{"code": 200, "formatter": "summarize", "rules": "<pre><code class=\"summarize\">Data distribution:\n    1032700: 0.00% (1 instance)\n    106514.66667: 0.01% (3 instances)\n    10751.57712: 2.44% (569 instances)\n    115426.73333: 0.01% (3 instances)\n    123402.36667: 0.02% (4 instances)\n    131613.5: 0.02% (4 instances)\n    145478.6: 0.02% (4 instances)\n    155382.75: 0.01% (3 instances)\n    162497.63333: 0.02% (4 instances)\n    170647.9: 0.01% (3 instances)\n    199354.1: 0.00% (1 instance)\n    21081.08893: 0.95% (222 instances)\n    221631.2: 0.01% (3 instances)\n    229651.4: 0.00% (1 instance)\n    240358.7: 0.00% (1 instance)\n    256175.5: 0.00% (1 instance)\n    281790.9: 0.01% (2 instances)\n    305351.9: 0.00% (1 instance)\n    317154.4: 0.01% (2 instances)\n    32799.60405: 0.29% (68 instances)\n    379842.4: 0.00% (1 instance)\n    396824.5: 0.01% (2 instances)\n    40728.037: 0.17% (40 instances)\n    429602.8: 0.01% (2 instances)\n    48403.168: 0.12% (29 instances)\n    548.18865: 95.45% (22272 instances)\n    55344.23: 0.07% (16 instances)\n    63450.63387: 0.16% (38 instances)\n    78287.628: 0.05% (12 instances)\n    88860.67727: 0.06% (15 instances)\n    963405.4: 0.00% (1 instance)\n    96852.586: 0.03% (6 instances)\n\n\nPredicted distribution:\n    107270.05: 0.01% (2 instances)\n    10896.90591: 0.15% (35 instances)\n    109.47863: 8.86% (2067 instances)\n    1118.51513: 1.62% (378 instances)\n    115141.1: 0.01% (2 instances)\n    11812.72418: 0.34% (79 instances)\n    12.97319: 29.37% (6853 instances)\n    125247.74: 0.02% (5 instances)\n    12836.66045: 0.19% (44 instances)\n    12893.33: 0.01% (3 instances)\n    1302.65404: 1.49% (348 instances)\n    131858.9: 0.01% (2 instances)\n    13425.685: 0.10% (24 instances)\n    14334.76: 0.01% (2 instances)\n    14552.86333: 0.01% (3 instances)\n    14841.26353: 0.22% (51 instances)\n    14892.415: 0.01% (2 instances)\n    14920.01111: 0.04% (9 instances)\n    14976.76: 0.02% (4 instances)\n    1510.44685: 1.47% (343 instances)\n    15192.816: 0.02% (5 instances)\n    154450.59167: 0.05% (12 instances)\n    156524.64667: 0.00% (1 instance)\n    16332.1: 0.01% (2 instances)\n    16345.95933: 0.01% (3 instances)\n    16748.14333: 0.01% (3 instances)\n    17125.24852: 0.12% (27 instances)\n    173747.5: 0.01% (2 instances)\n    17383.67857: 0.03% (7 instances)\n    175.55299: 6.75% (1576 instances)\n    17500.98125: 0.03% (8 instances)\n    1760.59614: 1.31% (306 instances)\n    18220.6075: 0.02% (4 instances)\n    18286.34267: 0.06% (15 instances)\n    18745.40474: 0.00% (1 instance)\n    19153.14667: 0.01% (3 instances)\n    19313.615: 0.02% (4 instances)\n    1968.59629: 0.70% (164 instances)\n    20323.90109: 0.20% (46 instances)\n    20785.74333: 0.01% (3 instances)\n    2219.46701: 0.85% (198 instances)\n    22459.755: 0.01% (2 instances)\n    22826.71621: 0.12% (29 instances)\n    232639.9125: 0.03% (8 instances)\n    23354.66358: 0.05% (12 instances)\n    24460.84833: 0.05% (12 instances)\n    2513.04254: 0.74% (173 instances)\n    254.09535: 5.40% (1261 instances)\n    26963.0875: 0.02% (4 instances)\n    2786.99246: 0.82% (191 instances)\n    27951.42583: 0.21% (48 instances)\n    30469.87071: 0.06% (14 