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  1. cross_validator,cross_validator_seed,dataset,estimator,score_mean,score_metric,score_std,type
  2. 10-fold,1,breast_cancer,bigml_classification_tree,0.951226309921962,accuracy,0.016386917052496,classification
  3. 10-fold,1,breast_cancer,bigml_classification_tree,0.928196003807927,macro_avg_f1,0.028101360669502,classification
  4. 10-fold,1,breast_cancer,bigml_classification_tree,0.891608738468192,macro_avg_phi_coef,0.039332492035009,classification
  5. 10-fold,1,breast_cancer,weka_boosted_trees,0.965384615384615,accuracy,0.022793309418442,classification
  6. 10-fold,1,breast_cancer,weka_boosted_trees,0.950151005198885,macro_avg_f1,0.034046100841199,classification
  7. 10-fold,1,breast_cancer,weka_boosted_trees,0.924307743944268,macro_avg_phi_coef,0.050785360819803,classification
  8. 10-fold,1,breast_cancer,weka_j48_tree,0.940914158305462,accuracy,0.0233316048344,classification
  9. 10-fold,1,breast_cancer,weka_j48_tree,0.913608253477239,macro_avg_f1,0.036645992774037,classification
  10. 10-fold,1,breast_cancer,weka_j48_tree,0.871394669196381,macro_avg_phi_coef,0.052594800049204,classification
  11. 10-fold,1,breast_cancer,weka_knn_3_clf,0.965551839464883,accuracy,0.0118029615281,classification
  12. 10-fold,1,breast_cancer,weka_knn_3_clf,0.949103825339267,macro_avg_f1,0.020051339461581,classification
  13. 10-fold,1,breast_cancer,weka_knn_3_clf,0.923664082753319,macro_avg_phi_coef,0.028459383222066,classification
  14. 10-fold,1,breast_cancer,weka_naive_bayes,0.960869565217391,accuracy,0.018389242812246,classification
  15. 10-fold,1,breast_cancer,weka_naive_bayes,0.943736439119476,macro_avg_f1,0.028897005829922,classification
  16. 10-fold,1,breast_cancer,weka_naive_bayes,0.915430987712097,macro_avg_phi_coef,0.041641500115954,classification
  17. 10-fold,1,breast_cancer,weka_svm_rbf,0.664102564102564,accuracy,0.034545435278461,classification
  18. 10-fold,1,breast_cancer,weka_svm_rbf,0.049404942883204,macro_avg_f1,0.0407654741452,classification
  19. 10-fold,1,breast_cancer,weka_svm_rbf,0.101693553095898,macro_avg_phi_coef,0.083587522106414,classification
  20. 10-fold,1,diabetes,bigml_classification_tree,0.704573934837093,accuracy,0.068278635967424,classification
  21. 10-fold,1,diabetes,bigml_classification_tree,0.559577181464978,macro_avg_f1,0.10007245150889,classification
  22. 10-fold,1,diabetes,bigml_classification_tree,0.341016458258455,macro_avg_phi_coef,0.147369740712292,classification
  23. 10-fold,1,diabetes,weka_boosted_trees,0.734210526315789,accuracy,0.025514104512718,classification
  24. 10-fold,1,diabetes,weka_boosted_trees,0.59437996031381,macro_avg_f1,0.069297670369576,classification
  25. 10-fold,1,diabetes,weka_boosted_trees,0.400992375706477,macro_avg_phi_coef,0.078136961714044,classification
  26. 10-fold,1,diabetes,weka_j48_tree,0.735275689223058,accuracy,0.039855977882827,classification
  27. 10-fold,1,diabetes,weka_j48_tree,0.594165600696767,macro_avg_f1,0.080564270124875,classification
  28. 10-fold,1,diabetes,weka_j48_tree,0.405325558780458,macro_avg_phi_coef,0.096995343829099,classification
  29. 10-fold,1,diabetes,weka_knn_3_clf,0.738784461152882,accuracy,0.034612846809588,classification
  30. 10-fold,1,diabetes,weka_knn_3_clf,0.588586128735434,macro_avg_f1,0.08722174201729,classification
