>\n",
@ -981,7 +980,7 @@
" <td>0.300000</td>\n", " <td>0.300000</td>\n",
" <td>0.093960</td>\n", " <td>0.093960</td>\n",
" <td>43.75</td>\n", " <td>43.75</td>\n",
" <td>1378.125</td>\n", " <td>0.720000</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
@ -997,8 +996,8 @@
"363 81 1 oldsmobile cutlass ls 0.300000 0.093960 \n", "363 81 1 oldsmobile cutlass ls 0.300000 0.093960 \n",
"\n", "\n",
" bore_size grunt \n", " bore_size grunt \n",
"298 43.75 1953.125 \n", "298 43.75 1.020408 \n",
"363 43.75 1378.125 " "363 43.75 0.720000 "
] ]
}, },
"execution_count": 12, "execution_count": 12,
@ -1024,11 +1023,11 @@
"id": "8f51f87e-fb76-4c8a-b4bc-05f147fc8efa", "id": "8f51f87e-fb76-4c8a-b4bc-05f147fc8efa",
"metadata": { "metadata": {
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@ -1084,7 +1083,7 @@
" <td>0.494505</td>\n", " <td>0.494505</td>\n",
" <td>0.14744</td>\n", " <td>0.14744</td>\n",
" <td>56.875</td>\n", " <td>56.875</td>\n",
" <td>6328.125</td>\n", " <td>1.956285</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
@ -1098,7 +1097,7 @@
"13 70 1 buick estate wagon (sw) 0.494505 0.14744 \n", "13 70 1 buick estate wagon (sw) 0.494505 0.14744 \n",
"\n", "\n",
" bore_size grunt \n", " bore_size grunt \n",
"13 56.875 6328.125 " "13 56.875 1.956285 "
] ]
}, },
"execution_count": 13, "execution_count": 13,
@ -1124,11 +1123,11 @@
"id": "7d556866-da6d-48dd-b37a-e59c3155085d", "id": "7d556866-da6d-48dd-b37a-e59c3155085d",
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@ -1152,11 +1151,11 @@
"id": "558d450a-2649-4005-bbe8-5f8cc509f965", "id": "558d450a-2649-4005-bbe8-5f8cc509f965",
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@ -1203,11 +1202,11 @@
"id": "38935e91-3877-47a3-96d6-cd54e2704bdb", "id": "38935e91-3877-47a3-96d6-cd54e2704bdb",
"metadata": { "metadata": {
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@ -1263,7 +1262,7 @@
" <td>0.755814</td>\n", " <td>0.755814</td>\n",
" <td>0.040758</td>\n", " <td>0.040758</td>\n",
" <td>21.50</td>\n", " <td>21.50</td>\n",
" <td>1056.2500</td>\n", " <td>2.285019</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>329</th>\n", " <th>329</th>\n",
@ -1279,7 +1278,7 @@
" <td>0.736264</td>\n", " <td>0.736264</td>\n",
" <td>0.049189</td>\n", " <td>0.049189</td>\n",
" <td>22.75</td>\n", " <td>22.75</td>\n",
" <td>1122.2500</td>\n", " <td>2.168337</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>325</th>\n", " <th>325</th>\n",
@ -1295,7 +1294,7 @@
" <td>0.533333</td>\n", " <td>0.533333</td>\n",
" <td>0.043165</td>\n", " <td>0.043165</td>\n",
" <td>22.50</td>\n", " <td>22.50</td>\n",
" <td>576.0000</td>\n", " <td>1.137778</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>393</th>\n", " <th>393</th>\n",
@ -1311,7 +1310,7 @@
" <td>0.536082</td>\n", " <td>0.536082</td>\n",
" <td>0.045540</td>\n", " <td>0.045540</td>\n",
" <td>24.25</td>\n", " <td>24.25</td>\n",
" <td>676.0000</td>\n", " <td>1.149538</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>326</th>\n", " <th>326</th>\n",
@ -1327,7 +1326,7 @@
" <td>0.533333</td>\n", " <td>0.533333</td>\n",
" <td>0.038544</td>\n", " <td>0.038544</td>\n",
" <td>22.50</td>\n", " <td>22.50</td>\n",
" <td>576.0000</td>\n", " <td>1.137778</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>244</th>\n", " <th>244</th>\n",
@ -1343,7 +1342,7 @@
" <td>0.533333</td>\n", " <td>0.533333</td>\n",
" <td>0.045340</td>\n", " <td>0.045340</td>\n",
" <td>22.50</td>\n", " <td>22.50</td>\n",
" <td>576.0000</td>\n", " <td>1.137778</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>309</th>\n", " <th>309</th>\n",
@ -1359,7 +1358,7 @@
" <td>0.775510</td>\n", " <td>0.775510</td>\n",
" <td>0.045709</td>\n", " <td>0.045709</td>\n",
" <td>24.50</td>\n", " <td>24.50</td>\n",