instances)\n    305362.9: 0.02% (4 instances)\n    3084.96846: 0.47% (109 instances)\n    30933.13: 0.01% (2 instances)\n    32787.26: 0.03% (6 instances)\n    3349.25989: 0.40% (94 instances)\n    342.01996: 4.91% (1146 instances)\n    34675.086: 0.02% (5 instances)\n    36539.32026: 0.16% (38 instances)\n    3656.63167: 0.50% (116 instances)\n    38686.21143: 0.03% (7 instances)\n    4069.96011: 0.63% (146 instances)\n    423510.84: 0.02% (5 instances)\n    43804.702: 0.02% (5 instances)\n    439.33057: 4.17% (973 instances)\n    44071.50636: 0.09% (22 instances)\n    4553.7629: 0.55% (129 instances)\n    46452.61571: 0.03% (7 instances)\n    4965.86447: 0.24% (57 instances)\n    51046.49: 0.07% (16 instances)\n    5336.82478: 0.40% (93 instances)\n    54.92162: 12.31% (2872 instances)\n    54533.834: 0.02% (5 instances)\n    547.2604: 3.57% (834 instances)\n    58892.17161: 0.00% (1 instance)\n    59011.8145: 0.09% (20 instances)\n    5914.23297: 0.41% (95 instances)\n    61729.21: 0.01% (2 instances)\n    63393.89333: 0.01% (3 instances)\n    64252.47688: 0.07% (16 instances)\n    6617.67622: 0.48% (112 instances)\n    667.3936: 2.78% (649 instances)\n    67349.64667: 0.01% (3 instances)\n    70142.345: 0.01% (2 instances)\n    7356.87914: 0.36% (85 instances)\n    78972.755: 0.02% (4 instances)\n    792.72516: 2.12% (494 instances)\n    8494.64751: 0.54% (127 instances)\n    86121.48087: 0.10% (23 instances)\n    952.19577: 2.19% (511 instances)\n    9683.90637: 0.37% (86 instances)\n    97985.5075: 0.03% (8 instances)\n    998052.7: 0.01% (2 instances)\n\n\nField importance:\n    1. Shape__Area: 99.95%\n    2. Decade: 0.02%\n    3. \ufeffYear: 0.01%\n    4. Cause: 0.01%\n    5. Local Incident Number: 0.00%\n    6. Collection Method: 0.00%\n    7. Shape__Length: 0.00%\n    8. Fire Number (historical use): 0.00%\n\n\nRules summary:\n\n\n107270.05: (data 0.00% / prediction 0.01%) 622050697.85 < Shape__Area <= 728313154.7  and 1983 < \ufeffYear <= 2007  [Confidence: 316427.10%; impurity: 0.25%]\n\n\n10896.90591: (data 0.00% / prediction 0.15%) 66969615.23857 < Shape__Area <= 71595644.52694  [Confidence: 130593.76%; impurity: 0.48%]\n\n\n109.47863: (data 0.00% / prediction 8.86%) 509843.43106 < Shape__Area <= 898897.25504  [Confidence: 2089.85%; impurity: 0.48%]\n\n\n1118.51513: (data 0.00% / prediction 1.62%) 6672887.32355 < Shape__Area <= 7788276.13467  [Confidence: 10775.53%; impurity: 0.48%]\n\n\n115141.1: (data 0.00% / prediction 0.01%) 622050697.85 < Shape__Area <= 728313154.7  and \ufeffYear <= 1983 [Confidence: 417513.10%; impurity: 0.25%]\n\n\n11812.72418: (data 0.00% / prediction 0.34%) 71595644.52694 < Shape__Area <= 80313587.249  [Confidence: 121698.09%; impurity: 0.48%]\n\n\n12.97319: (data 0.00% / prediction 29.37%) Shape__Area <= 218557.89769 [Confidence: 987.54%; impurity: 0.48%]\n\n\n125247.74: (data 0.00% / prediction 0.02%) 728313154.7 < Shape__Area <= 918379390.05  and Shape__Length <= 299406.5092 [Confidence: 1289542.68%; impurity: 0.40%]\n\n\n12836.66045: (data 0.00% / prediction 0.19%) 80313587.249 < Shape__Area <= 91331814.27381  and Cause <= 12 [Confidence: 150051.31%; impurity: 0.48%]\n\n\n12893.33: (data 0.00% / prediction 0.01%) 87185768.89 < Shape__Area <= 91331814.27381  and Cause > 12 and 143 < Fire Number (historical use) <= 691.5  [Confidence: 128916.71%; impurity: 0.33%]\n\n\n1302.65404: (data 0.00% / prediction 1.49%) 7788276.13467 < Shape__Area <= 8921716.32369  [Confidence: 11855.62%; impurity: 0.48%]\n\n\n131858.9: (data 0.00% / prediction 0.01%) 728313154.7 < Shape__Area <= 918379390.05  and Shape__Length > 299406.5092 [Confidence: 258535.74%; impurity: 0.25%]\n\n\n13425.685: (data 0.00% / prediction 0.10%) 80313587.249 < Shape__Area <= 87185768.89  and Cause > 12 [Confidence: 178106.84%; impurity: 0.48%]\n\n\n14334.76: (data 0.00% / prediction 0.01%) 87185768.89 < Shape__Area <= 91331814.27381  and Cause > 12 [Confidence: 205783.91%; impurity: 0.46%]\n\n\n14552.86333: (data 0.00% / prediction 0.01%) 87185768.89 < Shape__Area <= 91331814.27381  and Cause > 12 and Fire Number (historical use) > 691.5 [Confidence: 85640.92%; impurity: 0.33%]\n\n\n14841.26353: (data 0.00% / prediction 0.22%) 91331814.27381 < Shape__Area <= 100715295.905  [Confidence: 189640.64%; impurity: 0.48%]\n\n\n14892.415: (data 0.00% / prediction 0.01%) 100715295.905 < Shape__Area <= 107748113.15  and Shape__Length <= 49059.63414 and Cause > 11 [Confidence: 29630.47%; impurity: 0.25%]\n\n\n14920.01111: (data 0.00% / prediction 0.04%) 100715295.905 < Shape__Area <= 107748113.15  and 49059.63414 < Shape__Length <= 67514.35203  [Confidence: 120621.83%; impurity: 0.44%]\n\n\n14976.76: (data 0.00% / prediction 0.02%) 87185768.89 < Shape__Area <= 91331814.27381  and Cause > 12 and Fire Number (historical use) <= 143 [Confidence: 39771.36%; impurity: 0.38%]\n\n\n1510.44685: (data 0.00% / prediction 1.47%) 8921716.32369 < Shape__Area <= 10342171.57423  [Confidence: 14692.47%; impurity: 0.48%]\n\n\n15192.816: (data 0.00% / prediction 0.02%) 100715295.905 < Shape__Area <= 107748113.15  and Shape__Length > 67514.35203 and Decade = 2010-2019 [Confidence: 297770.47%; impurity: 0.40%]\n\n\n154450.59167: (data 0.00% / prediction 0.05%) 918379390.05 < Shape__Area <= 1233831336.5  and Decade != 1970-1979 [Confidence: 2358358.90%; impurity: 0.46%]\n\n\n156524.64667: (data 0.00% / prediction 0.00%) 918379390.05 < Shape__Area <= 1233831336.5  [Confidence: 2450402.05%; impurity: 0.47%]\n\n\n16332.1: (data 0.00% / prediction 0.01%) 114263240.85 < Shape__Area <= 117813328.5  and Shape__Length <= 59194.99595 [Confidence: 169207.11%; impurity: 0.25%]\n\n\n16345.95933: (data 0.00% / prediction 0.01%) 100715295.905 < Shape__Area <= 107748113.15  and Shape__Length > 67514.35203 [Confidence: 266234.47%; impurity: 0.47%]\n\n\n16748.14333: (data 0.00% / prediction 0.01%) 100715295.905 < Shape__Area <= 107748113.15  and Shape__Length <= 49059.63414 and Cause <= 11 [Confidence: 268551.84%; impurity: 0.33%]\n\n\n17125.24852: (data 0.00% / prediction 0.12%) 108315431.55795 < Shape__Area <= 113656486.675  [Confidence: 211190.84%; impurity: 0.48%]\n\n\n173747.5: (data 0.00% / prediction 0.01%) 918379390.05 < Shape__Area <= 1233831336.5  and Decade = 1970-1979 [Confidence: 436160.54%; impurity: 0.25%]\n\n\n17383.67857: (data 0.00% / prediction 0.03%) 100715295.905 < Shape__Area <= 107748113.15  and Shape__Length > 67514.35203 and Decade != 2010-2019 [Confidence: 182385.44%; impurity: 