{"code": 200, "formatter": "summarize", "rules": "<pre><code class=\"summarize\">Data distribution:\n    0: 43.62% (359 instances)\n    1: 46.78% (385 instances)\n    2: 9.60% (79 instances)\n\n\nPredicted distribution:\n    0: 44.84% (369 instances)\n    1: 47.87% (394 instances)\n    2: 7.29% (60 instances)\n\n\nField importance:\n    1. y: 53.64%\n    2. x: 46.36%\n\n\nRules summary:\n\n\n0: (data 43.62% / prediction 44.84%) \n    \u00b7 3.25%: 0.22775 < y <= 0.2935  and 0.3575 < x <= 0.5405  [Confidence: 64.61%; impurity: 0.08%]\n\n    \u00b7 2.98%: 0.2975 < y <= 0.3095  and 0.4075 < x <= 0.62875  [Confidence: 62.26%; impurity: 0.08%]\n\n    \u00b7 2.17%: y <= 0.0366 [Confidence: 67.56%]\n\n    \u00b7 2.17%: 0.1025 < y <= 0.117  and 0.267 < x <= 0.515  [Confidence: 40.93%; impurity: 0.19%]\n\n    \u00b7 2.17%: 0.0475 < y <= 0.3545  and 0.965 < x <= 0.9765  [Confidence: 52.91%; impurity: 0.11%]\n\n    \u00b7 2.17%: 0.0366 < y <= 0.43403  and 0.97969 < x <= 0.9955  [Confidence: 67.56%]\n\n    \u00b7 2.17%: 0.585 < y <= 0.5905  and 0.297 < x <= 0.4405  [Confidence: 30.57%; impurity: 0.23%]\n\n    \u00b7 1.90%: 0.1265 < y <= 0.1325  and 0.5135 < x <= 0.67278  [Confidence: 48.69%; impurity: 0.12%]\n\n    \u00b7 1.90%: 0.5465 < y <= 0.6325  and 0.1435 < x <= 0.2014  [Confidence: 48.69%; impurity: 0.12%]\n\n    \u00b7 1.90%: 0.43403 < y <= 0.617  and 0.2105 < x <= 0.2285  [Confidence: 35.89%; impurity: 0.20%]\n\n    \u00b7 1.90%: 0.584 < y <= 0.8205  and 0.253 < x <= 0.297  [Confidence: 64.57%]\n\n    \u00b7 1.90%: 0.6335 < y <= 0.655  and 0.625 < x <= 0.6465  [Confidence: 48.69%; impurity: 0.12%]\n\n    \u00b7 1.63%: 0.2965 < y <= 0.43403  and 0.05 < x <= 0.09863  [Confidence: 60.97%]\n\n    \u00b7 1.63%: 0.3175 < y <= 0.337  and 0.3015 < x <= 0.4315  [Confidence: 30.00%; impurity: 0.22%]\n\n    \u00b7 1.63%: 0.1485 < y <= 0.281  and 0.67278 < x <= 0.7005  [Confidence: 30.00%; impurity: 0.22%]\n\n    \u00b7 1.63%: 0.1145 < y <= 0.1475  and 0.73471 < x <= 0.87  [Confidence: 43.65%; impurity: 0.14%]\n\n    \u00b7 1.63%: 0.27 < y <= 0.2995  and 0.7585 < x <= 0.87  [Confidence: 43.65%; impurity: 0.14%]\n\n    \u00b7 1.63%: 0.13 < y <= 0.3545  and 0.92088 < x <= 0.9455  [Confidence: 30.00%; impurity: 0.22%]\n\n    \u00b7 1.63%: 0.4885 < y <= 0.53  and 0.297 < x <= 0.4395  [Confidence: 43.65%; impurity: 0.14%]\n\n    \u00b7 1.63%: 0.8555 < y <= 0.901  and 0.302 < x <= 0.48511  [Confidence: 30.00%; impurity: 0.22%]\n\n    \u00b7 1.63%: 0.82 < y <= 0.89  and 0.49915 < x <= 0.55367  [Confidence: 30.00%; impurity: 0.22%]\n\n    \u00b7 1.36%: 0.20367 < y <= 0.22775  and 0.09863 < x <= 0.67278  [Confidence: 23.07%; impurity: 0.24%]\n\n    \u00b7 1.36%: 0.22775 < y <= 0.28  and 0.09863 < x <= 0.199  [Confidence: 23.07%; impurity: 0.24%]\n\n    \u00b7 1.36%: 0.28 < y <= 0.2935  and 0.09863 < x <= 0.3575  [Confidence: 37.55%; impurity: 0.16%]\n\n    \u00b7 1.36%: 0.0866 < y <= 0.0945  and 0.73471 < x <= 0.87  [Confidence: 23.07%; impurity: 0.24%]\n\n    \u00b7 1.36%: 0.3125 < y <= 0.31604  and 0.73471 < x <= 0.87  [Confidence: 23.07%; impurity: 0.24%]\n\n    \u00b7 