{"code": 200, "formatter": "summarize", "rules": "<pre><code class=\"summarize\">Data distribution:\n    5.01851: 0.63% (25 instances)\n    5.06651: 0.73% (29 instances)\n    5.13081: 0.92% (37 instances)\n    5.18466: 0.97% (39 instances)\n    5.22086: 0.57% (23 instances)\n    5.25793: 0.80% (32 instances)\n    5.29756: 0.75% (30 instances)\n    5.34011: 1.18% (47 instances)\n    5.3882: 1.30% (52 instances)\n    5.43024: 0.90% (36 instances)\n    5.4632: 1.35% (54 instances)\n    5.50116: 1.98% (79 instances)\n    5.54871: 2.10% (84 instances)\n    5.5994: 2.38% (95 instances)\n    5.64837: 2.60% (104 instances)\n    5.68874: 2.32% (93 instances)\n    5.72176: 2.03% (81 instances)\n    5.7555: 2.03% (81 instances)\n    5.78826: 3.15% (126 instances)\n    5.82286: 2.95% (118 instances)\n    5.85672: 3.12% (125 instances)\n    5.89587: 3.25% (130 instances)\n    5.93089: 3.72% (149 instances)\n    5.96939: 4.93% (197 instances)\n    6.00286: 4.32% (173 instances)\n    6.03809: 4.35% (174 instances)\n    6.0723: 4.90% (196 instances)\n    6.10676: 5.80% (232 instances)\n    6.14759: 6.58% (263 instances)\n    6.18909: 7.98% (319 instances)\n    6.23397: 9.40% (376 instances)\n    6.27919: 10.03% (401 instances)\n\n\nPredicted distribution:\n    5.0036: 0.13% (5 instances)\n    5.01125: 0.13% (5 instances)\n    5.01839: 0.15% (6 instances)\n    5.02422: 0.08% (3 instances)\n    5.03092: 0.10% (4 instances)\n    5.04321: 0.18% (7 instances)\n    5.0526: 0.13% (5 instances)\n    5.06518: 0.15% (6 instances)\n    5.073: 0.10% (4 instances)\n    5.07952: 0.10% (4 instances)\n    5.08879: 0.13% (5 instances)\n    5.1036: 0.18% (7 instances)\n    5.11058: 0.10% (4 instances)\n    5.12115: 0.08% (3 instances)\n    5.13237: 0.10% (4 instances)\n    5.13967: 0.20% (8 instances)\n    5.14764: 0.15% (6 instances)\n    5.15526: 0.13% (5 instances)\n    5.16398: 0.13% (5 instances)\n    5.16997: 0.13% (5 instances)\n    5.17616: 0.13% (5 instances)\n    5.18428: 0.25% (10 instances)\n    5.19745: 0.25% (10 instances)\n    5.2054: 0.18% (7 instances)\n    5.21115: 0.10% (4 instances)\n    5.21995: 0.20% (8 instances)\n    5.23254: 0.15% (6 instances)\n    5.23958: 0.13% (5 instances)\n    5.24775: 0.10% (4 instances)\n    5.25246: 0.18% (7 instances)\n    5.25941: 0.10% (4 instances)\n    5.26378: 0.18% (7 instances)\n    5.26988: 0.18% (7 instances)\n    5.27882: 0.15% (6 instances)\n    5.28405: 0.10% (4 instances)\n    5.29279: 0.10% (4 instances)\n    5.30246: 0.15% (6 instances)\n    5.31145: 0.15% (6 instances)\n    5.31603: 0.15% (6 instances)\n    5.32696: 0.30% (12 instances)\n    5.33505: 0.20% (8 instances)\n    5.34289: 0.20% (8 instances)\n    5.34742: 0.20% (8 instances)\n    5.3585: 0.22% (9 instances)\n    5.36925: 0.20% (8 instances)\n    5.37664: 0.20% (8 instances)\n    5.38343: 0.25% (10 instances)\n    5.38889: 0.13% (5 instances)\n    5.39457: 0.15% (6 instances)\n    5.40131: 0.18% (7 instances)\n    5.40845: 0.25% (10 instances)\n    5.41986: 0.15% (6 instances)\n    5.42784: 0.32% (13 instances)\n    5.43636: 0.32% (13 instances)\n    5.44469: 0.18% (7 instances)\n    5.45156: 0.20% (8 instances)\n    5.459: 0.25% (10 instances)\n    5.46639: 0.35% (14 instances)\n    5.47214: 0.20% (8 instances)\n    5.47834: 0.22% (9 instances)\n    5.48327: 0.22% (9 instances)\n    5.48885: 0.43% (17 instances)\n    5.49472: 0.27% (11 instances)\n    5.5004: 0.18% (7 instances)\n    5.50463: 0.18% (7 instances)\n    5.51108: 0.25% (10 instances)\n    5.51696: 0.30% (12 instances)\n    5.52413: 0.22% (9 instances)\n    5.52945: 0.22% (9 instances)\n    5.53546: 0.25% (10 instances)\n    5.54271: 0.40% (16 instances)\n    5.5486: 0.15% (6 instances)\n    5.55366: 0.35% (14 instances)\n    5.55854: 0.18% (7 instances)\n    5.56232: 0.22% (9 instances)\n    5.56742: 0.15% (6 instances)\n    5.57571: 0.32% (13 instances)\n    5.58118: 0.25% (10 instances)\n    5.58478: 0.20% (8 instances)\n    5.59: 0.15% (6 instances)\n    5.59353: 0.20% (8 instances)\n    5.60052: 0.27% (11 instances)\n    5.60501: 0.27% (11 instances)\n    5.60951: 0.25% (10 instances)\n    5.61795: 0.43% (17 instances)\n    5.62436: 0.25% (10 instances)\n    5.63091: 0.25% (10 instances)\n    5.63578: 0.18% (7 instances)\n    5.63927: 0.30% (12 instances)\n    5.64437: 0.35% (14 instances)\n    5.64892: 0.22% (9 instances)\n    5.65367: 0.40% (16 instances)\n    5.65956: 0.43% (17 instances)\n    5.66689: 0.35% (14 instances)\n    5.67312: 0.30% (12 instances)\n    5.6778: 0.30% (12 instances)\n    5.68319: 0.37% (15 instances)\n    5.68832: 0.35% (14 instances)\n    5.69342: 0.32% (13 instances)\n    5.69867: 0.27% (11 instances)\n    5.70349: 0.47% (19 instances)\n    5.70924: 0.22% (9 instances)\n    5.71253: 0.25% (10 instances)\n    5.7165: 