0.43%]\n\n\n175.55299: (data 0.00% / prediction 6.75%) 898897.25504 < Shape__Area <= 1346276.68373  [Confidence: 2607.94%; impurity: 0.48%]\n\n\n17500.98125: (data 0.00% / prediction 0.03%) 114263240.85 < Shape__Area <= 117813328.5  and Shape__Length > 66575.25021 [Confidence: 148881.82%; impurity: 0.44%]\n\n\n1760.59614: (data 0.00% / prediction 1.31%) 10342171.57423 < Shape__Area <= 12095764.2279  [Confidence: 16594.09%; impurity: 0.48%]\n\n\n18220.6075: (data 0.00% / prediction 0.02%) 107748113.15 < Shape__Area <= 108315431.55795  [Confidence: 84779.64%; impurity: 0.38%]\n\n\n18286.34267: (data 0.00% / prediction 0.06%) 117813328.5 < Shape__Area <= 136567599.95577  and Cause <= 8 and Decade != 1990-1999 [Confidence: 186037.26%; impurity: 0.47%]\n\n\n18745.40474: (data 0.00% / prediction 0.00%) 117813328.5 < Shape__Area <= 136567599.95577  and Cause <= 8 [Confidence: 243053.34%; impurity: 0.47%]\n\n\n19153.14667: (data 0.00% / prediction 0.01%) 114263240.85 < Shape__Area <= 117813328.5  and 59194.99595 < Shape__Length <= 66575.25021  [Confidence: 184124.60%; impurity: 0.33%]\n\n\n19313.615: (data 0.00% / prediction 0.02%) 113656486.675 < Shape__Area <= 114263240.85  [Confidence: 76251.35%; impurity: 0.38%]\n\n\n1968.59629: (data 0.00% / prediction 0.70%) 12095764.2279 < Shape__Area <= 13236741.15963  [Confidence: 20005.93%; impurity: 0.48%]\n\n\n20323.90109: (data 0.00% / prediction 0.20%) 117813328.5 < Shape__Area <= 136567599.95577  and Cause > 8 [Confidence: 210786.56%; impurity: 0.48%]\n\n\n20785.74333: (data 0.00% / prediction 0.01%) 117813328.5 < Shape__Area <= 136567599.95577  and Cause <= 8 and Decade = 1990-1999 [Confidence: 381233.04%; impurity: 0.33%]\n\n\n2219.46701: (data 0.00% / prediction 0.85%) 13236741.15963 < Shape__Area <= 14934912.70123  [Confidence: 20265.17%; impurity: 0.48%]\n\n\n22459.755: (data 0.00% / prediction 0.01%) 161166697.12917 < Shape__Area <= 164244129.56667  and Local Incident Number > 3356.5 [Confidence: 203125.44%; impurity: 0.25%]\n\n\n22826.71621: (data 0.00% / prediction 0.12%) 136567599.95577 < Shape__Area <= 161166697.12917  and Fire Number (historical use) > 5.5 [Confidence: 271559.41%; impurity: 0.48%]\n\n\n232639.9125: (data 0.00% / prediction 0.03%) 1233831336.5 < Shape__Area <= 1674527331  [Confidence: 6098914.58%; impurity: 0.44%]\n\n\n23354.66358: (data 0.00% / prediction 0.05%) 136567599.95577 < Shape__Area <= 161166697.12917  [Confidence: 238650.39%; impurity: 0.48%]\n\n\n24460.84833: (data 0.00% / prediction 0.05%) 136567599.95577 < Shape__Area <= 161166697.12917  and Fire Number (historical use) <= 5.5 [Confidence: 247520.55%; impurity: 0.46%]\n\n\n2513.04254: (data 0.00% / prediction 0.74%) 14934912.70123 < Shape__Area <= 16693742.32948  [Confidence: 22278.30%; impurity: 0.48%]\n\n\n254.09535: (data 0.00% / prediction 5.40%) 1346276.68373 < Shape__Area <= 1907718.00086  [Confidence: 3273.96%; impurity: 0.48%]\n\n\n26963.0875: (data 0.00% / prediction 0.02%) 161166697.12917 < Shape__Area <= 164244129.56667  and Local Incident Number <= 3356.5 [Confidence: 178375.22%; impurity: 0.38%]\n\n\n2786.99246: (data 0.00% / prediction 0.82%) 16693742.32948 < Shape__Area <= 18923563.28992  [Confidence: 26309.06%; impurity: 0.48%]\n\n\n27951.42583: (data 0.00% / prediction 0.21%) 164244129.56667 < Shape__Area <= 199201989.10387  [Confidence: 372451.47%; impurity: 0.48%]\n\n\n30469.87071: (data 0.00% / prediction 0.06%) 199201989.10387 < Shape__Area <= 214967363  [Confidence: 390195.80%; impurity: 0.46%]\n\n\n305362.9: (data 0.00% / prediction 0.02%) 1674527331 < Shape__Area <= 2326904351  [Confidence: 6803563.69%; impurity: 0.38%]\n\n\n3084.96846: (data 0.00% / prediction 0.47%) 18923563.28992 < Shape__Area <= 20590723.479  [Confidence: 29067.18%; impurity: 0.48%]\n\n\n30933.13: (data 0.00% / prediction 0.01%) 214967363 < Shape__Area <= 241760025.65  and Cause <= 1 and Shape__Length <= 94553.63087 [Confidence: 44532.62%; impurity: 0.25%]\n\n\n32787.26: (data 0.00% / prediction 0.03%) 214967363 < Shape__Area <= 241760025.65  and Cause <= 1 and Shape__Length > 94553.63087 [Confidence: 268464.74%; impurity: 0.42%]\n\n\n3349.25989: (data 0.00% / prediction 0.40%) 20590723.479 < Shape__Area <= 22386662.92367  [Confidence: 34302.12%; impurity: 0.48%]\n\n\n342.01996: (data 0.00% / prediction 4.91%) 1907718.00086 < Shape__Area <= 2494698.90566  [Confidence: 3873.42%; impurity: 0.48%]\n\n\n34675.086: (data 0.00% / prediction 0.02%) 241760025.65 < Shape__Area <= 254048977.45  and Cause <= 1 [Confidence: 305405.86%; impurity: 0.40%]\n\n\n36539.32026: (data 0.00% / prediction 0.16%) 214967363 < Shape__Area <= 254048977.45  and Cause > 1 [Confidence: 433879.18%; impurity: 0.48%]\n\n\n3656.63167: (data 0.00% / prediction 0.50%) 22386662.92367 < Shape__Area <= 24764145.22088  [Confidence: 36738.59%; impurity: 0.48%]\n\n\n38686.21143: (data 0.00% / prediction 0.03%) 254048977.45 < Shape__Area <= 297340853.225  and Cause <= 6 and Collection Method <= 7 [Confidence: 595383.76%; impurity: 0.43%]\n\n\n4069.96011: (data 0.00% / prediction 0.63%) 24764145.22088 < Shape__Area <= 27462005.44688  [Confidence: 39821.15%; impurity: 0.48%]\n\n\n423510.84: (data 0.00% / prediction 0.02%) 2326904351 < Shape__Area <= 5200784178.5  [Confidence: 16495275.07%; impurity: 0.40%]\n\n\n43804.702: (data 0.00% / prediction 0.02%) 254048977.45 < Shape__Area <= 297340853.225  and Cause <= 6 and Collection Method > 7 [Confidence: 318021.27%; impurity: 0.40%]\n\n\n439.33057: (data 0.00% / prediction 4.17%) 2494698.90566 < Shape__Area <= 3130753.07386  [Confidence: 4642.43%; impurity: 0.48%]\n\n\n44071.50636: (data 0.00% / prediction 0.09%) 254048977.45 < Shape__Area <= 297340853.225  and Cause > 6 [Confidence: 558488.00%; impurity: 0.48%]\n\n\n4553.7629: (data 0.00% / prediction 0.55%) 27462005.44688 < Shape__Area <= 30841375.03511  [Confidence: 47059.46%; impurity: 0.48%]\n\n\n46452.61571: (data 0.00% / prediction 0.03%) 297340853.225 < Shape__Area <= 334892378.675  and Cause <= 2 [Confidence: 624959.39%; impurity: 0.43%]\n\n\n4965.86447: (data 0.00% / prediction 0.24%) 30841375.03511 < Shape__Area <= 32622622.3005  [Confidence: 46556.16%; impurity: 0.48%]\n\n\n51046.49: (data 0.00% / prediction 0.07%) 297340853.225 < Shape__Area <= 334892378.675  and Cause > 2 [Confidence: 574038.12%; impurity: 0.47%]\n\n\n5336.82478: (data 0.00% / prediction 0.40%) 32622622.3005 < Shape__Area <= 35670596.62853  [Confidence: 57110.26%; impurity: 0.48%]\n\n\n54.92162: (data 