  31. 10-fold,1,diabetes,weka_knn_3_clf,0.403278772386714,macro_avg_phi_coef,0.09220359589005,classification
  32. 10-fold,1,diabetes,weka_naive_bayes,0.753571428571428,accuracy,0.048636287267255,classification
  33. 10-fold,1,diabetes,weka_naive_bayes,0.623834750948419,macro_avg_f1,0.081635695460394,classification
  34. 10-fold,1,diabetes,weka_naive_bayes,0.444925808695859,macro_avg_phi_coef,0.112899862337749,classification
  35. 10-fold,1,diabetes,weka_svm_rbf,0.651503759398496,accuracy,0.037567659955953,classification
  36. 10-fold,1,diabetes,weka_svm_rbf,0,macro_avg_f1,0,classification
  37. 10-fold,1,diabetes,weka_svm_rbf,0,macro_avg_phi_coef,0,classification
  38. 10-fold,1,glass,bigml_classification_tree,0.967428571428572,accuracy,0.03021855386567,classification
  39. 10-fold,1,glass,bigml_classification_tree,0.934943454116964,macro_avg_f1,0.106892252401758,classification
  40. 10-fold,1,glass,bigml_classification_tree,0.931575850170558,macro_avg_phi_coef,0.108091047226758,classification
  41. 10-fold,1,glass,weka_boosted_trees,0.976952380952381,accuracy,0.023148147543462,classification
  42. 10-fold,1,glass,weka_boosted_trees,0.936527260179434,macro_avg_f1,0.083523592777672,classification
  43. 10-fold,1,glass,weka_boosted_trees,0.935405712742695,macro_avg_phi_coef,0.083430615126526,classification
  44. 10-fold,1,glass,weka_j48_tree,0.976952380952381,accuracy,0.023148147543462,classification
  45. 10-fold,1,glass,weka_j48_tree,0.936527260179434,macro_avg_f1,0.083523592777672,classification
  46. 10-fold,1,glass,weka_j48_tree,0.935405712742695,macro_avg_phi_coef,0.083430615126526,classification
  47. 10-fold,1,glass,weka_knn_3_clf,0.90152380952381,accuracy,0.075376846141507,classification
  48. 10-fold,1,glass,weka_knn_3_clf,0.78677456083648,macro_avg_f1,0.166784058864142,classification
  49. 10-fold,1,glass,weka_knn_3_clf,0.778539149581789,macro_avg_phi_coef,0.172134608192175,classification
  50. 10-fold,1,glass,weka_naive_bayes,0.830857142857143,accuracy,0.078511318998501,classification
  51. 10-fold,1,glass,weka_naive_bayes,0.796917707160102,macro_avg_f1,0.107159628016662,classification
  52. 10-fold,1,glass,weka_naive_bayes,0.766899316690241,macro_avg_phi_coef,0.117273292868926,classification
  53. 10-fold,1,glass,weka_svm_rbf,0.977714285714286,accuracy,0.028698763869182,classification
  54. 10-fold,1,glass,weka_svm_rbf,0.948903232790701,macro_avg_f1,0.079168104014354,classification
  55. 10-fold,1,glass,weka_svm_rbf,0.945836818243419,macro_avg_phi_coef,0.08189026708681,classification
  56. 10-fold,1,iris,bigml_classification_tree,0.953333333333333,accuracy,0.042687494916219,classification
  57. 10-fold,1,iris,bigml_classification_tree,0.949955632602692,macro_avg_f1,0.047659951792652,classification
  58. 10-fold,1,iris,bigml_classification_tree,0.929905393298776,macro_avg_phi_coef,0.065947279050746,classification
  59. 10-fold,1,iris,weka_boosted_trees,0.926666666666667,accuracy,0.046666666666667,classification
  60. 10-fold,1,iris,weka_boosted_trees,0.892455632602692,macro_avg_f1,0.097614092271965,classification
  61. 10-fold,1,iris,weka_boosted_trees,0.859587932981316,macro_avg_phi_coef,0.108120729266006,classification
  62. 10-fold,1,iris,weka_j48_tree,0.946666666666667,accuracy,0.049888765156986,classification