" <td>1444.0000</td>\n", " <td>2.405664</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>330</th>\n", " <th>330</th>\n",
@ -1375,7 +1374,7 @@
" <td>0.629412</td>\n", " <td>0.629412</td>\n",
" <td>0.046322</td>\n", " <td>0.046322</td>\n",
" <td>21.25</td>\n", " <td>21.25</td>\n",
" <td>715.5625</td>\n", " <td>1.584637</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>324</th>\n", " <th>324</th>\n",
@ -1391,7 +1390,7 @@
" <td>0.764706</td>\n", " <td>0.764706</td>\n",
" <td>0.040284</td>\n", " <td>0.040284</td>\n",
" <td>21.25</td>\n", " <td>21.25</td>\n",
" <td>1056.2500</td>\n", " <td>2.339100</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>247</th>\n", " <th>247</th>\n",
@ -1407,7 +1406,7 @@
" <td>0.823529</td>\n", " <td>0.823529</td>\n",
" <td>0.041063</td>\n", " <td>0.041063</td>\n",
" <td>21.25</td>\n", " <td>21.25</td>\n",
" <td>1225.0000</td>\n", " <td>2.712803</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
@ -1439,16 +1438,16 @@
"247 78 3 datsun b210 gx 0.823529 \n", "247 78 3 datsun b210 gx 0.823529 \n",
"\n", "\n",
" load bore_size grunt \n", " load bore_size grunt \n",
"322 0.040758 21.50 1056.2500 \n", "322 0.040758 21.50 2.285019 \n",
"329 0.049189 22.75 1122.2500 \n", "329 0.049189 22.75 2.168337 \n",
"325 0.043165 22.50 576.0000 \n", "325 0.043165 22.50 1.137778 \n",
"393 0.045540 24.25 676.0000 \n", "393 0.045540 24.25 1.149538 \n",
"326 0.038544 22.50 576.0000 \n", "326 0.038544 22.50 1.137778 \n",
"244 0.045340 22.50 576.0000 \n", "244 0.045340 22.50 1.137778 \n",
"309 0.045709 24.50 1444.0000 \n", "309 0.045709 24.50 2.405664 \n",
"330 0.046322 21.25 715.5625 \n", "330 0.046322 21.25 1.584637 \n",
"324 0.040284 21.25 1056.2500 \n", "324 0.040284 21.25 2.339100 \n",
"247 0.041063 21.25 1225.0000 " "247 0.041063 21.25 2.712803 "
] ]
}, },
"execution_count": 16, "execution_count": 16,
@ -1474,11 +1473,11 @@
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@ -1525,11 +1524,11 @@
"id": "1497a48c-42a3-447e-b1fb-e3a5b78902da", "id": "1497a48c-42a3-447e-b1fb-e3a5b78902da",
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@ -1585,7 +1584,7 @@
" <td>0.634868</td>\n", " <td>0.634868</td>\n",
" <td>0.064243</td>\n", " <td>0.064243</td>\n",
" <td>38.000</td>\n", " <td>38.000</td>\n",
" <td>4656.125</td>\n", " <td>3.224463</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>26</th>\n", " <th>26</th>\n",
@ -1601,7 +1600,7 @@
" <td>0.651466</td>\n", " <td>0.651466</td>\n",
" <td>0.070155</td>\n", " <td>0.070155</td>\n",
" <td>38.375</td>\n", " <td>38.375</td>\n",
" <td>5000.000</td>\n", " <td>3.395261</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>25</th>\n", " <th>25</th>\n",
@ -1617,7 +1616,7 @@
" <td>0.597222</td>\n", " <td>0.597222</td>\n",
" <td>0.078007</td>\n", " <td>0.078007</td>\n",
" <td>45.000</td>\n", " <td>45.000</td>\n",
" <td>5778.125</td>\n", " <td>2.853395</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>27</th>\n", " <th>27</th>\n",
@ -1633,7 +1632,7 @@
" <td>0.660377</td>\n", " <td>0.660377</td>\n",
" <td>0.072570</td>\n", " <td>0.072570</td>\n",
" <td>39.750</td>\n", " <td>39.750</td>\n",
" <td>5512.500</td>\n", " <td>3.488786</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>103</th>\n", " <th>103</th>\n",
@ -1649,7 +1648,7 @@
" <td>0.375000</td>\n", " <td>0.375000</td>\n",
" <td>0.080048</td>\n", " <td>0.080048</td>\n",
" <td>50.000</td>\n", " <td>50.000</td>\n",
" <td>2812.500</td>\n", " <td>1.125000</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>67</th>\n", " <th>67</th>\n",
@ -1665,7 +1664,7 @@
" <td>0.484848</td>\n", " <td>0.484848</td>\n",
" <td>0.092597</td>\n", " <td>0.092597</td>\n",
" <td>53.625</td>\n", " <td>53.625</td>\n",
" <td>5408.000</td>\n", " <td>1.880624</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>124</th>\n", " <th>124</th>\n",
