medv,bayesglm,no,0.00200000000040745,Bayesian Generalized Linear Model,5.42567950000406,4474.57570158817,543.621796629905,3.57645918835464,0.682562883208476,28.20919367642,66.8922693708934,4,0.0365327946913391

medv,bayesglm,no,0.046999999999997,Bayesian Generalized Linear Model,5.42567950000406,4474.57570158817,543.621796629905,3.57645918835464,0.682562883208476,28.20919367642,66.8922693708934,4,0.802097195009282

medv,glm,no,0.00200000000040745,Generalized Linear Model,5.42386819205534,4471.58861704802,543.624660037285,3.57647802656108,0.682833794547201,28.1968092191595,66.8699380667279,7,0.0365327946913391

medv,lmStepAIC,no,0.00199999999949796,Linear Regression with Stepwise Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,8,0.0365327946747259

medv,glmStepAIC,no,0.00200000000040745,Generalized Linear Model with Stepwise Feature Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,9,0.0365327946913391

medv,leapBackward,no,0.0509999999994761,Linear Regression with Backwards Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,10,0.931586264429788

medv,leapForward,no,0.0510000000003856,Linear Regression with Forward Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,11,0.931586264446401

medv,leapSeq,no,0.0509999999994761,Linear Regression with Stepwise Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200603,28.1884518732282,66.829855971855,12,0.931586264429788

medv,glm,no,0.00300000000000011,Generalized Linear Model,5.42386819205534,4471.58861704802,543.624660037285,3.57647802656108,0.682833794547201,28.1968092191595,66.8699380667279,7,0.05119769329847

medv,lmStepAIC,no,0.00300000000000011,Linear Regression with Stepwise Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,8,0.05119769329847

medv,glmStepAIC,no,0.00300000000000011,Generalized Linear Model with Stepwise Feature Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,9,0.05119769329847

medv,leapBackward,no,0.0490000000000066,Linear Regression with Backwards Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,10,0.836228990541757

medv,leapForward,no,0.144999999999996,Linear Regression with Forward Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,11,2.47455517609255

medv,leapSeq,no,0.046999999999997,Linear Regression with Stepwise Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200603,28.1884518732282,66.829855971855,12,0.802097195009282

medv,rbf,no,0.0389999999997599,Radial Basis Function Network,9.6494075501877,14152.8820425821,1004.32082099915,6.6073738223628,114.678942264596,27.8227481842041,118.965886045463,17,0.712389496331593

medv,rbf,no,0.032999999999987,Radial Basis Function Network,9.6494075501877,14152.8820425821,1004.32082099915,6.6073738223628,114.678942264596,27.8227481842041,118.965886045463,17,0.563174626282927

medv,Boruta,no,0,failed @ fitting,,,,,,,,18,

medv,qrf,no,0.0450000000000728,Quantile Random Forest,6.93722002754175,7315.0033,714.33,4.69953947368421,1.15220325143502,35,85.5277925589104,19,0.821987880388997

medv,parRF,no,0.0100000000002183,Parallel Random Forest,4.2056733307072,2688.52860102252,404.40373015873,2.66055085630744,0.50850709606605,18.8418518518519,51.8510231434493,20,0.182663973423469

medv,qrf,no,0.231999999999999,Quantile Random Forest,6.93722002754175,7315.0033,714.33,4.69953947368421,1.15220325143502,35,85.5277925589104,19,3.95928828174818

medv,parRF,no,0.00999999999999091,Parallel Random Forest,4.2056733307072,2688.52860102252,404.40373015873,2.66055085630744,0.50850709606605,18.8418518518519,51.8510231434493,20,0.170658977661405

medv,Rborist,no,0,failed @ fitting,,,,,,,,21,

medv,cforest,no,0.367000000000189,Conditional Inference Random Forest,4.94714751835186,3720.08882238691,456.891999380059,3.00586841697407,0.550092577875276,27.3468572383818,60.9925308737628,22,6.70376782449844

medv,cforest,no,0.340000000000003,Conditional Inference Random Forest,4.94714751835186,3720.08882238691,456.891999380059,3.00586841697407,0.550092577875276,27.3468572383818,60.9925308737628,22,5.8024052404931

medv,blackboost,no,0,failed @ fitting,,,,,,,,23,

medv,kernelpls,no,0.00199999999949796,Partial Least Squares,5.42386819205533,4471.58861704802,543.624660037282,3.57647802656107,0.682833794547197,28.1968092191596,66.8699380667279,24,0.0365327946747259

medv,pls,no,0.00200000000040745,Partial Least Squares,5.58696230668208,4744.55046807553,551.434161955752,3.62785632865626,0.672275763658373,29.0360421030358,68.8806973547418,26,0.0365327946913391

medv,simpls,no,0.00299999999970169,Partial Least Squares,5.58696230660709,4744.55046794815,551.434161948198,3.62785632860657,0.672275763651848,29.0360421027633,68.8806973538172,27,0.0547991920203954

medv,kernelpls,no,0.00999999999999091,Partial Least Squares,5.42386819205533,4471.58861704802,543.624660037282,3.57647802656107,0.682833794547197,28.1968092191596,66.8699380667279,24,0.170658977661405