  63. 10-fold,1,iris,weka_j48_tree,0.943288965936025,macro_avg_f1,0.053870960056862,classification
  64. 10-fold,1,iris,weka_j48_tree,0.919905393298777,macro_avg_phi_coef,0.075641454807929,classification
  65. 10-fold,1,iris,weka_knn_3_clf,0.946666666666667,accuracy,0.049888765156986,classification
  66. 10-fold,1,iris,weka_knn_3_clf,0.921175676175676,macro_avg_f1,0.1031606716506,classification
  67. 10-fold,1,iris,weka_knn_3_clf,0.898418606543324,macro_avg_phi_coef,0.114343263027383,classification
  68. 10-fold,1,iris,weka_naive_bayes,0.953333333333333,accuracy,0.042687494916219,classification
  69. 10-fold,1,iris,weka_naive_bayes,0.919814444814445,macro_avg_f1,0.103448583106163,classification
  70. 10-fold,1,iris,weka_naive_bayes,0.901060510032628,macro_avg_phi_coef,0.113109152168249,classification
  71. 10-fold,1,iris,weka_svm_rbf,0.966666666666667,accuracy,0.044721359549996,classification
  72. 10-fold,1,iris,weka_svm_rbf,0.962696007696008,macro_avg_f1,0.050723817236708,classification
  73. 10-fold,1,iris,weka_svm_rbf,0.948492918081535,macro_avg_phi_coef,0.069874459271534,classification
  74. 10-fold,1,pendigits,bigml_classification_tree,0.965168431746977,accuracy,0.00368184138007,classification
  75. 10-fold,1,pendigits,bigml_classification_tree,0.964857053721874,macro_avg_f1,0.003889018461871,classification
  76. 10-fold,1,pendigits,bigml_classification_tree,0.96112946093136,macro_avg_phi_coef,0.004260609361135,classification
  77. 10-fold,1,pendigits,weka_boosted_trees,0.989725299957269,accuracy,0.002391162807042,classification
  78. 10-fold,1,pendigits,weka_boosted_trees,0.989678544944292,macro_avg_f1,0.002708145678401,classification
  79. 10-fold,1,pendigits,weka_boosted_trees,0.9885946106445,macro_avg_phi_coef,0.002942036102772,classification
  80. 10-fold,1,pendigits,weka_j48_tree,0.96010422041252,accuracy,0.00705779364467,classification
  81. 10-fold,1,pendigits,weka_j48_tree,0.960209218586964,macro_avg_f1,0.007099435386359,classification
  82. 10-fold,1,pendigits,weka_j48_tree,0.955942975008047,macro_avg_phi_coef,0.007889031922313,classification
  83. 10-fold,1,pendigits,weka_knn_3_clf,0.99439677870627,accuracy,0.002213478571591,classification
  84. 10-fold,1,pendigits,weka_knn_3_clf,0.994310722301037,macro_avg_f1,0.002253871244657,classification
  85. 10-fold,1,pendigits,weka_knn_3_clf,0.993713103609172,macro_avg_phi_coef,0.002490454943369,classification
  86. 10-fold,1,pendigits,weka_naive_bayes,0.880571173250922,accuracy,0.009518035393995,classification
  87. 10-fold,1,pendigits,weka_naive_bayes,0.877762238744393,macro_avg_f1,0.008662422210273,classification
  88. 10-fold,1,pendigits,weka_naive_bayes,0.867212588318019,macro_avg_phi_coef,0.009333127378116,classification
  89. 10-fold,1,pendigits,weka_svm_rbf,0.098745206091522,accuracy,0.008869676911991,classification
  90. 10-fold,1,pendigits,weka_svm_rbf,0.030874916853079,macro_avg_f1,0.012590420370936,classification
  91. 10-fold,1,pendigits,weka_svm_rbf,0.035143388900732,macro_avg_phi_coef,0.021177266591916,classification
  92. 10-fold,1,wine,bigml_classification_tree,0.915294117647059,accuracy,0.063963657501497,classification
  93. 10-fold,1,wine,bigml_classification_tree,0.898911388425118,macro_avg_f1,0.070986035269931,classification