0.00% / prediction 12.31%) 218557.89769 < Shape__Area <= 509843.43106  [Confidence: 1457.17%; impurity: 0.48%]\n\n\n54533.834: (data 0.00% / prediction 0.02%) 334892378.675 < Shape__Area <= 396125647.55  and Local Incident Number > 7444.5 [Confidence: 666954.43%; impurity: 0.40%]\n\n\n547.2604: (data 0.00% / prediction 3.57%) 3130753.07386 < Shape__Area <= 3912757.17207  [Confidence: 5858.31%; impurity: 0.48%]\n\n\n58892.17161: (data 0.00% / prediction 0.00%) 334892378.675 < Shape__Area <= 396125647.55  [Confidence: 671114.54%; impurity: 0.48%]\n\n\n59011.8145: (data 0.00% / prediction 0.09%) 334892378.675 < Shape__Area <= 396125647.55  and Local Incident Number <= 2455.5 [Confidence: 740950.80%; impurity: 0.47%]\n\n\n5914.23297: (data 0.00% / prediction 0.41%) 35670596.62853 < Shape__Area <= 40063741.86396  [Confidence: 60002.80%; impurity: 0.48%]\n\n\n61729.21: (data 0.00% / prediction 0.01%) 334892378.675 < Shape__Area <= 371851666.1  and 2455.5 < Local Incident Number <= 7444.5  [Confidence: 40002.45%; impurity: 0.25%]\n\n\n63393.89333: (data 0.00% / prediction 0.01%) 371851666.1 < Shape__Area <= 396125647.55  and 2455.5 < Local Incident Number <= 7444.5  [Confidence: 226585.27%; impurity: 0.33%]\n\n\n64252.47688: (data 0.00% / prediction 0.07%) 396125647.55 < Shape__Area <= 464151871.725  [Confidence: 739691.70%; impurity: 0.47%]\n\n\n6617.67622: (data 0.00% / prediction 0.48%) 40063741.86396 < Shape__Area <= 44881088.8756  [Confidence: 68308.45%; impurity: 0.48%]\n\n\n667.3936: (data 0.00% / prediction 2.78%) 3912757.17207 < Shape__Area <= 4704201.25725  [Confidence: 6318.65%; impurity: 0.48%]\n\n\n67349.64667: (data 0.00% / prediction 0.01%) 464151871.725 < Shape__Area <= 505260181.61111  and Cause <= 2 [Confidence: 645977.84%; impurity: 0.33%]\n\n\n70142.345: (data 0.00% / prediction 0.01%) 464151871.725 < Shape__Area <= 505260181.61111  and Cause > 2 and Decade = 2010-2019 [Confidence: 741878.53%; impurity: 0.25%]\n\n\n7356.87914: (data 0.00% / prediction 0.36%) 44881088.8756 < Shape__Area <= 49752395.10271  [Confidence: 75399.08%; impurity: 0.48%]\n\n\n78972.755: (data 0.00% / prediction 0.02%) 464151871.725 < Shape__Area <= 505260181.61111  and Cause > 2 and Decade != 2010-2019 [Confidence: 737078.71%; impurity: 0.38%]\n\n\n792.72516: (data 0.00% / prediction 2.12%) 4704201.25725 < Shape__Area <= 5539692.78056  [Confidence: 7504.25%; impurity: 0.48%]\n\n\n8494.64751: (data 0.00% / prediction 0.54%) 49752395.10271 < Shape__Area <= 58906605.55556  [Confidence: 88273.35%; impurity: 0.48%]\n\n\n86121.48087: (data 0.00% / prediction 0.10%) 505260181.61111 < Shape__Area <= 622050697.85  [Confidence: 1234175.51%; impurity: 0.48%]\n\n\n952.19577: (data 0.00% / prediction 2.19%) 5539692.78056 < Shape__Area <= 6672887.32355  [Confidence: 9172.82%; impurity: 0.48%]\n\n\n9683.90637: (data 0.00% / prediction 0.37%) 58906605.55556 < Shape__Area <= 66969615.23857  [Confidence: 108421.57%; impurity: 0.48%]\n\n\n97985.5075: (data 0.00% / prediction 0.03%) 622050697.85 < Shape__Area <= 728313154.7  and \ufeffYear > 2007 [Confidence: 2361503.49%; impurity: 0.44%]\n\n\n998052.7: (data 0.00% / prediction 0.01%) Shape__Area > 5200784178.5 [Confidence: 36501896.47%; impurity: 0.25%]\n</code></pre>"}