medv,pls,no,0.00100000000000477,Partial Least Squares,5.58696230668208,4744.55046807553,551.434161955752,3.62785632865626,0.672275763658373,29.0360421030358,68.8806973547418,26,0.0170658977662375

medv,simpls,no,0.00199999999998113,Partial Least Squares,5.58696230660709,4744.55046794815,551.434161948198,3.62785632860657,0.672275763651848,29.0360421027633,68.8806973538172,27,0.03413179553199

medv,BstLm,no,0.0460000000002765,Boosted Linear Model,7.40741368595203,8340.20618225407,745.622529134577,4.90541137588537,1.99558387002501,28.926648451297,91.3247293029334,34,0.840254277734667

medv,dnn,no,0.0180000000000291,Stacked AutoEncoder Deep Neural Network,1.13694499084411e+24,1.96481874655239e+50,1.72815638608305e+26,1.13694499084411e+24,Inf,1.13694499084411e+24,1.40171992443298e+25,37,

medv,BstLm,no,0.0440000000000111,Boosted Linear Model,7.40741368595203,8340.20618225407,745.622529134577,4.90541137588537,1.99558387002501,28.926648451297,91.3247293029334,34,0.750899501711055

medv,dnn,no,0.0180000000000007,Stacked AutoEncoder Deep Neural Network,1.13694499084411e+24,1.96481874655239e+50,1.72815638608305e+26,1.13694499084411e+24,Inf,1.13694499084411e+24,1.40171992443298e+25,37,

medv,widekernelpls,no,0.00299999999970169,Partial Least Squares,5.42387142216707,4471.5939430385,543.625216846548,3.57648168977992,0.682834030727267,28.1968977365301,66.8699778902199,47,0.0547991920203954

medv,rvmLinear,no,0.00300000000061118,Relevance Vector Machines with Linear Kernel,5.72039040280196,4973.87568679125,539.415534500556,3.54878641118787,0.626011610536545,31.717823485665,70.5257094029635,48,0.0547991920370086

medv,svmRadialCost,no,0.0399999999999636,Support Vector Machines with Radial Basis Function Kernel,9.92007992446594,14958.0138275844,1021.01436598653,6.71719977622715,705.342645847963,29.138267898898,122.302959193899,50,0.730655893677263

medv,foba,no,0.0219999999999345,Ridge Regression with Variable Selection,5.53702571363906,4660.11537053201,547.605453422261,3.6026674567254,0.719301706176578,29.3148950750936,68.2650376879118,52,0.401860741521664

medv,widekernelpls,no,0.0029999999999859,Partial Least Squares,5.42387142216707,4471.5939430385,543.625216846548,3.57648168977992,0.682834030727267,28.1968977365301,66.8699778902199,47,0.0511976932982275

medv,rvmLinear,no,0.0029999999999859,Relevance Vector Machines with Linear Kernel,5.72039040280196,4973.87568679125,539.415534500556,3.54878641118787,0.626011610536545,31.717823485665,70.5257094029635,48,0.0511976932982275

medv,svmRadialCost,no,0.389999999999986,Support Vector Machines with Radial Basis Function Kernel,9.92007992446594,14958.0138275844,1021.01436598653,6.71719977622715,705.342645847963,29.138267898898,122.302959193899,50,6.65570012880061

medv,foba,no,0.0199999999999818,Ridge Regression with Variable Selection,5.53702571363906,4660.11537053201,547.605453422261,3.6026674567254,0.719301706176578,29.3148950750936,68.2650376879118,52,0.34131795532281

medv,bayesglm,pca,0.00299999999970169,Bayesian Generalized Linear Model,5.42567950000406,4474.57570158817,543.621796629905,3.57645918835464,0.682562883208476,28.20919367642,66.8922693708934,68,0.0547991920203954

medv,glm,pca,0.00199999999949796,Generalized Linear Model,5.42386819205534,4471.58861704802,543.624660037285,3.57647802656108,0.682833794547201,28.1968092191595,66.8699380667279,71,0.0365327946747259

medv,lmStepAIC,pca,0.00199999999949796,Linear Regression with Stepwise Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,72,0.0365327946747259

medv,glmStepAIC,pca,0.00200000000040745,Generalized Linear Model with Stepwise Feature Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,73,0.0365327946913391

medv,leapBackward,pca,0.0500000000001819,Linear Regression with Backwards Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,74,0.913319867100732

medv,leapForward,pca,0.0509999999994761,Linear Regression with Forward Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,75,0.931586264429788

medv,leapSeq,pca,0.0520000000005894,Linear Regression with Stepwise Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200603,28.1884518732282,66.829855971855,76,0.949852661792071

medv,bayesglm,pca,0.143000000000029,Bayesian Generalized Linear Model,5.42567950000406,4474.57570158817,543.621796629905,3.57645918835464,0.682562883208476,28.20919367642,66.8922693708934,68,2.44042338056081

medv,glm,pca,0.00300000000004275,Generalized Linear Model,5.42386819205534,4471.58861704802,543.624660037285,3.57647802656108,0.682833794547201,28.1968092191595,66.8699380667279,71,0.0511976932991975

medv,lmStepAIC,pca,0.00300000000004275,Linear Regression with Stepwise Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,72,0.0511976932991975