  94. 10-fold,1,wine,bigml_classification_tree,0.864080579687316,macro_avg_phi_coef,0.098251804250762,classification
  95. 10-fold,1,wine,weka_boosted_trees,0.966588235294118,accuracy,0.027816502035071,classification
  96. 10-fold,1,wine,weka_boosted_trees,0.955805239594713,macro_avg_f1,0.0432054621438,classification
  97. 10-fold,1,wine,weka_boosted_trees,0.942457117293388,macro_avg_phi_coef,0.05087614091305,classification
  98. 10-fold,1,wine,weka_j48_tree,0.948941176470588,accuracy,0.041294620409207,classification
  99. 10-fold,1,wine,weka_j48_tree,0.937564498853973,macro_avg_f1,0.048608671890465,classification
  100. 10-fold,1,wine,weka_j48_tree,0.916864597922742,macro_avg_phi_coef,0.062585529460819,classification
  101. 10-fold,1,wine,weka_knn_3_clf,0.958588235294118,accuracy,0.04633800894152,classification
  102. 10-fold,1,wine,weka_knn_3_clf,0.957058099852218,macro_avg_f1,0.048217487710731,classification
  103. 10-fold,1,wine,weka_knn_3_clf,0.939477585662414,macro_avg_phi_coef,0.06667042612509,classification
  104. 10-fold,1,wine,weka_naive_bayes,0.968470588235294,accuracy,0.041497237995386,classification
  105. 10-fold,1,wine,weka_naive_bayes,0.968590456384574,macro_avg_f1,0.040022051233726,classification
  106. 10-fold,1,wine,weka_naive_bayes,0.954068112954002,macro_avg_phi_coef,0.058353386558566,classification
  107. 10-fold,1,wine,weka_svm_rbf,0.440235294117647,accuracy,0.120614114870036,classification
  108. 10-fold,1,wine,weka_svm_rbf,0.270209880212169,macro_avg_f1,0.092280636765713,classification
  109. 10-fold,1,wine,weka_svm_rbf,0.133644503654394,macro_avg_phi_coef,0.121144000422805,classification
  110. 10-fold,1,breast_cancer,prior_veritable_clf,0.971014492753623,accuracy,0.018332044406773,classification
  111. 10-fold,1,breast_cancer,prior_veritable_clf,0.957713898504596,macro_avg_f1,0.029131025455308,classification
  112. 10-fold,1,breast_cancer,prior_veritable_clf,0.936453832370214,macro_avg_phi_coef,0.042031386113793,classification
  113. 10-fold,1,diabetes,prior_veritable_clf,0.758270676691729,accuracy,0.042923046544939,classification
  114. 10-fold,1,diabetes,prior_veritable_clf,0.581134247690686,macro_avg_f1,0.073936655458044,classification
  115. 10-fold,1,diabetes,prior_veritable_clf,0.440124541197298,macro_avg_phi_coef,0.091454780652115,classification
  116. 10-fold,1,glass,prior_veritable_clf,0.932380952380952,accuracy,0.072961332286837,classification
  117. 10-fold,1,glass,prior_veritable_clf,0.828878277463552,macro_avg_f1,0.198970939100008,classification
  118. 10-fold,1,glass,prior_veritable_clf,0.825152346272562,macro_avg_phi_coef,0.202883687133711,classification
  119. 10-fold,1,iris,prior_veritable_clf,0.953333333333333,accuracy,0.042687494916219,classification
  120. 10-fold,1,iris,prior_veritable_clf,0.920406445406446,macro_avg_f1,0.103560626299866,classification
  121. 10-fold,1,iris,prior_veritable_clf,0.901620527055097,macro_avg_phi_coef,0.113127432503581,classification
  122. 10-fold,1,wine,prior_veritable_clf,0.974352941176471,accuracy,0.031941988939943,classification
  123. 10-fold,1,wine,prior_veritable_clf,0.975441011230485,macro_avg_f1,0.031458321543618,classification
  124. 10-fold,1,wine,prior_veritable_clf,0.963103874705891,macro_avg_phi_coef,0.046093331168768,classification