1.36%: 0.7525 < y <= 0.8855  and 0.145 < x <= 0.2014  [Confidence: 37.55%; impurity: 0.16%]\n\n    \u00b7 1.36%: 0.9285 < y <= 0.93132  and 0.297 < x <= 0.48511  [Confidence: 56.55%]\n\n    \u00b7 1.36%: 0.6835 < y <= 0.6955  and 0.67376 < x <= 0.917  [Confidence: 23.07%; impurity: 0.24%]\n\n    \u00b7 1.36%: 0.5785 < y <= 0.64  and 0.92808 < x <= 0.98346  [Confidence: 37.55%; impurity: 0.16%]\n\n    \u00b7 1.36%: 0.695 < y <= 0.811  and 0.92808 < x <= 0.98346  [Confidence: 56.55%]\n\n    \u00b7 1.08%: 0.412 < y <= 0.422  and 0.09863 < x <= 0.621  [Confidence: 51.01%]\n\n    \u00b7 1.08%: 0.281 < y <= 0.3545  and 0.67278 < x <= 0.7005  [Confidence: 51.01%]\n\n    \u00b7 1.08%: 0.0866 < y <= 0.11  and 0.92088 < x <= 0.9455  [Confidence: 51.01%]\n\n    \u00b7 1.08%: 0.0475 < y <= 0.11  and 0.9455 < x <= 0.965  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 1.08%: 0.686 < y <= 0.93926  and 0.2105 < x <= 0.23333  [Confidence: 51.01%]\n\n    \u00b7 1.08%: 0.43403 < y <= 0.4795  and 0.297 < x <= 0.406  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 1.08%: 0.7455 < y <= 0.7725  and 0.5605 < x <= 0.67376  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 1.08%: 0.78217 < y <= 0.7835  and 0.55367 < x <= 0.67376  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 1.08%: 0.43403 < y <= 0.55  and x > 0.992 [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 0.81%: 0.311 < y <= 0.337  and 0.09863 < x <= 0.3015  [Confidence: 43.85%]\n\n    \u00b7 0.81%: 0.4 < y <= 0.407  and 0.2555 < x <= 0.4745  [Confidence: 20.77%; impurity: 0.22%]\n\n    \u00b7 0.81%: 0.0866 < y <= 0.3545  and 0.7225 < x <= 0.73471  [Confidence: 20.77%; impurity: 0.22%]\n\n    \u00b7 0.81%: 0.202 < y <= 0.2995  and 0.7445 < x <= 0.7495  [Confidence: 43.85%]\n\n    \u00b7 0.81%: 0.202 < y <= 0.263  and 0.8055 < x <= 0.8285  [Confidence: 43.85%]\n\n    \u00b7 0.81%: 0.6395 < y <= 0.6475  and x <= 0.2014 [Confidence: 43.85%]\n\n    \u00b7 0.81%: 0.68875 < y <= 0.7535  and 0.0385 < x <= 0.10475  [Confidence: 20.77%; impurity: 0.22%]\n\n    \u00b7 0.81%: 0.7525 < y <= 0.89075  and 0.1125 < x <= 0.126  [Confidence: 43.85%]\n\n    \u00b7 0.81%: 0.43403 < y <= 0.686  and 0.2295 < x <= 0.2305  [Confidence: 43.85%]\n\n    \u00b7 0.81%: 0.43403 < y <= 0.93926  and 0.2395 < x <= 0.2475  [Confidence: 43.85%]\n\n    \u00b7 0.81%: y > 0.43403 and 0.49426 < x <= 0.49915  [Confidence: 43.85%]\n\n    \u00b7 0.81%: 0.6335 < y <= 0.724  and 0.55367 < x <= 0.5695  [Confidence: 20.77%; impurity: 0.22%]\n\n    \u00b7 0.81%: 0.7855 < y <= 0.82125  and 0.55367 < x <= 0.67376  [Confidence: 43.85%]\n\n    \u00b7 0.81%: 0.8685 < y <= 0.8845  and 0.92808 < x <= 0.9765  [Confidence: 43.85%]\n\n    \u00b7 0.54%: 0.1515 < y <= 0.155  and 0.1615 < x <= 0.67278  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.311 < y <= 0.337  and 0.459 < x <= 0.62875  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.365 < y <= 0.412  and 0.4745 < x <= 0.621  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.3475 < y <= 0.43403  and 0.621 < x <= 0.67278  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.31604 < y <= 0.3465  and 0.73471 < x <= 0.758  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.3885 < y <= 0.4005  and 0.67278 < x <= 0.7805  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.5465 < y <= 0.5715  and 0.02 < x <= 0.1435  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.5715 < y <= 0.597  and 0.02 < x <= 0.0665  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.6115 < y <= 0.635  and x <= 0.1435 [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.677 < y <= 0.68875  and x <= 0.2014 [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.68875 < y <= 0.89075  and x <= 0.0385 [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.68875 < y <= 0.89075  and 0.10475 < x <= 0.1095  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.923 < y <= 0.92738  and x <= 0.2014 [Confidence: 9.45%; impurity: 0.25%]\n\n    \u00b7 0.54%: 0.43403 < y <= 0.93926  and 0.2485 < x <= 0.2515  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.5335 < y <= 0.5795  and 0.253 < x <= 0.297  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.543 < y <= 0.578  and 0.297 < x <= 0.4405  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.5825 < y <= 0.585  and 0.297 < x <= 0.4405  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.43403 < y <= 0.5905  and 0.4405 < x <= 0.456  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.6225 < y <= 0.6945  and 0.302 < x <= 0.48511  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.709 < y <= 0.824  and 0.302 < x <= 0.48511  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.901 < y <= 0.9225  and 0.297 < x <= 0.48511  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.43403 < y <= 0.8  and 0.48511 < x <= 0.49426  [Confidence: 34.24%]\n\n    \u00b7 0.54%: y > 0.98025 and 0.2014 < x <= 0.49426  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.43403 < y <= 0.545  and 0.49915 < x <= 0.55367  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.6775 < y <= 0.704  and 0.49915 < x <= 0.55367  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.724 < y <= 0.8135  and 0.49915 < x <= 0.55367  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.6335 < y <= 0.724  and 0.622 < x <= 0.625  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.6335 < y <= 0.724  and 0.6555 < x <= 0.67376  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.724 < y <= 0.7275  and 0.55367 < x <= 0.67376  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.8525 < y <= 0.8645  and 0.572 < x <= 0.6445  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.8345 < y <= 0.9005  and 0.6445 < x <= 0.67376  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.5235 < y <= 0.53  and 0.67376 < x <= 0.98346  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.571 < y <= 0.649  and 0.917 < x <= 0.92808  [Confidence: 9.45%; impurity: 0.25%]\n\n    \u00b7 0.54%: 0.6955 < y <= 0.6985  and 0.67376 < x <= 0.92808  [Confidence: 9.45%; impurity: 0.25%]\n\n    \u00b7 0.54%: 0.719 < y <= 0.7365  and 0.67376 < x <= 0.92808  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.818 < y <= 0.8375  and 0.67376 < x <= 0.92808  