medv,glmStepAIC,pca,0.00199999999995271,Generalized Linear Model with Stepwise Feature Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,73,0.0341317955315049

medv,leapBackward,pca,0.0489999999999782,Linear Regression with Backwards Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,74,0.836228990541272

medv,leapForward,pca,0.0519999999999641,Linear Regression with Forward Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,75,0.8874266838395

medv,leapSeq,pca,0.0480000000000018,Linear Regression with Stepwise Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200603,28.1884518732282,66.829855971855,76,0.81916309277552

medv,rbf,pca,0.0160000000005311,Radial Basis Function Network,9.64740807327522,14147.017344909,1004.1366569519,6.60616221678884,105.52554780645,27.8123817443848,118.941234838507,81,0.292262357480873

medv,Boruta,pca,0,failed @ fitting,,,,,,,,82,

medv,qrf,pca,0.0469999999995707,Quantile Random Forest,6.80907569660562,7047.2538,703.22,4.62644736842105,1.04336213727161,35,83.9479231428628,83,0.858520675063723

medv,parRF,pca,0.011000000000422,Parallel Random Forest,4.19809950333119,2678.85399486017,406.71962962963,2.67578703703704,0.506330793677043,19.9656878306879,51.7576467283838,84,0.200930370769139

medv,rbf,pca,0.0170000000000528,Radial Basis Function Network,9.64740807327522,14147.017344909,1004.1366569519,6.60616221678884,105.52554780645,27.8123817443848,118.941234838507,81,0.290120262025552

medv,qrf,pca,0.0450000000000159,Quantile Random Forest,6.80907569660562,7047.2538,703.22,4.62644736842105,1.04336213727161,35,83.9479231428628,83,0.767965399477292

medv,parRF,pca,0.0120000000000005,Parallel Random Forest,4.19809950333119,2678.85399486017,406.71962962963,2.67578703703704,0.506330793677043,19.9656878306879,51.7576467283838,84,0.20479077319388

medv,Rborist,pca,0,failed @ fitting,,,,,,,,85,

medv,cforest,pca,0.407999999999447,Conditional Inference Random Forest,4.93144096328193,3696.50471609892,452.899974790645,2.97960509730688,0.547403619496415,27.0067770829813,60.7988874577399,86,7.45269011550476

medv,cforest,pca,0.33099999999996,Conditional Inference Random Forest,4.93144096328193,3696.50471609892,452.899974790645,2.97960509730688,0.547403619496415,27.0067770829813,60.7988874577399,86,5.64881216059696

medv,blackboost,pca,0,failed @ fitting,,,,,,,,87,

medv,kernelpls,pca,0.00199999999949796,Partial Least Squares,5.42386819205533,4471.58861704802,543.624660037282,3.57647802656107,0.682833794547197,28.1968092191596,66.8699380667279,88,0.0365327946747259

medv,pls,pca,0.00200000000040745,Partial Least Squares,5.58696230668208,4744.55046807553,551.434161955752,3.62785632865626,0.672275763658373,29.0360421030358,68.8806973547418,90,0.0365327946913391

medv,simpls,pca,0.00300000000061118,Partial Least Squares,5.58696230660709,4744.55046794815,551.434161948198,3.62785632860657,0.672275763651848,29.0360421027633,68.8806973538172,91,0.0547991920370086

medv,kernelpls,pca,0.00200000000000955,Partial Least Squares,5.42386819205533,4471.58861704802,543.624660037282,3.57647802656107,0.682833794547197,28.1968092191596,66.8699380667279,88,0.034131795532475

medv,pls,pca,0.00200000000000955,Partial Least Squares,5.58696230668208,4744.55046807553,551.434161955752,3.62785632865626,0.672275763658373,29.0360421030358,68.8806973547418,90,0.034131795532475

medv,simpls,pca,0.00200000000000955,Partial Least Squares,5.58696230660709,4744.55046794815,551.434161948198,3.62785632860657,0.672275763651848,29.0360421027633,68.8806973538172,91,0.034131795532475

medv,BstLm,pca,0.0469999999995707,Boosted Linear Model,7.40741368595203,8340.20618225407,745.622529134577,4.90541137588537,1.99558387002501,28.926648451297,91.3247293029334,98,0.858520675063723

medv,dnn,pca,0.0180000000000291,Stacked AutoEncoder Deep Neural Network,4.55531315866381e+24,3.15413345197134e+51,6.92407600116899e+26,4.55531315866381e+24,Inf,4.55531315866381e+24,5.6161672446352e+25,101,

medv,BstLm,pca,0.109000000000037,Boosted Linear Model,7.40741368595203,8340.20618225407,745.622529134577,4.90541137588537,1.99558387002501,28.926648451297,91.3247293029334,98,1.86018285651164

medv,dnn,pca,0.0380000000000109,Stacked AutoEncoder Deep Neural Network,4.55531315866381e+24,3.15413345197134e+51,6.92407600116899e+26,4.55531315866381e+24,Inf,4.55531315866381e+24,5.6161672446352e+25,101,

medv,widekernelpls,pca,0.00200000000040745,Partial Least Squares,5.42387142216707,4471.5939430385,543.625216846548,3.57648168977992,0.682834030727267,28.1968977365301,66.8699778902199,111,0.0365327946913391