0.35% (14 instances)\n    5.72056: 0.22% (9 instances)\n    5.72411: 0.20% (8 instances)\n    5.72993: 0.32% (13 instances)\n    5.73485: 0.30% (12 instances)\n    5.74025: 0.30% (12 instances)\n    5.74607: 0.43% (17 instances)\n    5.75215: 0.32% (13 instances)\n    5.75756: 0.27% (11 instances)\n    5.76322: 0.37% (15 instances)\n    5.76817: 0.37% (15 instances)\n    5.77246: 0.53% (21 instances)\n    5.77789: 0.37% (15 instances)\n    5.78321: 0.40% (16 instances)\n    5.78769: 0.37% (15 instances)\n    5.79204: 0.45% (18 instances)\n    5.79683: 0.35% (14 instances)\n    5.80097: 0.53% (21 instances)\n    5.80417: 0.27% (11 instances)\n    5.8107: 0.47% (19 instances)\n    5.81606: 0.45% (18 instances)\n    5.81987: 0.37% (15 instances)\n    5.82523: 0.45% (18 instances)\n    5.83015: 0.57% (23 instances)\n    5.83375: 0.30% (12 instances)\n    5.83712: 0.18% (7 instances)\n    5.84014: 0.30% (12 instances)\n    5.84386: 0.47% (19 instances)\n    5.84874: 0.35% (14 instances)\n    5.85289: 0.40% (16 instances)\n    5.8577: 0.37% (15 instances)\n    5.86253: 0.35% (14 instances)\n    5.86645: 0.45% (18 instances)\n    5.87185: 0.32% (13 instances)\n    5.87698: 0.47% (19 instances)\n    5.8842: 0.53% (21 instances)\n    5.88952: 0.35% (14 instances)\n    5.8939: 0.45% (18 instances)\n    5.89882: 0.37% (15 instances)\n    5.90222: 0.37% (15 instances)\n    5.90715: 0.37% (15 instances)\n    5.91112: 0.37% (15 instances)\n    5.91401: 0.43% (17 instances)\n    5.91808: 0.50% (20 instances)\n    5.92228: 0.43% (17 instances)\n    5.92704: 0.43% (17 instances)\n    5.93153: 0.32% (13 instances)\n    5.93466: 0.47% (19 instances)\n    5.93906: 0.45% (18 instances)\n    5.94397: 0.55% (22 instances)\n    5.94794: 0.30% (12 instances)\n    5.95225: 0.40% (16 instances)\n    5.95618: 0.37% (15 instances)\n    5.96043: 0.63% (25 instances)\n    5.96494: 0.63% (25 instances)\n    5.96935: 0.47% (19 instances)\n    5.97261: 0.57% (23 instances)\n    5.97566: 0.55% (22 instances)\n    5.97907: 0.40% (16 instances)\n    5.98327: 0.77% (31 instances)\n    5.9877: 0.30% (12 instances)\n    5.9909: 0.55% (22 instances)\n    5.99465: 0.53% (21 instances)\n    5.99821: 0.57% (23 instances)\n    6.00211: 0.67% (27 instances)\n    6.00699: 0.43% (17 instances)\n    6.01047: 0.57% (23 instances)\n    6.01459: 0.30% (12 instances)\n    6.01848: 0.30% (12 instances)\n    6.02098: 0.32% (13 instances)\n    6.02473: 0.32% (13 instances)\n    6.02866: 0.77% (31 instances)\n    6.03281: 0.40% (16 instances)\n    6.0352: 0.43% (17 instances)\n    6.03912: 0.60% (24 instances)\n    6.04308: 0.53% (21 instances)\n    6.04728: 0.45% (18 instances)\n    6.05116: 0.40% (16 instances)\n    6.05464: 0.55% (22 instances)\n    6.05821: 0.40% (16 instances)\n    6.06139: 0.63% (25 instances)\n    6.06556: 0.43% (17 instances)\n    6.06874: 0.47% (19 instances)\n    6.07211: 0.50% (20 instances)\n    6.07608: 0.40% (16 instances)\n    6.07894: 0.53% (21 instances)\n    6.08282: 0.57% (23 instances)\n    6.08656: 0.77% (31 instances)\n    6.0904: 0.47% (19 instances)\n    6.09296: 0.57% (23 instances)\n    6.0959: 0.45% (18 instances)\n    6.09934: 0.57% (23 instances)\n    6.10322: 0.53% (21 instances)\n    6.10678: 0.67% (27 instances)\n    6.11066: 0.55% (22 instances)\n    6.11504: 0.43% (17 instances)\n    6.11867: 0.65% (26 instances)\n    6.12266: 0.55% (22 instances)\n    6.12566: 0.35% (14 instances)\n    6.12928: 0.75% (30 instances)\n    6.13351: 0.55% (22 instances)\n    6.13752: 0.53% (21 instances)\n    6.1408: 0.57% (23 instances)\n    6.14392: 0.45% (18 instances)\n    6.14711: 0.65% (26 instances)\n    6.15131: 0.53% (21 instances)\n    6.15459: 0.85% (34 instances)\n    6.15897: 0.35% (14 instances)\n    6.16152: 0.50% (20 instances)\n    6.16486: 0.60% (24 instances)\n    6.1685: 0.70% (28 instances)\n    6.17162: 0.67% (27 instances)\n    6.17538: 0.70% (28 instances)\n    6.17863: 0.55% (22 instances)\n    6.18203: 0.27% (11 instances)\n    6.1847: 0.53% (21 instances)\n    6.18761: 0.77% (31 instances)\n    6.19113: 0.70% (28 instances)\n    6.19412: 0.67% (27 instances)\n    6.1976: 0.53% (21 instances)\n    6.20068: 0.57% (23 instances)\n    6.20451: 0.60% (24 instances)\n    6.20794: 0.60% (24 instances)\n    6.21043: 0.32% (13 instances)\n    6.21328: 0.77% (31 instances)\n    6.21666: 0.67% (27 instances)\n    6.2201: 0.57% (23 instances)\n    6.2234: 0.55% (22 instances)\n    6.22612: 0.55% (22 instances)\n    6.22858: 0.65% (26 instances)\n    6.23159: 0.73% (29 instances)\n    6.23505: 0.75% (30 instances)\n    6.23836: 0.75% (30 instances)\n    6.24128: 0.73% (29 instances)\n    6.24427: 0.57% (23 instances)\n    6.24735: 0.50% (20 instances)\n    6.25043: 0.47% (19 instances)\n    6.25336: 0.85% (34 