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.6435 < y <= 0.8935  and 0.98346 < x <= 0.9915  [Confidence: 34.24%]\n\n    \u00b7 0.54%: 0.6435 < y <= 0.8935  and 0.9935 < x <= 0.995  [Confidence: 34.24%]\n\n    \u00b7 0.27%: 0.0515 < y <= 0.0645  and 0.1615 < x <= 0.67278  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.0645 < y <= 0.091  and 0.267 < x <= 0.515  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.307 < y <= 0.311  and 0.09863 < x <= 0.4075  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.68875 < y <= 0.7525  and 0.1775 < x <= 0.1825  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.6125 < y <= 0.616  and 0.302 < x <= 0.48511  [Confidence: 20.65%]\n\n    \u00b7 0.27%: y > 0.951 and 0.49915 < x <= 0.55367  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.8645 < y <= 0.8945  and 0.6235 < x <= 0.6445  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.8945 < y <= 0.9005  and 0.572 < x <= 0.6445  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.43403 < y <= 0.4425  and 0.67376 < x <= 0.98346  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.474 < y <= 0.4795  and 0.67376 < x <= 0.98346  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.502 < y <= 0.5045  and 0.67376 < x <= 0.98346  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.6235 < y <= 0.65  and 0.67376 < x <= 0.917  [Confidence: 20.65%]\n\n    \u00b7 0.27%: 0.7685 < y <= 0.7765  and 0.67376 < x <= 0.92808  [Confidence: 20.65%]\n\n\n1: (data 46.78% / prediction 47.87%) \n    \u00b7 2.28%: 0.4795 < y <= 0.502  and 0.67376 < x <= 0.98346  [Confidence: 56.50%; impurity: 0.10%]\n\n    \u00b7 2.03%: 0.0645 < y <= 0.121  and 0.1615 < x <= 0.267  [Confidence: 40.93%; impurity: 0.19%]\n\n    \u00b7 2.03%: 0.5715 < y <= 0.597  and 0.0665 < x <= 0.1435  [Confidence: 52.91%; impurity: 0.11%]\n\n    \u00b7 2.03%: 0.7535 < y <= 0.89075  and 0.0385 < x <= 0.10475  [Confidence: 52.91%; impurity: 0.11%]\n\n    \u00b7 2.03%: 0.93926 < y <= 0.98025  and 0.2014 < x <= 0.49426  [Confidence: 30.57%; impurity: 0.23%]\n\n    \u00b7 2.03%: 0.571 < y <= 0.6235  and 0.67376 < x <= 0.917  [Confidence: 40.93%; impurity: 0.19%]\n\n    \u00b7 2.03%: 0.811 < y <= 0.8685  and 0.92808 < x <= 0.98346  [Confidence: 52.91%; impurity: 0.11%]\n\n    \u00b7 1.78%: 0.141 < y <= 0.1515  and 0.3075 < x <= 0.67278  [Confidence: 64.57%]\n\n    \u00b7 1.78%: 0.68875 < y <= 0.7525  and 0.1125 < x <= 0.1775  [Confidence: 35.89%; impurity: 0.20%]\n\n    \u00b7 1.78%: 0.53 < y <= 0.555  and 0.67376 < x <= 0.98346  [Confidence: 48.69%; impurity: 0.12%]\n\n    \u00b7 1.78%: 0.65 < y <= 0.6835  and 0.67376 < x <= 0.917  [Confidence: 64.57%]\n\n    \u00b7 1.52%: 0.1325 < y <= 0.141  and 0.3075 < x <= 0.67278  [Confidence: 30.00%; impurity: 0.22%]\n\n    \u00b7 1.52%: 0.2995 < y <= 0.3125  and 0.73471 < x <= 0.87  [Confidence: 30.00%; impurity: 0.22%]\n\n    \u00b7 1.52%: 0.6475 < y <= 0.677  and x <= 0.2014 [Confidence: 43.65%; impurity: 0.14%]\n\n    \u00b7 1.52%: 0.8855 < y <= 0.89075  and 0.145 < x <= 0.2014  [Confidence: 30.00%; impurity: 0.22%]\n\n    \u00b7 1.52%: 0.545 < y <= 