medv,rvmLinear,pca,0.0320000000001528,Relevance Vector Machines with Linear Kernel,5.72039040280196,4973.87568679125,539.415534500556,3.54878641118787,0.626011610536545,31.717823485665,70.5257094029635,112,0.584524714945133

medv,svmRadialCost,pca,0.0369999999993524,Support Vector Machines with Radial Basis Function Kernel,9.91955791122855,14956.439631441,1020.91644541136,6.71655556191686,686.729349462751,29.1402570362835,122.296523382478,114,0.675856701640254

medv,foba,pca,0.0199999999995271,Ridge Regression with Variable Selection,5.53702571363906,4660.11537053201,547.605453422261,3.6026674567254,0.719301706176578,29.3148950750936,68.2650376879118,116,0.365327946830325

medv,widekernelpls,pca,0.00200000000000955,Partial Least Squares,5.42387142216707,4471.5939430385,543.625216846548,3.57648168977992,0.682834030727267,28.1968977365301,66.8699778902199,111,0.034131795532475

medv,rvmLinear,pca,0.0260000000000105,Relevance Vector Machines with Linear Kernel,5.72039040280196,4973.87568679125,539.415534500556,3.54878641118787,0.626011610536545,31.717823485665,70.5257094029635,112,0.443713341920235

medv,svmRadialCost,pca,0.0330000000000155,Support Vector Machines with Radial Basis Function Kernel,9.91955791122855,14956.439631441,1020.91644541136,6.71655556191686,686.729349462751,29.1402570362835,122.296523382478,114,0.563174626283412

medv,foba,pca,0.0470000000000255,Ridge Regression with Variable Selection,5.53702571363906,4660.11537053201,547.605453422261,3.6026674567254,0.719301706176578,29.3148950750936,68.2650376879118,116,0.802097195009767

medv,bayesglm,BoxCox,0.00200000000040745,Bayesian Generalized Linear Model,5.42567950000406,4474.57570158817,543.621796629905,3.57645918835464,0.682562883208476,28.20919367642,66.8922693708934,132,0.0365327946913391

medv,glm,BoxCox,0.00199999999949796,Generalized Linear Model,5.42386819205534,4471.58861704802,543.624660037285,3.57647802656108,0.682833794547201,28.1968092191595,66.8699380667279,135,0.0365327946747259

medv,lmStepAIC,BoxCox,0.00299999999970169,Linear Regression with Stepwise Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,136,0.0547991920203954

medv,glmStepAIC,BoxCox,0.00199999999949796,Generalized Linear Model with Stepwise Feature Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,137,0.0365327946747259

medv,leapBackward,BoxCox,0.0560000000004948,Linear Regression with Backwards Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,138,1.02291825115814

medv,leapForward,BoxCox,0.0619999999998981,Linear Regression with Forward Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,139,1.13251663519893

medv,leapSeq,BoxCox,0.0600000000004002,Linear Regression with Stepwise Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200603,28.1884518732282,66.829855971855,140,1.0959838405242

medv,bayesglm,BoxCox,0.00199999999995271,Bayesian Generalized Linear Model,5.42567950000406,4474.57570158817,543.621796629905,3.57645918835464,0.682562883208476,28.20919367642,66.8922693708934,132,0.0341317955315049

medv,glm,BoxCox,0.00199999999995271,Generalized Linear Model,5.42386819205534,4471.58861704802,543.624660037285,3.57647802656108,0.682833794547201,28.1968092191595,66.8699380667279,135,0.0341317955315049

medv,lmStepAIC,BoxCox,0.000999999999976353,Linear Regression with Stepwise Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,136,0.0170658977657525

medv,glmStepAIC,BoxCox,0.00199999999995271,Generalized Linear Model with Stepwise Feature Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,137,0.0341317955315049

medv,leapBackward,BoxCox,0.0499999999999545,Linear Regression with Backwards Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,138,0.853294888307024

medv,leapForward,BoxCox,0.0470000000000255,Linear Regression with Forward Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,139,0.802097195009767

medv,leapSeq,BoxCox,0.0469999999999118,Linear Regression with Stepwise Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200603,28.1884518732282,66.829855971855,140,0.802097195007827

medv,rbf,BoxCox,0.0169999999998254,Radial Basis Function Network,9.64954934181884,14153.2979800299,1004.28339309692,6.60712758616397,109.817624974303,27.8199119567871,118.967634170096,145,0.310528754809929

medv,rbf,BoxCox,0.0149999999999864,Radial Basis Function Network,9.64954934181884,14153.2979800299,1004.28339309692,6.60712758616397,109.817624974303,27.8199119567871,118.967634170096,145,0.255988466492107

medv,Boruta,BoxCox,0,failed @ fitting,,,,,,,,146,

medv,qrf,BoxCox,0.0450000000000728,Quantile Random Forest,6.90764669730125,7252.7686,719.62,4.73434210526316,1.1167645482156,33.9,85.1631880568124,147,0.821987880388997

medv,parRF,BoxCox,0.00999999999930878,Parallel Random Forest,4.2770839312369,2780.60393713642,403.27507936508,2.65312552213868,0.491446858893271,21.3965079365079,52.7314321551807,148,0.182663973406856