instances)\n    6.25681: 0.60% (24 instances)\n    6.25905: 0.57% (23 instances)\n    6.26212: 0.75% (30 instances)\n    6.26507: 0.57% (23 instances)\n    6.26789: 0.55% (22 instances)\n    6.27094: 0.63% (25 instances)\n    6.27385: 0.55% (22 instances)\n    6.27707: 0.80% (32 instances)\n    6.28042: 0.92% (37 instances)\n    6.28429: 0.70% (28 instances)\n    6.28698: 0.57% (23 instances)\n    6.28992: 0.67% (27 instances)\n    6.29273: 0.90% (36 instances)\n    6.29652: 0.85% (34 instances)\n    6.29976: 0.63% (25 instances)\n\n\nField importance:\n    1. Price: 100.00%\n\n\nRules summary:\n\n\n5.0036: (data 0.00% / prediction 0.13%) Price <= 101642 [Confidence: 0.82%; impurity: 0.40%]\n\n\n5.01125: (data 0.00% / prediction 0.13%) 101642 < Price <= 103379  [Confidence: 0.68%; impurity: 0.40%]\n\n\n5.01839: (data 0.00% / prediction 0.15%) 103379 < Price <= 105110  [Confidence: 0.62%; impurity: 0.42%]\n\n\n5.02422: (data 0.00% / prediction 0.08%) 105110 < Price <= 106498  [Confidence: 0.53%; impurity: 0.33%]\n\n\n5.03092: (data 0.00% / prediction 0.10%) 106498 < Price <= 108799  [Confidence: 0.50%; impurity: 0.38%]\n\n\n5.04321: (data 0.00% / prediction 0.18%) 108799 < Price <= 111866  [Confidence: 0.60%; impurity: 0.43%]\n\n\n5.0526: (data 0.00% / prediction 0.13%) 111866 < Price <= 114680  [Confidence: 0.61%; impurity: 0.40%]\n\n\n5.06518: (data 0.00% / prediction 0.15%) 114680 < Price <= 117456  [Confidence: 0.56%; impurity: 0.42%]\n\n\n5.073: (data 0.00% / prediction 0.10%) 117456 < Price <= 119173  [Confidence: 0.56%; impurity: 0.38%]\n\n\n5.07952: (data 0.00% / prediction 0.10%) 119173 < Price <= 121145  [Confidence: 0.78%; impurity: 0.38%]\n\n\n5.08879: (data 0.00% / prediction 0.13%) 121145 < Price <= 124545  [Confidence: 0.91%; impurity: 0.40%]\n\n\n5.1036: (data 0.00% / prediction 0.18%) 124545 < Price <= 128098  [Confidence: 0.89%; impurity: 0.43%]\n\n\n5.11058: (data 0.00% / prediction 0.10%) 128098 < Price <= 130490  [Confidence: 0.66%; impurity: 0.38%]\n\n\n5.12115: (data 0.00% / prediction 0.08%) 130490 < Price <= 133507  [Confidence: 1.17%; impurity: 0.33%]\n\n\n5.13237: (data 0.00% / prediction 0.10%) 133507 < Price <= 136865  [Confidence: 1.20%; impurity: 0.38%]\n\n\n5.13967: (data 0.00% / prediction 0.20%) 136865 < Price <= 139377  [Confidence: 0.52%; impurity: 0.44%]\n\n\n5.14764: (data 0.00% / prediction 0.15%) 139377 < Price <= 141571  [Confidence: 0.44%; impurity: 0.42%]\n\n\n5.15526: (data 0.00% / prediction 0.13%) 141571 < Price <= 144154  [Confidence: 0.58%; impurity: 0.40%]\n\n\n5.16398: (data 0.00% / prediction 0.13%) 144154 < Price <= 146803  [Confidence: 0.87%; impurity: 0.36%]\n\n\n5.16997: (data 0.00% / prediction 0.13%) 146803 < Price <= 149108  [Confidence: 0.66%; impurity: 0.40%]\n\n\n5.17616: (data 0.00% / prediction 0.13%) 149108 < Price <= 151134  [Confidence: 0.35%; impurity: 0.40%]\n\n\n5.18428: (data 0.00% / prediction 0.25%) 151134 < Price <= 154913  [Confidence: 0.56%; impurity: 0.45%]\n\n\n5.19745: (data 0.00% / prediction 0.25%) 154913 < Price <= 159339  [Confidence: 0.56%; impurity: 0.45%]\n\n\n5.2054: (data 0.00% / prediction 0.18%) 159339 < Price <= 161636  [Confidence: 0.48%; impurity: 0.43%]\n\n\n5.21115: (data 0.00% / prediction 0.10%) 161636 < Price <= 164081  [Confidence: 0.83%; impurity: 0.38%]\n\n\n5.21995: (data 0.00% / prediction 0.20%) 164081 < Price <= 168774  [Confidence: 0.74%; impurity: 0.44%]\n\n\n5.23254: (data 0.00% / prediction 0.15%) 168774 < Price <= 175410  and Bedrooms <= 3 [Confidence: 0.52%; impurity: 0.42%]\n\n\n5.23958: (data 0.00% / prediction 0.13%) 168774 < Price <= 175410  and Bedrooms > 3 [Confidence: 0.73%; impurity: 0.40%]\n\n\n5.24775: (data 0.00% / prediction 0.10%) 175410 < Price <= 177784  [Confidence: 0.75%; impurity: 0.38%]\n\n\n5.25246: (data 0.00% / prediction 0.18%) 177784 < Price <= 180537  [Confidence: 0.46%; impurity: 0.43%]\n\n\n5.25941: (data 0.00% / prediction 0.10%) 180537 < Price <= 182082  [Confidence: 0.25%; impurity: 0.38%]\n\n\n5.26378: (data 0.00% / prediction 0.18%) 182082 < Price <= 184869  [Confidence: 0.46%; impurity: 0.43%]\n\n\n5.26988: (data 0.00% / prediction 0.18%) 184869 < Price <= 187835  [Confidence: 0.55%; impurity: 0.43%]\n\n\n5.27882: (data 0.00% / prediction 0.15%) 187835 < Price <= 191290  [Confidence: 0.77%; impurity: 0.42%]\n\n\n5.28405: (data 0.00% / prediction 0.10%) 191290 < Price <= 194238  [Confidence: 0.53%; impurity: 0.38%]\n\n\n5.29279: (data 0.00% / prediction 0.10%) 194238 < Price <= 198534  [Confidence: 0.79%; impurity: 0.38%]\n\n\n5.30246: (data 0.00% / prediction 0.15%) 198534 < Price <= 202840  [Confidence: 0.57%; impurity: 0.42%]\n\n\n5.31145: (data 0.00% / prediction 0.15%) 202840 < Price <= 206135  [Confidence: 0.47%; impurity: 0.42%]\n\n\n5.31603: (data 0.00% / prediction 