@ -1681,7 +1680,7 @@
" <td>0.514286</td>\n", " <td>0.514286</td>\n",
" <td>0.095524</td>\n", " <td>0.095524</td>\n",
" <td>43.750</td>\n", " <td>43.750</td>\n",
" <td>4050.000</td>\n", " <td>2.115918</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>42</th>\n", " <th>42</th>\n",
@ -1697,7 +1696,7 @@
" <td>0.469974</td>\n", " <td>0.469974</td>\n",
" <td>0.077296</td>\n", " <td>0.077296</td>\n",
" <td>47.875</td>\n", " <td>47.875</td>\n",
" <td>4050.000</td>\n", " <td>1.767004</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>95</th>\n", " <th>95</th>\n",
@ -1713,7 +1712,7 @@
" <td>0.494505</td>\n", " <td>0.494505</td>\n",
" <td>0.091901</td>\n", " <td>0.091901</td>\n",
" <td>56.875</td>\n", " <td>56.875</td>\n",
" <td>6328.125</td>\n", " <td>1.956285</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>90</th>\n", " <th>90</th>\n",
@ -1729,7 +1728,7 @@
" <td>0.461538</td>\n", " <td>0.461538</td>\n",
" <td>0.086632</td>\n", " <td>0.086632</td>\n",
" <td>53.625</td>\n", " <td>53.625</td>\n",
" <td>4900.500</td>\n", " <td>1.704142</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
@ -1761,16 +1760,16 @@
"90 73 1 mercury marquis brougham 0.461538 0.086632 \n", "90 73 1 mercury marquis brougham 0.461538 0.086632 \n",
"\n", "\n",
" bore_size grunt \n", " bore_size grunt \n",
"28 38.000 4656.125 \n", "28 38.000 3.224463 \n",
"26 38.375 5000.000 \n", "26 38.375 3.395261 \n",
"25 45.000 5778.125 \n", "25 45.000 2.853395 \n",
"27 39.750 5512.500 \n", "27 39.750 3.488786 \n",
"103 50.000 2812.500 \n", "103 50.000 1.125000 \n",
"67 53.625 5408.000 \n", "67 53.625 1.880624 \n",
"124 43.750 4050.000 \n", "124 43.750 2.115918 \n",
"42 47.875 4050.000 \n", "42 47.875 1.767004 \n",
"95 56.875 6328.125 \n", "95 56.875 1.956285 \n",
"90 53.625 4900.500 " "90 53.625 1.704142 "
] ]
}, },
"execution_count": 18, "execution_count": 18,
@ -1796,11 +1795,11 @@
"id": "8710cba8-6b7e-4219-98b9-b7d5a1b4f4b9", "id": "8710cba8-6b7e-4219-98b9-b7d5a1b4f4b9",
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@ -1815,7 +1814,7 @@
"efficiency mean: 0.61\n", "efficiency mean: 0.61\n",
"load mean: 0.06\n", "load mean: 0.06\n",
"bore_size mean: 33.36\n", "bore_size mean: 33.36\n",
"grunt mean: 2060.50\n" "grunt mean: 1.92\n"
] ]
} }
], ],
@ -1842,11 +1841,11 @@
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@ -1860,7 +1859,7 @@
"cylinders -0.776090\n", "cylinders -0.776090\n",
"bore_size -0.773403\n", "bore_size -0.773403\n",
"load -0.724271\n", "load -0.724271\n",
"grunt -0.644081\n", "grunt 0.180568\n",
"acceleration 0.420414\n", "acceleration 0.420414\n",
"efficiency 0.509309\n", "efficiency 0.509309\n",
"origin 0.563833\n", "origin 0.563833\n",
@ -1903,11 +1902,11 @@
"id": "52d0ffbf-55aa-49b9-b99f-8160bf09cc79", "id": "52d0ffbf-55aa-49b9-b99f-8160bf09cc79",
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@ -1936,11 +1935,11 @@
"id": "6a4a9e48-57a1-48b6-b289-58bc43584112", "id": "6a4a9e48-57a1-48b6-b289-58bc43584112",
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# Analyzing Fuel Economy # Analyzing Fuel Economy
Predicting MPG of a vehicle using a linear regression model. Success will be evaluated using r-squared and root mean square error scores over time as well as testing with some unseen, futuristic, and very different data compared to training set. Predicting MPG of a vehicle using a linear regression model. Success will be evaluated using r-squared and root mean square error scores over time as well as testing with some unseen, futuristic, and very different data compared to the training set.
If you're curious about what goes into fuel economy, this should provide some insight on how it all works. If you're curious about what goes into fuel economy, this should provide some insight on how it all works.