medv,qrf,BoxCox,0.0430000000000064,Quantile Random Forest,6.90764669730125,7252.7686,719.62,4.73434210526316,1.1167645482156,33.9,85.1631880568124,147,0.733833603944817

medv,parRF,BoxCox,0.00999999999999091,Parallel Random Forest,4.2770839312369,2780.60393713642,403.27507936508,2.65312552213868,0.491446858893271,21.3965079365079,52.7314321551807,148,0.170658977661405

medv,cforest,BoxCox,0.378999999999905,Conditional Inference Random Forest,4.94323865187207,3714.21247214303,453.166093575154,2.98135587878391,0.546237849018575,27.2009772535805,60.9443391312354,150,6.92296459259663

medv,cforest,BoxCox,0.327999999999975,Conditional Inference Random Forest,4.94323865187207,3714.21247214303,453.166093575154,2.98135587878391,0.546237849018575,27.2009772535805,60.9443391312354,150,5.59761446729874

medv,kernelpls,BoxCox,0.00300000000061118,Partial Least Squares,5.42386819205533,4471.58861704802,543.624660037282,3.57647802656107,0.682833794547197,28.1968092191596,66.8699380667279,152,0.0547991920370086

medv,pls,BoxCox,0.00299999999970169,Partial Least Squares,5.58696230668208,4744.55046807553,551.434161955752,3.62785632865626,0.672275763658373,29.0360421030358,68.8806973547418,154,0.0547991920203954

medv,simpls,BoxCox,0.00200000000040745,Partial Least Squares,5.58696230660709,4744.55046794815,551.434161948198,3.62785632860657,0.672275763651848,29.0360421027633,68.8806973538172,155,0.0365327946913391

medv,kernelpls,BoxCox,0.00200000000006639,Partial Least Squares,5.42386819205533,4471.58861704802,543.624660037282,3.57647802656107,0.682833794547197,28.1968092191596,66.8699380667279,152,0.0341317955334451

medv,pls,BoxCox,0.00199999999995271,Partial Least Squares,5.58696230668208,4744.55046807553,551.434161955752,3.62785632865626,0.672275763658373,29.0360421030358,68.8806973547418,154,0.0341317955315049

medv,simpls,BoxCox,0.00200000000006639,Partial Least Squares,5.58696230660709,4744.55046794815,551.434161948198,3.62785632860657,0.672275763651848,29.0360421027633,68.8806973538172,155,0.0341317955334451

medv,BstLm,BoxCox,0.0479999999997745,Boosted Linear Model,7.40741368595203,8340.20618225407,745.622529134577,4.90541137588537,1.99558387002501,28.926648451297,91.3247293029334,162,0.876787072409393

medv,dnn,BoxCox,0.024000000000342,Stacked AutoEncoder Deep Neural Network,7.27268035925202e+23,8.0395657003932e+49,1.10544741460631e+26,7.27268035925202e+23,Inf,7.27268035925202e+23,8.96636252913811e+24,165,

medv,BstLm,BoxCox,0.0529999999999973,Boosted Linear Model,7.40741368595203,8340.20618225407,745.622529134577,4.90541137588537,1.99558387002501,28.926648451297,91.3247293029334,162,0.904492581606222

medv,dnn,BoxCox,0.0249999999999773,Stacked AutoEncoder Deep Neural Network,7.27268035925202e+23,8.0395657003932e+49,1.10544741460631e+26,7.27268035925202e+23,Inf,7.27268035925202e+23,8.96636252913811e+24,165,

medv,widekernelpls,BoxCox,0.00199999999949796,Partial Least Squares,5.42387142216707,4471.5939430385,543.625216846548,3.57648168977992,0.682834030727267,28.1968977365301,66.8699778902199,175,0.0365327946747259

medv,rvmLinear,BoxCox,0.00100000000020373,Relevance Vector Machines with Linear Kernel,5.72039040280196,4973.87568679125,539.415534500556,3.54878641118787,0.626011610536545,31.717823485665,70.5257094029635,176,0.0182663973456695

medv,svmRadialCost,BoxCox,0.0370000000002619,Support Vector Machines with Radial Basis Function Kernel,9.92085710671052,14960.3576712288,1021.1697829276,6.71822225610266,741.918723784722,29.1348852813495,122.312540940121,178,0.675856701656867

medv,foba,BoxCox,0.0200000000004366,Ridge Regression with Variable Selection,5.53702571363906,4660.11537053201,547.605453422261,3.6026674567254,0.719301706176578,29.3148950750936,68.2650376879118,180,0.365327946846938

medv,widekernelpls,BoxCox,0.00200000000006639,Partial Least Squares,5.42387142216707,4471.5939430385,543.625216846548,3.57648168977992,0.682834030727267,28.1968977365301,66.8699778902199,175,0.0341317955334451

medv,rvmLinear,BoxCox,0.00200000000006639,Relevance Vector Machines with Linear Kernel,5.72039040280196,4973.87568679125,539.415534500556,3.54878641118787,0.626011610536545,31.717823485665,70.5257094029635,176,0.0341317955334451