0.15%) 206135 < Price <= 207899  [Confidence: 0.24%; impurity: 0.42%]\n\n\n5.32696: (data 0.00% / prediction 0.30%) 207899 < Price <= 214274  [Confidence: 0.66%; impurity: 0.46%]\n\n\n5.33505: (data 0.00% / prediction 0.20%) 214274 < Price <= 218506  [Confidence: 0.49%; impurity: 0.44%]\n\n\n5.34289: (data 0.00% / prediction 0.20%) 218506 < Price <= 221236  [Confidence: 0.23%; impurity: 0.44%]\n\n\n5.34742: (data 0.00% / prediction 0.20%) 221236 < Price <= 224821  [Confidence: 0.45%; impurity: 0.44%]\n\n\n5.3585: (data 0.00% / prediction 0.22%) 224821 < Price <= 231574  [Confidence: 0.73%; impurity: 0.44%]\n\n\n5.36925: (data 0.00% / prediction 0.20%) 231574 < Price <= 235790  [Confidence: 0.47%; impurity: 0.44%]\n\n\n5.37664: (data 0.00% / prediction 0.20%) 235790 < Price <= 239912  [Confidence: 0.56%; impurity: 0.44%]\n\n\n5.38343: (data 0.00% / prediction 0.25%) 239912 < Price <= 243394  [Confidence: 0.34%; impurity: 0.45%]\n\n\n5.38889: (data 0.00% / prediction 0.13%) 243394 < Price <= 246738  [Confidence: 0.62%; impurity: 0.40%]\n\n\n5.39457: (data 0.00% / prediction 0.15%) 246738 < Price <= 249580  [Confidence: 0.34%; impurity: 0.42%]\n\n\n5.40131: (data 0.00% / prediction 0.18%) 249580 < Price <= 253982  [Confidence: 0.53%; impurity: 0.43%]\n\n\n5.40845: (data 0.00% / prediction 0.25%) 253982 < Price <= 260185  [Confidence: 0.55%; impurity: 0.45%]\n\n\n5.41986: (data 0.00% / prediction 0.15%) 260185 < Price <= 265058  [Confidence: 0.70%; impurity: 0.42%]\n\n\n5.42784: (data 0.00% / prediction 0.32%) 265058 < Price <= 269761  [Confidence: 0.44%; impurity: 0.46%]\n\n\n5.43636: (data 0.00% / prediction 0.32%) 269761 < Price <= 276368  [Confidence: 0.44%; impurity: 0.46%]\n\n\n5.44469: (data 0.00% / prediction 0.18%) 276368 < Price <= 280788  [Confidence: 0.50%; impurity: 0.43%]\n\n\n5.45156: (data 0.00% / prediction 0.20%) 280788 < Price <= 285679  [Confidence: 0.54%; impurity: 0.44%]\n\n\n5.459: (data 0.00% / prediction 0.25%) 285679 < Price <= 289561  [Confidence: 0.27%; impurity: 0.45%]\n\n\n5.46639: (data 0.00% / prediction 0.35%) 289561 < Price <= 294627  [Confidence: 0.40%; impurity: 0.46%]\n\n\n5.47214: (data 0.00% / prediction 0.20%) 294627 < Price <= 298683  [Confidence: 0.52%; impurity: 0.44%]\n\n\n5.47834: (data 0.00% / prediction 0.22%) 298683 < Price <= 302906  [Confidence: 0.55%; impurity: 0.44%]\n\n\n5.48327: (data 0.00% / prediction 0.22%) 302906 < Price <= 306568  [Confidence: 0.31%; impurity: 0.43%]\n\n\n5.48885: (data 0.00% / prediction 0.43%) 306568 < Price <= 310178  [Confidence: 0.23%; impurity: 0.47%]\n\n\n5.49472: (data 0.00% / prediction 0.27%) 310178 < Price <= 314574  [Confidence: 0.40%; impurity: 0.45%]\n\n\n5.5004: (data 0.00% / prediction 0.18%) 314574 < Price <= 318466  [Confidence: 0.43%; impurity: 0.43%]\n\n\n5.50463: (data 0.00% / prediction 0.18%) 318466 < Price <= 322048  [Confidence: 0.38%; impurity: 0.43%]\n\n\n5.51108: (data 0.00% / prediction 0.25%) 322048 < Price <= 326872  [Confidence: 0.34%; impurity: 0.45%]\n\n\n5.51696: (data 0.00% / prediction 0.30%) 326872 < Price <= 331212  [Confidence: 0.34%; impurity: 0.46%]\n\n\n5.52413: (data 0.00% / prediction 0.22%) 331212 < Price <= 336065  [Confidence: 0.48%; impurity: 0.44%]\n\n\n5.52945: (data 0.00% / prediction 0.22%) 336065 < Price <= 340575  [Confidence: 0.43%; impurity: 0.44%]\n\n\n5.53546: (data 0.00% / prediction 0.25%) 340575 < Price <= 345308  [Confidence: 0.36%; impurity: 0.45%]\n\n\n5.54271: (data 0.00% / prediction 0.40%) 345308 < Price <= 351068  [Confidence: 0.35%; impurity: 0.47%]\n\n\n5.5486: (data 0.00% / prediction 0.15%) 351068 < Price <= 355741  [Confidence: 0.66%; impurity: 0.42%]\n\n\n5.55366: (data 0.00% / prediction 0.35%) 355741 < Price <= 360935  [Confidence: 0.36%; impurity: 0.46%]\n\n\n5.55854: (data 0.00% / prediction 0.18%) 360935 < Price <= 363285  [Confidence: 0.23%; impurity: 0.43%]\n\n\n5.56232: (data 0.00% / prediction 0.22%) 363285 < Price <= 367152  [Confidence: 0.25%; impurity: 0.44%]\n\n\n5.56742: (data 0.00% / prediction 0.15%) 367152 < Price <= 372788  [Confidence: 0.60%; impurity: 0.42%]\n\n\n5.57571: (data 0.00% / prediction 0.32%) 372788 < Price <= 379546  [Confidence: 0.46%; impurity: 0.46%]\n\n\n5.58118: (data 0.00% / prediction 0.25%) 379546 < Price <= 382995  [Confidence: 0.24%; impurity: 0.45%]\n\n\n5.58478: (data 0.00% / prediction 0.20%) 382995 < Price <= 386912  [Confidence: 0.14%; impurity: 0.44%]\n\n\n5.59: (data 0.00% / prediction 0.15%) 386912 < Price <= 389927  [Confidence: 0.10%; impurity: 0.39%]\n\n\n5.59353: (data 0.00% / prediction 0.20%) 389927 < Price <= 394624  [Confidence: 0.30%; impurity: 0.44%]\n\n\n5.60052: (data 0.00% / prediction 0.27%) 394624 < Price <= 400155  [Confidence: 0.30%; impurity: 0.45%]\n\n\n5.60501: (data 0.00% / prediction 0.27%) 