0.6775  and 0.49915 < x <= 0.55367  [Confidence: 60.97%]\n\n    \u00b7 1.52%: 0.43403 < y <= 0.6335  and 0.55367 < x <= 0.67376  [Confidence: 30.00%; impurity: 0.25%]\n\n    \u00b7 1.52%: 0.8645 < y <= 0.8945  and 0.572 < x <= 0.6235  [Confidence: 30.00%; impurity: 0.22%]\n\n    \u00b7 1.52%: 0.8375 < y <= 0.8845  and 0.67376 < x <= 0.92808  [Confidence: 60.97%]\n\n    \u00b7 1.27%: 0.155 < y <= 0.20367  and 0.1615 < x <= 0.67278  [Confidence: 37.55%; impurity: 0.16%]\n\n    \u00b7 1.27%: 0.14925 < y <= 0.182  and 0.73471 < x <= 0.87  [Confidence: 56.55%]\n\n    \u00b7 1.27%: 0.202 < y <= 0.263  and 0.7585 < x <= 0.8055  [Confidence: 23.07%; impurity: 0.24%]\n\n    \u00b7 1.27%: 0.471 < y <= 0.93926  and 0.23333 < x <= 0.2395  [Confidence: 37.55%; impurity: 0.16%]\n\n    \u00b7 1.27%: 0.89 < y <= 0.951  and 0.49915 < x <= 0.55367  [Confidence: 56.55%]\n\n    \u00b7 1.27%: 0.655 < y <= 0.724  and 0.625 < x <= 0.6555  [Confidence: 37.55%; impurity: 0.16%]\n\n    \u00b7 1.27%: 0.4425 < y <= 0.474  and 0.67376 < x <= 0.98346  [Confidence: 56.55%]\n\n    \u00b7 1.27%: 0.5045 < y <= 0.5235  and 0.67376 < x <= 0.98346  [Confidence: 37.55%; impurity: 0.16%]\n\n    \u00b7 1.27%: 0.7365 < y <= 0.7685  and 0.67376 < x <= 0.92808  [Confidence: 56.55%]\n\n    \u00b7 1.27%: 0.64 < y <= 0.695  and 0.92808 < x <= 0.98346  [Confidence: 56.55%]\n\n    \u00b7 1.02%: 0.2965 < y <= 0.43403  and x <= 0.05 [Confidence: 15.00%; impurity: 0.25%]\n\n    \u00b7 1.02%: 0.0366 < y <= 0.20367  and 0.09863 < x <= 0.1615  [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.3475 < y <= 0.365  and 0.09863 < x <= 0.621  [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.3545 < y <= 0.3885  and 0.67278 < x <= 0.7805  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 1.02%: 0.3545 < y <= 0.4005  and 0.7805 < x <= 0.97969  [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.43403 < y <= 0.5465  and x <= 0.2014 [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.635 < y <= 0.6395  and x <= 0.2014 [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.89075 < y <= 0.923  and x <= 0.2014 [Confidence: 51.01%]\n\n    \u00b7 1.02%: y > 0.92738 and x <= 0.2014 [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.8 < y <= 0.93132  and 0.48511 < x <= 0.49426  [Confidence: 15.00%; impurity: 0.25%]\n\n    \u00b7 1.02%: 0.6335 < y <= 0.724  and 0.5695 < x <= 0.622  [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.7275 < y <= 0.7455  and 0.55367 < x <= 0.67376  [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.82125 < y <= 0.8345  and 0.572 < x <= 0.67376  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 1.02%: 0.6985 < y <= 0.719  and 0.67376 < x <= 0.92808  [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.7765 < y <= 0.818  and 0.67376 < x <= 0.92808  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 1.02%: y > 0.8845 and 0.67376 < x <= 0.98346  [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.55 < y <= 0.6435  and x > 0.98346 [Confidence: 51.01%]\n\n    \u00b7 1.02%: 0.6435 < y <= 0.8935  and 0.9915 < x <= 0.9935  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 