medv,svmRadialCost,BoxCox,0.0349999999999682,Support Vector Machines with Radial Basis Function Kernel,9.92085710671052,14960.3576712288,1021.1697829276,6.71822225610266,741.918723784722,29.1348852813495,122.312540940121,178,0.597306421814917

medv,foba,BoxCox,0.0199999999999818,Ridge Regression with Variable Selection,5.53702571363906,4660.11537053201,547.605453422261,3.6026674567254,0.719301706176578,29.3148950750936,68.2650376879118,180,0.34131795532281

medv,bayesglm,YeoJohnson,0.00299999999970169,Bayesian Generalized Linear Model,5.42567950000406,4474.57570158817,543.621796629905,3.57645918835464,0.682562883208476,28.20919367642,66.8922693708934,196,0.0547991920203954

medv,bayesglm,YeoJohnson,0.00199999999995271,Bayesian Generalized Linear Model,5.42567950000406,4474.57570158817,543.621796629905,3.57645918835464,0.682562883208476,28.20919367642,66.8922693708934,196,0.0341317955315049

medv,glm,YeoJohnson,0.00300000000061118,Generalized Linear Model,5.42386819205534,4471.58861704802,543.624660037285,3.57647802656108,0.682833794547201,28.1968092191595,66.8699380667279,199,0.0547991920370086

medv,lmStepAIC,YeoJohnson,0.00199999999949796,Linear Regression with Stepwise Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,200,0.0365327946747259

medv,glmStepAIC,YeoJohnson,0.00199999999949796,Generalized Linear Model with Stepwise Feature Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,201,0.0365327946747259

medv,leapBackward,YeoJohnson,0.0500000000001819,Linear Regression with Backwards Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,202,0.913319867100732

medv,leapForward,YeoJohnson,0.0510000000003856,Linear Regression with Forward Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,203,0.931586264446401

medv,leapSeq,YeoJohnson,0.0520000000005894,Linear Regression with Stepwise Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200603,28.1884518732282,66.829855971855,204,0.949852661792071

medv,glm,YeoJohnson,0.00200000000006639,Generalized Linear Model,5.42386819205534,4471.58861704802,543.624660037285,3.57647802656108,0.682833794547201,28.1968092191595,66.8699380667279,199,0.0341317955334451

medv,lmStepAIC,YeoJohnson,0.00199999999995271,Linear Regression with Stepwise Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,200,0.0341317955315049

medv,glmStepAIC,YeoJohnson,0.00199999999995271,Generalized Linear Model with Stepwise Feature Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,201,0.0341317955315049

medv,leapBackward,YeoJohnson,0.0460000000000491,Linear Regression with Backwards Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,202,0.785031297244015

medv,leapForward,YeoJohnson,0.0480000000000018,Linear Regression with Forward Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,203,0.81916309277552

medv,leapSeq,YeoJohnson,0.0489999999999782,Linear Regression with Stepwise Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200603,28.1884518732282,66.829855971855,204,0.836228990541272

medv,rbf,YeoJohnson,0.0180000000000291,Radial Basis Function Network,9.65123151632671,14158.2330068242,1005.84936447144,6.61743002941734,170.353363051351,27.8245620727539,118.98837341028,209,0.328795152155599

medv,rbf,YeoJohnson,0.0149999999999864,Radial Basis Function Network,9.65123151632671,14158.2330068242,1005.84936447144,6.61743002941734,170.353363051351,27.8245620727539,118.98837341028,209,0.255988466492107

medv,qrf,YeoJohnson,0.043999999999869,Quantile Random Forest,6.8828321416023,7200.7535,707.79,4.65651315789474,1.08840823324681,35,84.8572536675563,211,0.803721483043328

medv,parRF,YeoJohnson,0.0100000000002183,Parallel Random Forest,4.11029461214932,2567.96731339689,397.813703703704,2.61719541910332,0.489880637996581,20.1908201058201,50.6751153269224,212,0.182663973423469

medv,qrf,YeoJohnson,0.0430000000000064,Quantile Random Forest,6.8828321416023,7200.7535,707.79,4.65651315789474,1.08840823324681,35,84.8572536675563,211,0.733833603944817

medv,parRF,YeoJohnson,0.00999999999999091,Parallel Random Forest,4.11029461214932,2567.96731339689,397.813703703704,2.61719541910332,0.489880637996581,20.1908201058201,50.6751153269224,212,0.170658977661405

medv,cforest,YeoJohnson,0.445000000000618,Conditional Inference Random Forest,4.95581439300686,3733.13463728596,453.71783008706,2.98498572425698,0.546240383009825,27.205475810739,61.0993832807333,214,8.12854681717824

medv,kernelpls,YeoJohnson,0.00199999999949796,Partial Least Squares,5.42386819205533,4471.58861704802,543.624660037282,3.57647802656107,0.682833794547197,28.1968092191596,66.8699380667279,216,0.0365327946747259

medv,pls,YeoJohnson,0.00200000000040745,Partial Least Squares,5.58696230668208,4744.55046807553,551.434161955752,3.62785632865626,0.672275763658373,29.0360421030358,68.8806973547418,218,0.0365327946913391