400155 < Price <= 404913  [Confidence: 0.32%; impurity: 0.45%]\n\n\n5.60951: (data 0.00% / prediction 0.25%) 404913 < Price <= 410734  [Confidence: 0.43%; impurity: 0.45%]\n\n\n5.61795: (data 0.00% / prediction 0.43%) 410734 < Price <= 417882  [Confidence: 0.37%; impurity: 0.47%]\n\n\n5.62436: (data 0.00% / prediction 0.25%) 417882 < Price <= 423304  [Confidence: 0.49%; impurity: 0.45%]\n\n\n5.63091: (data 0.00% / prediction 0.25%) 423304 < Price <= 430937  [Confidence: 0.46%; impurity: 0.45%]\n\n\n5.63578: (data 0.00% / prediction 0.18%) 430937 < Price <= 433934  [Confidence: 0.19%; impurity: 0.43%]\n\n\n5.63927: (data 0.00% / prediction 0.30%) 433934 < Price <= 437832  [Confidence: 0.21%; impurity: 0.46%]\n\n\n5.64437: (data 0.00% / prediction 0.35%) 437832 < Price <= 443184  [Confidence: 0.31%; impurity: 0.46%]\n\n\n5.64892: (data 0.00% / prediction 0.22%) 443184 < Price <= 448094  [Confidence: 0.38%; impurity: 0.44%]\n\n\n5.65367: (data 0.00% / prediction 0.40%) 448094 < Price <= 453598  [Confidence: 0.32%; impurity: 0.47%]\n\n\n5.65956: (data 0.00% / prediction 0.43%) 453598 < Price <= 461054  [Confidence: 0.40%; impurity: 0.47%]\n\n\n5.66689: (data 0.00% / prediction 0.35%) 461054 < Price <= 467749  [Confidence: 0.40%; impurity: 0.46%]\n\n\n5.67312: (data 0.00% / prediction 0.30%) 467749 < Price <= 473227  [Confidence: 0.35%; impurity: 0.46%]\n\n\n5.6778: (data 0.00% / prediction 0.30%) 473227 < Price <= 479200  [Confidence: 0.37%; impurity: 0.46%]\n\n\n5.68319: (data 0.00% / prediction 0.37%) 479200 < Price <= 485347  [Confidence: 0.33%; impurity: 0.47%]\n\n\n5.68832: (data 0.00% / prediction 0.35%) 485347 < Price <= 490557  [Confidence: 0.22%; impurity: 0.46%]\n\n\n5.69342: (data 0.00% / prediction 0.32%) 490557 < Price <= 497331  [Confidence: 0.34%; impurity: 0.46%]\n\n\n5.69867: (data 0.00% / prediction 0.27%) 497331 < Price <= 502244  [Confidence: 0.27%; impurity: 0.45%]\n\n\n5.70349: (data 0.00% / prediction 0.47%) 502244 < Price <= 509366  [Confidence: 0.32%; impurity: 0.47%]\n\n\n5.70924: (data 0.00% / prediction 0.22%) 509366 < Price <= 513907  [Confidence: 0.28%; impurity: 0.44%]\n\n\n5.71253: (data 0.00% / prediction 0.25%) 513907 < Price <= 517435  [Confidence: 0.20%; impurity: 0.45%]\n\n\n5.7165: (data 0.00% / prediction 0.35%) 517435 < Price <= 522963  [Confidence: 0.26%; impurity: 0.46%]\n\n\n5.72056: (data 0.00% / prediction 0.22%) 522963 < Price <= 527707  [Confidence: 0.27%; impurity: 0.44%]\n\n\n5.72411: (data 0.00% / prediction 0.20%) 527707 < Price <= 532498  [Confidence: 0.28%; impurity: 0.44%]\n\n\n5.72993: (data 0.00% / prediction 0.32%) 532498 < Price <= 539813  [Confidence: 0.28%; impurity: 0.46%]\n\n\n5.73485: (data 0.00% / prediction 0.30%) 539813 < Price <= 546896  [Confidence: 0.35%; impurity: 0.46%]\n\n\n5.74025: (data 0.00% / prediction 0.30%) 546896 < Price <= 553464  [Confidence: 0.30%; impurity: 0.46%]\n\n\n5.74607: (data 0.00% / prediction 0.43%) 553464 < Price <= 561675  [Confidence: 0.31%; impurity: 0.47%]\n\n\n5.75215: (data 0.00% / prediction 0.32%) 561675 < Price <= 569278  [Confidence: 0.32%; impurity: 0.46%]\n\n\n5.75756: (data 0.00% / prediction 0.27%) 569278 < Price <= 575326  [Confidence: 0.22%; impurity: 0.45%]\n\n\n5.76322: (data 0.00% / prediction 0.37%) 575326 < Price <= 583066  [Confidence: 0.35%; impurity: 0.47%]\n\n\n5.76817: (data 0.00% / prediction 0.37%) 583066 < Price <= 589112  [Confidence: 0.24%; impurity: 0.47%]\n\n\n5.77246: (data 0.00% / prediction 0.53%) 589112 < Price <= 596001  [Confidence: 0.25%; impurity: 0.48%]\n\n\n5.77789: (data 0.00% / prediction 0.37%) 596001 < Price <= 603131  [Confidence: 0.33%; impurity: 0.47%]\n\n\n5.78321: (data 0.00% / prediction 0.40%) 603131 < Price <= 610185  [Confidence: 0.28%; impurity: 0.47%]\n\n\n5.78769: (data 0.00% / prediction 0.37%) 610185 < Price <= 616372  [Confidence: 0.29%; impurity: 0.47%]\n\n\n5.79204: (data 0.00% / prediction 0.45%) 616372 < Price <= 623236  [Confidence: 0.27%; impurity: 0.47%]\n\n\n5.79683: (data 0.00% / prediction 0.35%) 623236 < Price <= 628942  [Confidence: 0.27%; impurity: 0.46%]\n\n\n5.80097: (data 0.00% / prediction 0.53%) 628942 < Price <= 634524  [Confidence: 0.17%; impurity: 0.48%]\n\n\n5.80417: (data 0.00% / prediction 0.27%) 634524 < Price <= 642579  [Confidence: 0.33%; impurity: 0.45%]\n\n\n5.8107: (data 0.00% / prediction 0.47%) 642579 < Price <= 650716  [Confidence: 0.33%; impurity: 0.47%]\n\n\n5.81606: (data 0.00% / prediction 0.45%) 650716 < Price <= 657991  [Confidence: 0.25%; impurity: 0.47%]\n\n\n5.81987: (data 0.00% / prediction 0.37%) 657991 < Price <= 664193  [Confidence: 0.24%; impurity: 0.47%]\n\n\n5.82523: (data 0.00% / prediction 0.45%) 664193 < Price <= 672310  [Confidence: 0.30%; impurity: 0.47%]\n\n\n5.83015: (data 0.00% / prediction 0.57%) 672310 < Price <= 679973  [Confidence: 0.23%; impurity: 0.48%]\n\n\n5.83375: (data 0.00% / prediction 0.30%) 679973 < Price <= 684592  [Confidence: 0.19%; impurity: 0.46%]\n\n\n5.83712: (data 0.00% / prediction 0.18%) 684592 < Price <= 689310  [Confidence: 0.27%; impurity: 0.43%]\n\n\n5.84014: (data 0.00% / prediction 0.30%) 689310 < Price <= 695169  [Confidence: 0.28%; impurity: 0.46%]\n\n\n5.84386: (data 0.00% / prediction 0.47%) 695169 < Price <= 702578  [Confidence: 0.21%; impurity: 0.47%]\n\n\n5.84874: (data 0.00% / prediction 0.35%) 702578 < Price <= 709121  [Confidence: 0.20%; impurity: 0.46%]\n\n\n5.85289: (data 0.00% / prediction 0.40%) 709121 < Price <= 717087  [Confidence: 0.30%; impurity: 0.47%]\n\n\n5.8577: (data 0.00% / prediction 0.37%) 717087 < Price <= 724960  [Confidence: 0.24%; impurity: 0.47%]\n\n\n5.86253: (data 0.00% / prediction 0.35%) 724960 < Price <= 731618  [Confidence: 0.24%; impurity: 0.46%]\n\n\n5.86645: (data 0.00% / prediction 0.45%) 731618 < Price <= 740085  [Confidence: 0.27%; impurity: 0.47%]\n\n\n5.87185: (data 0.00% / prediction 0.32%) 740085 < Price <= 748707  [Confidence: 0.28%; impurity: 0.46%]\n\n\n5.87698: (data 0.00% / prediction 0.47%) 748707 < Price <= 761126  [Confidence: 0.36%; impurity: 0.47%]\n\n\n5.8842: (data 0.00% / prediction 0.53%) 761126 < Price <= 771005  [Confidence: 0.29%; impurity: 0.48%]\n\n\n5.88952: (data 0.00% / prediction 0.35%) 771005 < Price <= 779071  [Confidence: 0.30%; impurity: 0.46%]\n\n\n5.8939: (data 0.00% / prediction 0.45%) 779071 < Price <= 787858  [Confidence: 0.29%; impurity: 0.47%]\n\n\n5.89882: (data 0.00% / prediction 0.37%) 787858 < Price <= 795235  [Confidence: 0.23%; impurity: 0.47%]\n\n\n5.90222: (data 0.00% / prediction 0.37%) 795235 < Price <= 803112  [Confidence: 0.25%; impurity: 0.47%]\n\n\n5.90715: (data 0.00% / prediction 0.37%) 803112 < Price <= 812217  [Confidence: 0.29%; impurity: 0.47%]\n\n\n5.91112: (data 0.00% / prediction 0.37%) 812217 < Price <= 817516  [Confidence: 0.16%; impurity: 0.47%]\n\n\n5.91401: (data 0.00% / prediction 0.43%) 817516 < Price <= 824415  [Confidence: 0.20%; impurity: 0.47%]\n\n\n5.91808: (data 0.00% / prediction 0.50%) 824415 < Price <= 831981  [Confidence: 0.20%; impurity: 0.47%]\n\n\n5.92228: (data 0.00% / prediction 0.43%) 831981 < Price <= 841372  [Confidence: 0.26%; impurity: 0.47%]\n\n\n5.92704: (data 0.00% / prediction 0.43%) 841372 < Price <= 850032  [Confidence: 0.21%; impurity: 0.47%]\n\n\n5.93153: (data 0.00% / prediction 0.32%) 850032 < Price <= 856942  [Confidence: 0.16%; impurity: 0.46%]\n\n\n5.93466: (data 0.00% / prediction 0.47%) 856942 < Price <= 864148  [Confidence: 0.19%; impurity: 0.47%]\n\n\n5.93906: (data 0.00% / prediction 0.45%) 864148 < Price <= 873631  [Confidence: 0.24%; impurity: 0.47%]\n\n\n5.94397: (data 0.00% / prediction 0.55%) 873631 < Price <= 883071  [Confidence: 0.22%; impurity: 0.48%]\n\n\n5.94794: (data 0.00% / prediction 0.30%) 883071 < Price <= 890603  [Confidence: 0.23%; impurity: 0.46%]\n\n\n5.95225: (data 0.00% / prediction 0.40%) 890603 < Price <= 900294  [Confidence: 0.23%; impurity: 0.47%]\n\n\n5.95618: (data 0.00% / prediction 0.37%) 900294 < Price <= 908286  [Confidence: 0.25%; impurity: 0.47%]\n\n\n5.96043: (data 0.00% / prediction 0.63%) 908286 < Price <= 917027  [Confidence: 0.21%; impurity: 0.48%]\n\n\n5.96494: (data 0.00% / prediction 0.63%) 917027 < Price <= 927001  [Confidence: 0.24%; impurity: 0.48%]\n\n\n5.96935: (data 0.00% / prediction 0.47%) 927001 < Price <= 935255  [Confidence: 0.23%; impurity: 0.47%]\n\n\n5.97261: (data 0.00% / prediction 0.57%) 935255 < Price <= 941493  [Confidence: 0.16%; impurity: 0.48%]\n\n\n5.97566: (data 0.00% / prediction 0.55%) 941493 < Price <= 949488  [Confidence: 0.20%; impurity: 0.48%]\n\n\n5.97907: (data 0.00% / prediction 0.40%) 949488 < Price <= 956756  [Confidence: 0.17%; impurity: 0.47%]\n\n\n5.98327: (data 0.00% / prediction 0.77%) 956756 < Price <= 967312  [Confidence: 0.19%; impurity: 0.48%]\n\n\n5.9877: (data 0.00% / prediction 0.30%) 967312 < Price <= 974866  [Confidence: 0.20%; impurity: 0.46%]\n\n\n5.9909: (data 0.00% / prediction 0.55%) 974866 < Price <= 983420  [Confidence: 0.24%; impurity: 0.48%]\n\n\n5.99465: (data 0.00% / prediction 0.53%) 983420 < Price <= 992438  [Confidence: 0.20%; impurity: 0.48%]\n\n\n5.99821: (data 0.00% / prediction 0.57%) 992438 < Price <= 999892  [Confidence: 0.18%; impurity: 0.48%]\n\n\n6.00211: (data 0.00% / prediction 0.67%) 999892 < Price <= 1011449  [Confidence: 0.22%; impurity: 0.48%]\n\n\n6.00699: (data 0.00% / prediction 0.43%) 1011449 < Price <= 1020339  [Confidence: 0.22%; impurity: 0.47%]\n\n\n6.01047: (data 0.00% / prediction 0.57%) 1020339 < Price <= 1029666  [Confidence: 0.19%; impurity: 0.48%]\n\n\n6.01459: (data 0.00% / prediction 0.30%) 