  125. 10-fold,1,diabetes,google_predict_clf,0.760401002506266,accuracy,0.048088472399905,classification
  126. 10-fold,1,diabetes,google_predict_clf,0.6149472288215,macro_avg_f1,0.069268995528017,classification
  127. 10-fold,1,diabetes,google_predict_clf,0.45482121493494,macro_avg_phi_coef,0.109245349668621,classification
  128. 10-fold,1,glass,google_predict_clf,0.961904761904762,accuracy,0.041513323271816,classification
  129. 10-fold,1,glass,google_predict_clf,0.89,macro_avg_f1,0.147359474805032,classification
  130. 10-fold,1,glass,google_predict_clf,0.888869652339296,macro_avg_phi_coef,0.147177689218105,classification
  131. 10-fold,1,iris,google_predict_clf,0.973333333333333,accuracy,0.044221663871405,classification
  132. 10-fold,1,iris,google_predict_clf,0.969088134088134,macro_avg_f1,0.050917237553235,classification
  133. 10-fold,1,iris,google_predict_clf,0.957794361139438,macro_avg_phi_coef,0.069914132640715,classification
  134. 10-fold,1,wine,google_predict_clf,0.966588235294118,accuracy,0.038285758552737,classification
  135. 10-fold,1,wine,google_predict_clf,0.96756205644313,macro_avg_f1,0.035681382678228,classification
  136. 10-fold,1,wine,google_predict_clf,0.952334058224315,macro_avg_phi_coef,0.052106419253482,classification
  137. 10-fold,1,pendigits,google_predict_clf,0.983052569428561,accuracy,0.004226069705338,classification
  138. 10-fold,1,pendigits,google_predict_clf,0.982762376081588,macro_avg_f1,0.004642463924349,classification
  139. 10-fold,1,pendigits,google_predict_clf,0.98095032468926,macro_avg_phi_coef,0.005086024305822,classification
  140. 10-fold,1,breast_cancer,google_predict_clf,0.956522,accuracy,0.012551,classification
  141. 10-fold,1,breast_cancer,google_predict_clf,0.936725,macro_avg_f1,0.023127,classification
  142. 10-fold,1,breast_cancer,google_predict_clf,0.904882,macro_avg_phi_coef,0.031323,classification
  143. 10-fold,1,abalone,weka_additive_m5p,4.54992467826173,mean_squared_error,0.69959856521352,regression
  144. 10-fold,1,abalone,weka_additive_m5p,0.561441208377698,r2_score,0.043725376290232,regression
  145. 10-fold,1,abalone,weka_knn_3_reg,5.60703580539286,mean_squared_error,0.703635281332986,regression
  146. 10-fold,1,abalone,weka_knn_3_reg,0.45766452388648,r2_score,0.05292216267921,regression
  147. 10-fold,1,abalone,weka_linear_regression,4.91433700570902,mean_squared_error,0.627884170118274,regression
  148. 10-fold,1,abalone,weka_linear_regression,0.524356912405225,r2_score,0.049632216308787,regression
  149. 10-fold,1,abalone,weka_m5p_tree,4.55110670311694,mean_squared_error,0.699744317807047,regression
  150. 10-fold,1,abalone,weka_m5p_tree,0.561339510933719,r2_score,0.043634828015723,regression
  151. 10-fold,1,abalone,weka_smo_reg,5.07651287058334,mean_squared_error,0.627170523728217,regression
  152. 10-fold,1,abalone,weka_smo_reg,0.50927437907874,r2_score,0.04184211388264,regression
  153. 10-fold,1,coil_2000,weka_additive_m5p,0.05488533321859,mean_squared_error,0.005790933239239,regression
  154. 10-fold,1,coil_2000,weka_additive_m5p,0.022713030026238,r2_score,0.034373206426247,regression
  155. 10-fold,1,coil_2000,weka_knn_3_reg,0.068336849984112,mean_squared_error,0.006212479887392,regression
  156. 10-fold,1,coil_2000,weka_knn_3_reg,-0.219439432668953,r2_score,0.062711362336138,regression