medv,simpls,YeoJohnson,0.00199999999949796,Partial Least Squares,5.58696230660709,4744.55046794815,551.434161948198,3.62785632860657,0.672275763651848,29.0360421027633,68.8806973538172,219,0.0365327946747259

medv,cforest,YeoJohnson,0.331000000000017,Conditional Inference Random Forest,4.95581439300686,3733.13463728596,453.71783008706,2.98498572425698,0.546240383009825,27.205475810739,61.0993832807333,214,5.64881216059793

medv,kernelpls,YeoJohnson,0.00199999999995271,Partial Least Squares,5.42386819205533,4471.58861704802,543.624660037282,3.57647802656107,0.682833794547197,28.1968092191596,66.8699380667279,216,0.0341317955315049

medv,pls,YeoJohnson,0.00300000000004275,Partial Least Squares,5.58696230668208,4744.55046807553,551.434161955752,3.62785632865626,0.672275763658373,29.0360421030358,68.8806973547418,218,0.0511976932991975

medv,simpls,YeoJohnson,0.00200000000006639,Partial Least Squares,5.58696230660709,4744.55046794815,551.434161948198,3.62785632860657,0.672275763651848,29.0360421027633,68.8806973538172,219,0.0341317955334451

medv,BstLm,YeoJohnson,0.0469999999995707,Boosted Linear Model,7.40741368595203,8340.20618225407,745.622529134577,4.90541137588537,1.99558387002501,28.926648451297,91.3247293029334,226,0.858520675063723

medv,dnn,YeoJohnson,0.0180000000000291,Stacked AutoEncoder Deep Neural Network,2.70867099939734e+24,1.11520858461238e+51,4.11717991908396e+26,2.70867099939734e+24,Inf,2.70867099939734e+24,3.33947388762419e+25,229,

medv,BstLm,YeoJohnson,0.0500000000000682,Boosted Linear Model,7.40741368595203,8340.20618225407,745.622529134577,4.90541137588537,1.99558387002501,28.926648451297,91.3247293029334,226,0.853294888308965

medv,dnn,YeoJohnson,0.0169999999999391,Stacked AutoEncoder Deep Neural Network,2.70867099939734e+24,1.11520858461238e+51,4.11717991908396e+26,2.70867099939734e+24,Inf,2.70867099939734e+24,3.33947388762419e+25,229,

medv,widekernelpls,YeoJohnson,0.00200000000040745,Partial Least Squares,5.42387142216707,4471.5939430385,543.625216846548,3.57648168977992,0.682834030727267,28.1968977365301,66.8699778902199,239,0.0365327946913391

medv,rvmLinear,YeoJohnson,0.00199999999949796,Relevance Vector Machines with Linear Kernel,5.72039040280196,4973.87568679125,539.415534500556,3.54878641118787,0.626011610536545,31.717823485665,70.5257094029635,240,0.0365327946747259

medv,svmRadialCost,YeoJohnson,0.0380000000004657,Support Vector Machines with Radial Basis Function Kernel,9.92093431385627,14960.5905242973,1021.18585002933,6.71832796071925,746.243549358368,29.1345218484301,122.313492813742,242,0.694123099002537

medv,foba,YeoJohnson,0.0209999999997308,Ridge Regression with Variable Selection,5.53702571363906,4660.11537053201,547.605453422261,3.6026674567254,0.719301706176578,29.3148950750936,68.2650376879118,244,0.383594344175994

medv,widekernelpls,YeoJohnson,0.00199999999995271,Partial Least Squares,5.42387142216707,4471.5939430385,543.625216846548,3.57648168977992,0.682834030727267,28.1968977365301,66.8699778902199,239,0.0341317955315049

medv,rvmLinear,YeoJohnson,0.000999999999976353,Relevance Vector Machines with Linear Kernel,5.72039040280196,4973.87568679125,539.415534500556,3.54878641118787,0.626011610536545,31.717823485665,70.5257094029635,240,0.0170658977657525

medv,svmRadialCost,YeoJohnson,0.0319999999999254,Support Vector Machines with Radial Basis Function Kernel,9.92093431385627,14960.5905242973,1021.18585002933,6.71832796071925,746.243549358368,29.1345218484301,122.313492813742,242,0.54610872851572

medv,foba,YeoJohnson,0.0169999999999391,Ridge Regression with Variable Selection,5.53702571363906,4660.11537053201,547.605453422261,3.6026674567254,0.719301706176578,29.3148950750936,68.2650376879118,244,0.290120262023612

medv,bayesglm,expoTrans,0.00299999999970169,Bayesian Generalized Linear Model,5.42567950000406,4474.57570158817,543.621796629905,3.57645918835464,0.682562883208476,28.20919367642,66.8922693708934,260,0.0547991920203954

medv,glm,expoTrans,0.00199999999949796,Generalized Linear Model,5.42386819205534,4471.58861704802,543.624660037285,3.57647802656108,0.682833794547201,28.1968092191595,66.8699380667279,263,0.0365327946747259

medv,lmStepAIC,expoTrans,0.00199999999949796,Linear Regression with Stepwise Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,264,0.0365327946747259

medv,glmStepAIC,expoTrans,0.00200000000040745,Generalized Linear Model with Stepwise Feature Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,265,0.0365327946913391