1029666 < Price <= 1038584  [Confidence: 0.25%; impurity: 0.46%]\n\n\n6.01848: (data 0.00% / prediction 0.30%) 1038584 < Price <= 1046281  [Confidence: 0.17%; impurity: 0.46%]\n\n\n6.02098: (data 0.00% / prediction 0.32%) 1046281 < Price <= 1054055  [Confidence: 0.20%; impurity: 0.46%]\n\n\n6.02473: (data 0.00% / prediction 0.32%) 1054055 < Price <= 1062760  [Confidence: 0.21%; impurity: 0.46%]\n\n\n6.02866: (data 0.00% / prediction 0.77%) 1062760 < Price <= 1073633  [Confidence: 0.19%; impurity: 0.48%]\n\n\n6.03281: (data 0.00% / prediction 0.40%) 1073633 < Price <= 1080988  [Confidence: 0.17%; impurity: 0.47%]\n\n\n6.0352: (data 0.00% / prediction 0.43%) 1080988 < Price <= 1089423  [Confidence: 0.20%; impurity: 0.47%]\n\n\n6.03912: (data 0.00% / prediction 0.60%) 1089423 < Price <= 1099606  [Confidence: 0.21%; impurity: 0.48%]\n\n\n6.04308: (data 0.00% / prediction 0.53%) 1099606 < Price <= 1109847  [Confidence: 0.22%; impurity: 0.48%]\n\n\n6.04728: (data 0.00% / prediction 0.45%) 1109847 < Price <= 1119219  [Confidence: 0.19%; impurity: 0.47%]\n\n\n6.05116: (data 0.00% / prediction 0.40%) 1119219 < Price <= 1129619  [Confidence: 0.21%; impurity: 0.47%]\n\n\n6.05464: (data 0.00% / prediction 0.55%) 1129619 < Price <= 1139290  [Confidence: 0.15%; impurity: 0.48%]\n\n\n6.05821: (data 0.00% / prediction 0.40%) 1139290 < Price <= 1147500  [Confidence: 0.18%; impurity: 0.47%]\n\n\n6.06139: (data 0.00% / prediction 0.63%) 1147500 < Price <= 1158519  [Confidence: 0.19%; impurity: 0.48%]\n\n\n6.06556: (data 0.00% / prediction 0.43%) 1158519 < Price <= 1167147  [Confidence: 0.21%; impurity: 0.47%]\n\n\n6.06874: (data 0.00% / prediction 0.47%) 1167147 < Price <= 1176406  [Confidence: 0.18%; impurity: 0.47%]\n\n\n6.07211: (data 0.00% / prediction 0.50%) 1176406 < Price <= 1186432  [Confidence: 0.21%; impurity: 0.47%]\n\n\n6.07608: (data 0.00% / prediction 0.40%) 1186432 < Price <= 1194937  [Confidence: 0.19%; impurity: 0.47%]\n\n\n6.07894: (data 0.00% / prediction 0.53%) 1194937 < Price <= 1204925  [Confidence: 0.17%; impurity: 0.48%]\n\n\n6.08282: (data 0.00% / prediction 0.57%) 1204925 < Price <= 1214688  [Confidence: 0.19%; impurity: 0.48%]\n\n\n6.08656: (data 0.00% / prediction 0.77%) 1214688 < Price <= 1225914  [Confidence: 0.18%; impurity: 0.48%]\n\n\n6.0904: (data 0.00% / prediction 0.47%) 1225914 < Price <= 1234528  [Confidence: 0.16%; impurity: 0.47%]\n\n\n6.09296: (data 0.00% / prediction 0.57%) 1234528 < Price <= 1242880  [Confidence: 0.17%; impurity: 0.48%]\n\n\n6.0959: (data 0.00% / prediction 0.45%) 1242880 < Price <= 1252601  [Confidence: 0.18%; impurity: 0.47%]\n\n\n6.09934: (data 0.00% / prediction 0.57%) 1252601 < Price <= 1262669  [Confidence: 0.19%; impurity: 0.48%]\n\n\n6.10322: (data 0.00% / prediction 0.53%) 1262669 < Price <= 1274033  [Confidence: 0.21%; impurity: 0.48%]\n\n\n6.10678: (data 0.00% / prediction 0.67%) 1274033 < Price <= 1284297  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.11066: (data 0.00% / prediction 0.55%) 1284297 < Price <= 1297797  [Confidence: 0.22%; impurity: 0.48%]\n\n\n6.11504: (data 0.00% / prediction 0.43%) 1297797 < Price <= 1308165  [Confidence: 0.14%; impurity: 0.47%]\n\n\n6.11867: (data 0.00% / prediction 0.65%) 1308165 < Price <= 1321101  [Confidence: 0.20%; impurity: 0.48%]\n\n\n6.12266: (data 0.00% / prediction 0.55%) 1321101 < Price <= 1331191  [Confidence: 0.17%; impurity: 0.48%]\n\n\n6.12566: (data 0.00% / prediction 0.35%) 1331191 < Price <= 1340568  [Confidence: 0.16%; impurity: 0.46%]\n\n\n6.12928: (data 0.00% / prediction 0.75%) 1340568 < Price <= 1353329  [Confidence: 0.18%; impurity: 0.48%]\n\n\n6.13351: (data 0.00% / prediction 0.55%) 1353329 < Price <= 1365919  [Confidence: 0.23%; impurity: 0.48%]\n\n\n6.13752: (data 0.00% / prediction 0.53%) 1365919 < Price <= 1377874  [Confidence: 0.23%; impurity: 0.47%]\n\n\n6.1408: (data 0.00% / prediction 0.57%) 1377874 < Price <= 1388411  [Confidence: 0.19%; impurity: 0.48%]\n\n\n6.14392: (data 0.00% / prediction 0.45%) 1388411 < Price <= 1397985  [Confidence: 0.18%; impurity: 0.47%]\n\n\n6.14711: (data 0.00% / prediction 0.65%) 1397985 < Price <= 1410088  [Confidence: 0.18%; impurity: 0.48%]\n\n\n6.15131: (data 0.00% / prediction 0.53%) 1410088 < Price <= 1421804  [Confidence: 0.18%; impurity: 0.48%]\n\n\n6.15459: (data 0.00% / prediction 0.85%) 1421804 < Price <= 1435267  [Confidence: 0.17%; impurity: 0.48%]\n\n\n6.15897: (data 0.00% / prediction 0.35%) 1435267 < Price <= 1446228  [Confidence: 0.24%; impurity: 0.46%]\n\n\n6.16152: (data 0.00% / prediction 0.50%) 1446228 < Price <= 1455666  [Confidence: 0.15%; impurity: 0.47%]\n\n\n6.16486: (data 0.00% / prediction 0.60%) 1455666 < Price <= 1468480  [Confidence: 0.21%; impurity: 0.48%]\n\n\n6.1685: (data 0.00% / prediction 0.70%) 1468480 < Price <= 