  157. 10-fold,1,coil_2000,weka_linear_regression,0.054065457252389,mean_squared_error,0.005004972623676,regression
  158. 10-fold,1,coil_2000,weka_linear_regression,0.035925346751917,r2_score,0.037764920820893,regression
  159. 10-fold,1,coil_2000,weka_m5p_tree,0.053966083939415,mean_squared_error,0.005419128007854,regression
  160. 10-fold,1,coil_2000,weka_m5p_tree,0.038481984868146,r2_score,0.03670255821291,regression
  161. 10-fold,1,coil_2000,weka_smo_reg,0.059667425227722,mean_squared_error,0.006258612638789,regression
  162. 10-fold,1,coil_2000,weka_smo_reg,-0.06175230019412,r2_score,0.007244003730246,regression
  163. 10-fold,1,abalone,bigml_regression_tree,6.97421088643514,mean_squared_error,0.579670182091557,regression
  164. 10-fold,1,abalone,bigml_regression_tree,0.322677436860679,r2_score,0.06526995008768,regression
  165. 10-fold,1,coil_2000,bigml_regression_tree,0.099562076226359,mean_squared_error,0.008063907499774,regression
  166. 10-fold,1,coil_2000,bigml_regression_tree,-0.784941265905169,r2_score,0.187188130886462,regression
  167. 10-fold,1,concrete,bigml_regression_tree,48.4123000459789,mean_squared_error,19.516299059764,regression
  168. 10-fold,1,concrete,bigml_regression_tree,0.823146416957591,r2_score,0.071772768042928,regression
  169. 10-fold,1,concrete,weka_additive_m5p,37.4607368087379,mean_squared_error,6.70626396022337,regression
  170. 10-fold,1,concrete,weka_additive_m5p,0.862849721550737,r2_score,0.027888157379538,regression
  171. 10-fold,1,concrete,weka_knn_3_reg,81.1957176951456,mean_squared_error,17.8455929410339,regression
  172. 10-fold,1,concrete,weka_knn_3_reg,0.70602437564346,r2_score,0.058452678003436,regression
  173. 10-fold,1,concrete,weka_linear_regression,109.274176883495,mean_squared_error,15.2013648348219,regression
  174. 10-fold,1,concrete,weka_linear_regression,0.60452015593516,r2_score,0.039183883223734,regression
  175. 10-fold,1,concrete,weka_m5p_tree,38.7255184359223,mean_squared_error,5.13677494328826,regression
  176. 10-fold,1,concrete,weka_m5p_tree,0.858964009431649,r2_score,0.018994556251257,regression
  177. 10-fold,1,concrete,weka_smo_reg,119.754272932039,mean_squared_error,22.439945387393,regression
  178. 10-fold,1,concrete,weka_smo_reg,0.56419613372891,r2_score,0.081814819129096,regression
  179. 10-fold,1,communities,weka_additive_m5p,0.019464509409114,mean_squared_error,0.002293895461941,regression
  180. 10-fold,1,communities,weka_additive_m5p,0.635899303641782,r2_score,0.050071880383268,regression
  181. 10-fold,1,communities,weka_knn_3_reg,0.087348456835904,mean_squared_error,0.010139704385443,regression
  182. 10-fold,1,communities,weka_knn_3_reg,-0.651912667472884,r2_score,0.332459741843092,regression
  183. 10-fold,1,communities,weka_linear_regression,0.019405039394014,mean_squared_error,0.002481980609832,regression
  184. 10-fold,1,communities,weka_linear_regression,0.636433465091892,r2_score,0.057352807562634,regression
  185. 10-fold,1,communities,weka_m5p_tree,0.019202958667723,mean_squared_error,0.001792032582392,regression
  186. 10-fold,1,communities,weka_m5p_tree,0.640025896469511,r2_score,0.049425870692006,regression
  187. 10-fold,1,communities,weka_smo_reg,0.01922243913657,mean_squared_error,0.003092471920479,regression