medv,leapBackward,expoTrans,0.0500000000001819,Linear Regression with Backwards Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,266,0.913319867100732

medv,leapForward,expoTrans,0.0540000000000873,Linear Regression with Forward Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,267,0.986385456466797

medv,leapSeq,expoTrans,0.055000000000291,Linear Regression with Stepwise Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200603,28.1884518732282,66.829855971855,268,1.00465185381247

medv,bayesglm,expoTrans,0.00200000000006639,Bayesian Generalized Linear Model,5.42567950000406,4474.57570158817,543.621796629905,3.57645918835464,0.682562883208476,28.20919367642,66.8922693708934,260,0.0341317955334451

medv,glm,expoTrans,0.00200000000006639,Generalized Linear Model,5.42386819205534,4471.58861704802,543.624660037285,3.57647802656108,0.682833794547201,28.1968092191595,66.8699380667279,263,0.0341317955334451

medv,lmStepAIC,expoTrans,0.00200000000006639,Linear Regression with Stepwise Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,264,0.0341317955334451

medv,glmStepAIC,expoTrans,0.00200000000006639,Generalized Linear Model with Stepwise Feature Selection,5.38219690446979,4403.14261480959,540.44508463649,3.55555976734533,0.686520060805561,27.6230156527329,66.3561799292997,265,0.0341317955334451

medv,leapBackward,expoTrans,0.0460000000000491,Linear Regression with Backwards Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,266,0.785031297244015

medv,leapForward,expoTrans,0.0469999999999118,Linear Regression with Forward Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200604,28.1884518732283,66.829855971855,267,0.802097195007827

medv,leapSeq,expoTrans,0.0510000000000446,Linear Regression with Stepwise Selection,5.42061710485925,4466.22964921888,543.926506101538,3.57846385593117,0.682815438200603,28.1884518732282,66.829855971855,268,0.870360786074717

medv,rbf,expoTrans,0.0159999999996217,Radial Basis Function Network,9.64628331434287,14143.7188306466,1003.26051635742,6.60039813393041,89.3877993104639,27.8127899169922,118.927367879082,273,0.29226235746426

medv,rbf,expoTrans,0.0170000000000528,Radial Basis Function Network,9.64628331434287,14143.7188306466,1003.26051635742,6.60039813393041,89.3877993104639,27.8127899169922,118.927367879082,273,0.290120262025552

medv,qrf,expoTrans,0.0419999999994616,Quantile Random Forest,6.88034495577993,7195.5503,712.49,4.68743421052632,1.1012268814598,35,84.8265895813335,275,0.767188688351989

medv,parRF,expoTrans,0.0100000000002183,Parallel Random Forest,4.24132272966116,2734.30041156533,407.885582010582,2.68345777638541,0.519411209000883,20.4847354497355,52.2905384516677,276,0.182663973423469

medv,qrf,expoTrans,0.0459999999998217,Quantile Random Forest,6.88034495577993,7195.5503,712.49,4.68743421052632,1.1012268814598,35,84.8265895813335,275,0.785031297240134

medv,parRF,expoTrans,0.0100000000002183,Parallel Random Forest,4.24132272966116,2734.30041156533,407.885582010582,2.68345777638541,0.519411209000883,20.4847354497355,52.2905384516677,276,0.170658977665285

medv,cforest,expoTrans,0.341999999999644,Conditional Inference Random Forest,4.95028326256048,3724.80626569714,454.36480836095,2.98924216026941,0.547685369530421,27.022472299169,61.0311909247816,278,6.24710789093976

medv,cforest,expoTrans,0.329000000000178,Conditional Inference Random Forest,4.95028326256048,3724.80626569714,454.36480836095,2.98924216026941,0.547685369530421,27.022472299169,61.0311909247816,278,5.61468036506837

medv,kernelpls,expoTrans,0.00199999999949796,Partial Least Squares,5.42386819205533,4471.58861704802,543.624660037282,3.57647802656107,0.682833794547197,28.1968092191596,66.8699380667279,280,0.0365327946747259

medv,pls,expoTrans,0.00199999999949796,Partial Least Squares,5.58696230668208,4744.55046807553,551.434161955752,3.62785632865626,0.672275763658373,29.0360421030358,68.8806973547418,282,0.0365327946747259

medv,simpls,expoTrans,0.00199999999949796,Partial Least Squares,5.58696230660709,4744.55046794815,551.434161948198,3.62785632860657,0.672275763651848,29.0360421027633,68.8806973538172,283,0.0365327946747259

medv,kernelpls,expoTrans,0.00300000000015643,Partial Least Squares,5.42386819205533,4471.58861704802,543.624660037282,3.57647802656107,0.682833794547197,28.1968092191596,66.8699380667279,280,0.0511976933011377

medv,pls,expoTrans,0.00199999999995271,Partial Least Squares,5.58696230668208,4744.55046807553,551.434161955752,3.62785632865626,0.672275763658373,29.0360421030358,68.8806973547418,282,0.0341317955315049

medv,simpls,expoTrans,0.00200000000018008,Partial Least Squares,5.58696230660709,4744.55046794815,551.434161948198,3.62785632860657,0.672275763651848,29.0360421027633,68.8806973538172,283,0.0341317955353852