0.76%: 0.1265 < y <= 0.1325  and 0.1615 < x <= 0.5135  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.1325 < y <= 0.1515  and 0.1615 < x <= 0.3075  [Confidence: 6.15%; impurity: 0.33%]\n\n    \u00b7 0.76%: 0.22775 < y <= 0.2935  and 0.5405 < x <= 0.62875  [Confidence: 20.77%; impurity: 0.22%]\n\n    \u00b7 0.76%: 0.2935 < y <= 0.307  and 0.09863 < x <= 0.4075  [Confidence: 20.77%; impurity: 0.22%]\n\n    \u00b7 0.76%: 0.311 < y <= 0.3175  and 0.3015 < x <= 0.459  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.3175 < y <= 0.337  and 0.4315 < x <= 0.459  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.22775 < y <= 0.337  and 0.62875 < x <= 0.67278  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.365 < y <= 0.412  and 0.09863 < x <= 0.2555  [Confidence: 20.77%; impurity: 0.22%]\n\n    \u00b7 0.76%: 0.0366 < y <= 0.0866  and 0.7005 < x <= 0.9455  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.0866 < y <= 0.3545  and 0.7005 < x <= 0.709  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.10367 < y <= 0.1145  and 0.73471 < x <= 0.87  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.202 < y <= 0.263  and 0.8285 < x <= 0.87  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.0866 < y <= 0.3545  and 0.87 < x <= 0.92088  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.43403 < y <= 0.686  and 0.2305 < x <= 0.23333  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.8205 < y <= 0.93926  and 0.253 < x <= 0.297  [Confidence: 6.15%; impurity: 0.33%]\n\n    \u00b7 0.76%: 0.53 < y <= 0.543  and 0.297 < x <= 0.4405  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.578 < y <= 0.5825  and 0.297 < x <= 0.4405  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.43403 < y <= 0.5905  and 0.456 < x <= 0.48511  [Confidence: 6.15%; impurity: 0.33%]\n\n    \u00b7 0.76%: 0.704 < y <= 0.724  and 0.49915 < x <= 0.55367  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.7725 < y <= 0.78217  and 0.55367 < x <= 0.67376  [Confidence: 43.85%]\n\n    \u00b7 0.76%: 0.555 < y <= 0.5664  and 0.67376 < x <= 0.98346  [Confidence: 43.85%]\n\n    \u00b7 0.51%: 0.22775 < y <= 0.28  and 0.199 < x <= 0.3575  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.3095 < y <= 0.311  and 0.4075 < x <= 0.62875  [Confidence: 9.45%; impurity: 0.25%]\n\n    \u00b7 0.51%: 0.422 < y <= 0.43403  and 0.09863 < x <= 0.621  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.202 < y <= 0.2995  and 0.73471 < x <= 0.7445  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.202 < y <= 0.2995  and 0.7495 < x <= 0.7585  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.4005 < y <= 0.43403  and 0.67278 < x <= 0.827  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.0366 < y <= 0.43403  and x > 0.9955 [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.5465 < y <= 0.597  and x <= 0.02 [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.597 < y <= 0.6115  and x <= 0.1435 [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.68875 < y <= 0.89075  and 0.1095 < x <= 0.1125  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.68875 < y <= 0.7525  and 0.1825 < x <= 0.2014  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.7525 < y <= 0.89075  and 0.126 < x <= 0.145  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.5795 < y <= 0.584  and 0.253 < x <= 0.297  [Confidence: 9.45%; impurity: 0.25%]\n\n    \u00b7 0.51%: 0.43403 < y <= 0.4795  and 0.406 < x <= 0.4405  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.4795 < y <= 0.4885  and 0.297 < x <= 0.4405  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.9225 < y <= 0.9259  and 0.297 < x <= 0.48511  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.9259 < y <= 0.9285  and 0.297 < x <= 0.48511  [Confidence: 9.45%; impurity: 0.25%]\n\n    \u00b7 0.51%: 0.93132 < y <= 0.93926  and 0.297 < x <= 0.49426  [Confidence: 9.45%; impurity: 0.25%]\n\n    \u00b7 0.51%: 0.8135 < y <= 0.82  and 0.49915 < x <= 0.55367  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.7835 < y <= 0.7855  and 0.55367 < x <= 0.67376  [Confidence: 9.45%; impurity: 0.25%]\n\n    \u00b7 0.51%: 0.82125 < y <= 0.9005  and 0.55367 < x <= 0.572  [Confidence: 34.24%]\n\n    \u00b7 0.51%: y > 0.9005 and 0.55367 < x <= 0.67376  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.649 < y <= 0.6955  and 0.917 < x <= 0.92808  [Confidence: 34.24%]\n\n    \u00b7 0.51%: 0.8685 < y <= 0.8845  and 0.9765 < x <= 0.98346  [Confidence: 9.45%; impurity: 0.25%]\n\n    \u00b7 0.51%: 0.6435 < y <= 0.8935  and x > 0.995 [Confidence: 9.45%; impurity: 0.25%]\n\n    \u00b7 0.51%: y > 0.8935 and x > 0.98346 [Confidence: 34.24%]\n\n    \u00b7 0.25%: 0.0366 < y <= 0.2965  and x <= 0.09863 [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.091 < y <= 0.1025  and 0.267 < x <= 0.515  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.0645 < y <= 0.117  and 0.515 < x <= 0.67278  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.117 < y <= 0.121  and 0.267 < x <= 0.67278  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.395 < y <= 0.4  and 0.2555 < x <= 0.4745  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.3465 < y <= 0.3545  and 0.73471 < x <= 0.87  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.0366 < y <= 0.0475  and 0.9455 < x <= 0.97969  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.0475 < y <= 0.3545  and 0.9765 < x <= 0.97969  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.6325 < y <= 0.635  and 0.1435 < x <= 0.2014  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.43403 < y <= 0.617  and 0.2285 < x <= 0.2295  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.617 < y <= 0.686  and 0.2105 < x <= 0.2295  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.43403 < y <= 0.93926  and 0.2475 < x <= 0.2485  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.43403 < y <= 0.4545  and 0.2515 < x <= 0.297  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.5265 < y <= 0.5335  and 0.2515 < x <= 0.297  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.5335 < y <= 0.93926  and 0.2515 < x <= 0.253  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.4885 < y <= 0.53  and 0.4395 < x <= 0.4405  