  188. 10-fold,1,communities,weka_smo_reg,0.641103992684875,r2_score,0.056554694297154,regression
  189. 10-fold,1,communities,bigml_regression_tree,0.033733325583782,mean_squared_error,0.004224716239447,regression
  190. 10-fold,1,communities,bigml_regression_tree,0.36247891024832,r2_score,0.139668357939383,regression
  191. 10-fold,1,auto_mpg,weka_additive_m5p,7.90250490654664,mean_squared_error,2.72153795691769,regression
  192. 10-fold,1,auto_mpg,weka_additive_m5p,0.86428278948242,r2_score,0.034031319668874,regression
  193. 10-fold,1,auto_mpg,weka_knn_3_reg,8.88153111451173,mean_squared_error,4.12348660223311,regression
  194. 10-fold,1,auto_mpg,weka_knn_3_reg,0.848152834944264,r2_score,0.059070982707936,regression
  195. 10-fold,1,auto_mpg,weka_linear_regression,11.532176500982,mean_squared_error,3.56939821173046,regression
  196. 10-fold,1,auto_mpg,weka_linear_regression,0.802126652606469,r2_score,0.03247599931947,regression
  197. 10-fold,1,auto_mpg,weka_m5p_tree,7.89340639536279,mean_squared_error,2.72334051708283,regression
  198. 10-fold,1,auto_mpg,weka_m5p_tree,0.864490667055228,r2_score,0.033868028722113,regression
  199. 10-fold,1,auto_mpg,weka_smo_reg,12.1218403062193,mean_squared_error,4.72454728862622,regression
  200. 10-fold,1,auto_mpg,weka_smo_reg,0.794097443903468,r2_score,0.048443160094442,regression
  201. 10-fold,1,auto_mpg,bigml_regression_tree,13.4463127683323,mean_squared_error,4.69563179693518,regression
  202. 10-fold,1,auto_mpg,bigml_regression_tree,0.76487398046169,r2_score,0.076827702909823,regression
  203. 10-fold,1,auto_mpg,prior_veritable_reg,14.9248392432455,mean_squared_error,4.47928145806367,regression
  204. 10-fold,1,auto_mpg,prior_veritable_reg,0.734196141178405,r2_score,0.087080143963041,regression
  205. 10-fold,1,concrete,prior_veritable_reg,116.801297102311,mean_squared_error,14.4501273100566,regression
  206. 10-fold,1,concrete,prior_veritable_reg,0.576098821804962,r2_score,0.040996457696531,regression
  207. 10-fold,1,abalone,prior_veritable_reg,5.08258053934211,mean_squared_error,0.701936050215711,regression
  208. 10-fold,1,abalone,prior_veritable_reg,0.509517745364222,r2_score,0.043877113232832,regression
  209. 10-fold,1,concrete,google_predict_reg,109.037305585005,mean_squared_error,15.2893425822412,regression
  210. 10-fold,1,concrete,google_predict_reg,0.605384256805329,r2_score,0.039555602560217,regression
  211. 10-fold,1,abalone,google_predict_reg,4.9150511508671,mean_squared_error,0.62649331426591,regression
  212. 10-fold,1,abalone,google_predict_reg,0.524291566090047,r2_score,0.049415635171014,regression
  213. 10-fold,1,coil_2000,google_predict_reg,0.053883740736006,mean_squared_error,0.005111250515672,regression
  214. 10-fold,1,coil_2000,google_predict_reg,0.039387872600548,r2_score,0.036871967301275,regression
  215. 10-fold,1,auto_mpg,google_predict_reg,85.1716775639449,mean_squared_error,107.159988934036,regression
  216. 10-fold,1,auto_mpg,google_predict_reg,-0.518749288218349,r2_score,1.70531183149744,regression
  217. 10-fold,1,communities,google_predict_reg,0.166552670127419,mean_squared_error,0.036545666627393,regression
  218. 10-fold,1,communities,google_predict_reg,-2.14488294659385,r2_score,0.872124135741322,regression
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