1479014  [Confidence: 0.13%; impurity: 0.48%]\n\n\n6.17162: (data 0.00% / prediction 0.67%) 1479014 < Price <= 1491266  [Confidence: 0.17%; impurity: 0.48%]\n\n\n6.17538: (data 0.00% / prediction 0.70%) 1491266 < Price <= 1503819  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.17863: (data 0.00% / prediction 0.55%) 1503819 < Price <= 1515175  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.18203: (data 0.00% / prediction 0.27%) 1515175 < Price <= 1524146  [Confidence: 0.15%; impurity: 0.45%]\n\n\n6.1847: (data 0.00% / prediction 0.53%) 1524146 < Price <= 1535121  [Confidence: 0.17%; impurity: 0.48%]\n\n\n6.18761: (data 0.00% / prediction 0.77%) 1535121 < Price <= 1547009  [Confidence: 0.15%; impurity: 0.48%]\n\n\n6.19113: (data 0.00% / prediction 0.70%) 1547009 < Price <= 1558844  [Confidence: 0.14%; impurity: 0.48%]\n\n\n6.19412: (data 0.00% / prediction 0.67%) 1558844 < Price <= 1570451  [Confidence: 0.15%; impurity: 0.48%]\n\n\n6.1976: (data 0.00% / prediction 0.53%) 1570451 < Price <= 1581303  [Confidence: 0.17%; impurity: 0.48%]\n\n\n6.20068: (data 0.00% / prediction 0.57%) 1581303 < Price <= 1595362  [Confidence: 0.17%; impurity: 0.48%]\n\n\n6.20451: (data 0.00% / prediction 0.60%) 1595362 < Price <= 1607680  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.20794: (data 0.00% / prediction 0.60%) 1607680 < Price <= 1618948  [Confidence: 0.18%; impurity: 0.48%]\n\n\n6.21043: (data 0.00% / prediction 0.32%) 1618948 < Price <= 1628652  [Confidence: 0.16%; impurity: 0.46%]\n\n\n6.21328: (data 0.00% / prediction 0.77%) 1628652 < Price <= 1640150  [Confidence: 0.15%; impurity: 0.48%]\n\n\n6.21666: (data 0.00% / prediction 0.67%) 1640150 < Price <= 1654003  [Confidence: 0.17%; impurity: 0.48%]\n\n\n6.2201: (data 0.00% / prediction 0.57%) 1654003 < Price <= 1665493  [Confidence: 0.14%; impurity: 0.48%]\n\n\n6.2234: (data 0.00% / prediction 0.55%) 1665493 < Price <= 1677994  [Confidence: 0.17%; impurity: 0.48%]\n\n\n6.22612: (data 0.00% / prediction 0.55%) 1677994 < Price <= 1687392  [Confidence: 0.14%; impurity: 0.48%]\n\n\n6.22858: (data 0.00% / prediction 0.65%) 1687392 < Price <= 1699125  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.23159: (data 0.00% / prediction 0.73%) 1699125 < Price <= 1711661  [Confidence: 0.14%; impurity: 0.48%]\n\n\n6.23505: (data 0.00% / prediction 0.75%) 1711661 < Price <= 1724748  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.23836: (data 0.00% / prediction 0.75%) 1724748 < Price <= 1735253  [Confidence: 0.13%; impurity: 0.48%]\n\n\n6.24128: (data 0.00% / prediction 0.73%) 1735253 < Price <= 1749037  [Confidence: 0.15%; impurity: 0.48%]\n\n\n6.24427: (data 0.00% / prediction 0.57%) 1749037 < Price <= 1760898  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.24735: (data 0.00% / prediction 0.50%) 1760898 < Price <= 1773316  [Confidence: 0.16%; impurity: 0.47%]\n\n\n6.25043: (data 0.00% / prediction 0.47%) 1773316 < Price <= 1785126  [Confidence: 0.13%; impurity: 0.47%]\n\n\n6.25336: (data 0.00% / prediction 0.85%) 1785126 < Price <= 1799610  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.25681: (data 0.00% / prediction 0.60%) 1799610 < Price <= 1809992  [Confidence: 0.12%; impurity: 0.48%]\n\n\n6.25905: (data 0.00% / prediction 0.57%) 1809992 < Price <= 1822269  [Confidence: 0.15%; impurity: 0.48%]\n\n\n6.26212: (data 0.00% / prediction 0.75%) 1822269 < Price <= 1834059  [Confidence: 0.15%; impurity: 0.48%]\n\n\n6.26507: (data 0.00% / prediction 0.57%) 1834059 < Price <= 1846976  [Confidence: 0.18%; impurity: 0.48%]\n\n\n6.26789: (data 0.00% / prediction 0.55%) 1846976 < Price <= 1858979  [Confidence: 0.13%; impurity: 0.48%]\n\n\n6.27094: (data 0.00% / prediction 0.63%) 1858979 < Price <= 1872595  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.27385: (data 0.00% / prediction 0.55%) 1872595 < Price <= 1884815  [Confidence: 0.15%; impurity: 0.48%]\n\n\n6.27707: (data 0.00% / prediction 0.80%) 1884815 < Price <= 1899771  [Confidence: 0.15%; impurity: 0.48%]\n\n\n6.28042: (data 0.00% / prediction 0.92%) 1899771 < Price <= 1915306  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.28429: (data 0.00% / prediction 0.70%) 1915306 < Price <= 1930599  [Confidence: 0.15%; impurity: 0.48%]\n\n\n6.28698: (data 0.00% / prediction 0.57%) 1930599 < Price <= 1942325  [Confidence: 0.12%; impurity: 0.48%]\n\n\n6.28992: (data 0.00% / prediction 0.67%) 1942325 < Price <= 1955694  [Confidence: 0.13%; impurity: 0.48%]\n\n\n6.29273: (data 0.00% / prediction 0.90%) 1955694 < Price <= 1969928  [Confidence: 0.13%; impurity: 0.48%]\n\n\n6.29652: (data 0.00% / prediction 0.85%) 1969928 < Price <= 1986782  [Confidence: 0.16%; impurity: 0.48%]\n\n\n6.29976: (data 0.00% / prediction 0.63%) Price > 1986782 [Confidence: 0.14%; impurity: 0.48%]\n</code></pre>"}