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.60575 < y <= 0.6125  and 0.297 < x <= 0.48511  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.6125 < y <= 0.901  and 0.297 < x <= 0.302  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.616 < y <= 0.6225  and 0.302 < x <= 0.48511  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.6945 < y <= 0.709  and 0.302 < x <= 0.48511  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.824 < y <= 0.8555  and 0.302 < x <= 0.48511  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.6335 < y <= 0.655  and 0.6465 < x <= 0.6555  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.7455 < y <= 0.7725  and 0.55367 < x <= 0.5605  [Confidence: 20.65%]\n\n    \u00b7 0.25%: 0.8345 < y <= 0.8525  and 0.572 < x <= 0.6445  [Confidence: 20.65%]\n\n\n2: (data 9.60% / prediction 7.29%) \n    \u00b7 8.33%: 0.365 < y <= 0.395  and 0.2555 < x <= 0.4745  [Confidence: 23.07%; impurity: 0.24%]\n\n    \u00b7 8.33%: 0.0366 < y <= 0.1485  and 0.67278 < x <= 0.7005  [Confidence: 37.55%; impurity: 0.16%]\n\n    \u00b7 8.33%: 0.0945 < y <= 0.10367  and 0.73471 < x <= 0.87  [Confidence: 23.07%; impurity: 0.24%]\n\n    \u00b7 8.33%: 0.31604 < y <= 0.3465  and 0.758 < x <= 0.87  [Confidence: 23.07%; impurity: 0.24%]\n\n    \u00b7 6.67%: 0.337 < y <= 0.3475  and 0.09863 < x <= 0.67278  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 6.67%: 0.0866 < y <= 0.3545  and 0.709 < x <= 0.7225  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 6.67%: 0.11 < y <= 0.3545  and 0.9455 < x <= 0.965  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 6.67%: 0.4005 < y <= 0.43403  and 0.827 < x <= 0.97969  [Confidence: 30.06%; impurity: 0.19%]\n\n    \u00b7 5.00%: 0.11 < y <= 0.13  and 0.92088 < x <= 0.9455  [Confidence: 20.77%; impurity: 0.22%]\n\n    \u00b7 5.00%: 0.4545 < y <= 0.5265  and 0.2515 < x <= 0.297  [Confidence: 20.77%; impurity: 0.22%]\n\n    \u00b7 5.00%: 0.5905 < y <= 0.60575  and 0.297 < x <= 0.48511  [Confidence: 20.77%; impurity: 0.22%]\n\n    \u00b7 5.00%: 0.43403 < y <= 0.55  and 0.98346 < x <= 0.992  [Confidence: 43.85%]\n\n    \u00b7 3.33%: 0.121 < y <= 0.1265  and 0.1615 < x <= 0.67278  [Confidence: 34.24%]\n\n    \u00b7 1.67%: 0.0366 < y <= 0.0515  and 0.1615 < x <= 0.67278  [Confidence: 20.65%]\n\n    \u00b7 1.67%: 0.2935 < y <= 0.2975  and 0.4075 < x <= 0.62875  [Confidence: 20.65%]\n\n    \u00b7 1.67%: 0.407 < y <= 0.412  and 0.2555 < x <= 0.4745  [Confidence: 20.65%]\n\n    \u00b7 1.67%: 0.1475 < y <= 0.14925  and 0.73471 < x <= 0.87  [Confidence: 20.65%]\n\n    \u00b7 1.67%: 0.182 < y <= 0.202  and 0.73471 < x <= 0.87  [Confidence: 20.65%]\n\n    \u00b7 1.67%: 0.263 < y <= 0.27  and 0.7585 < x <= 0.87  [Confidence: 20.65%]\n\n    \u00b7 1.67%: 0.43403 < y <= 0.93926  and 0.2014 < x <= 0.2105  [Confidence: 20.65%]\n\n    \u00b7 1.67%: 0.43403 < y <= 0.471  and 0.23333 < x <= 0.2395  [Confidence: 20.65%]\n\n    \u00b7 1.67%: 0.5664 < y <= 0.571  and 0.67376 < x <= 0.98346  [Confidence: 20.65%]\n\n    \u00b7 1.67%: 0.571 < y <= 0.5785  and 0.92808 < x <= 0.98346  [Confidence: 20.65%]\n</code></pre>"}