{"code": 200, "formatter": "summarize", "rules": "<pre><code class=\"summarize\">Data distribution:\n    1032700: 0.01% (1 instance)\n    105003.9: 0.01% (1 instance)\n    115998: 0.01% (2 instances)\n    125072.5: 0.01% (1 instance)\n    132099.85: 0.02% (4 instances)\n    150151.6: 0.01% (2 instances)\n    161151.18: 0.03% (5 instances)\n    171990.7: 0.01% (2 instances)\n    18552.02492: 0.82% (153 instances)\n    199354.1: 0.01% (1 instance)\n    220892.85: 0.02% (3 instances)\n    229651.4: 0.01% (1 instance)\n    240358.7: 0.01% (1 instance)\n    256175.5: 0.01% (1 instance)\n    26873.03194: 0.42% (78 instances)\n    270686: 0.01% (1 instance)\n    305351.9: 0.01% (1 instance)\n    317154.4: 0.01% (2 instances)\n    37056.73: 0.31% (57 instances)\n    379842.4: 0.01% (1 instance)\n    396824.5: 0.01% (1 instance)\n    410202.5: 0.01% (1 instance)\n    429602.8: 0.01% (1 instance)\n    44554.092: 0.05% (9 instances)\n    460.66144: 94.39% (17619 instances)\n    501082: 0.01% (1 instance)\n    52300.868: 0.17% (32 instances)\n    63220.79731: 0.16% (29 instances)\n    81705.50455: 0.09% (16 instances)\n    8702.00027: 3.36% (627 instances)\n    92893.136: 0.06% (12 instances)\n    963405.4: 0.01% (1 instance)\n\n\nPredicted distribution:\n    10059.91767: 0.06% (12 instances)\n    10212.15: 0.01% (2 instances)\n    10303.25154: 0.34% (63 instances)\n    111915.56667: 0.02% (3 instances)\n    1134.01293: 1.83% (342 instances)\n    11574.96: 0.02% (3 instances)\n    11785.97475: 0.32% (59 instances)\n    118.47898: 9.28% (1732 instances)\n    11982.536: 0.05% (10 instances)\n    12547.7536: 0.05% (10 instances)\n    12679.74786: 0.01% (1 instance)\n    12855.218: 0.03% (5 instances)\n    13.51168: 29.84% (5571 instances)\n    130073.625: 0.02% (4 instances)\n    13086.888: 0.03% (5 instances)\n    1345.1884: 1.57% (293 instances)\n    13530.68333: 0.02% (3 instances)\n    13676.95875: 0.04% (8 instances)\n    14060.33437: 0.01% (2 instances)\n    14165.375: 0.01% (2 instances)\n    14345.56: 0.01% (2 instances)\n    14425.34: 0.02% (3 instances)\n    14449.92722: 0.19% (36 instances)\n    14632.40889: 0.05% (9 instances)\n    14737.655: 0.02% (4 instances)\n    15051.654: 0.03% (5 instances)\n    15066.16118: 0.02% (3 instances)\n    15088.265: 0.01% (2 instances)\n    1543.95512: 1.25% (233 instances)\n    158321.79: 0.05% (10 instances)\n    16557.70333: 0.02% (3 instances)\n    16748.14333: 0.02% (3 instances)\n    17011.265: 0.01% (2 instances)\n    17430.078: 0.03% (5 instances)\n    17635.61842: 0.20% (38 instances)\n    1764.45159: 1.26% (236 instances)\n    18250.00333: 0.06% (12 instances)\n    18804.22438: 0.01% (1 instance)\n    191.73952: 6.94% (1295 instances)\n    1964.43984: 0.71% (132 instances)\n    20431.20054: 0.20% (37 instances)\n    20785.74333: 0.02% (3 instances)\n    2200.8403: 0.79% (148 instances)\n    232639.9125: 0.04% (8 instances)\n    23596.83188: 0.26% (48 instances)\n    2435.37354: 0.30% (56 instances)\n    2584.71654: 0.70% (130 instances)\n    27458.87029: 0.19% (35 instances)\n    2838.5662: 0.73% (137 instances)\n    285.03139: 5.91% (1104 instances)\n    30526.79154: 0.07% (13 instances)\n    313220.23333: 0.02% (3 instances)\n    3135.58709: 0.47% (87 instances)\n    32643.42: 0.01% (2 instances)\n    3477.60634: 0.54% (100 instances)\n    35824.83975: 0.21% (40 instances)\n    379.22571: 4.38% (818 instances)\n    3903.24223: 0.71% (133 instances)\n    423510.84: 0.03% (5 instances)\n    42861.80038: 0.14% (26 instances)\n    4341.66989: 0.47% (87 instances)\n    46208.24: 0.03% (5 instances)\n    477.36595: 4.29% (801 instances)\n    4785.88836: 0.40% (74 instances)\n    51934.34: 0.07% (14 instances)\n    5383.30869: 0.67% (125 instances)\n    55261.1275: 0.02% (4 instances)\n    58.79733: 12.68% (2367 instances)\n    593.90416: 2.95% (551 instances)\n    59301.54226: 0.01% (1 instance)\n    59930.44385: 0.14% (26 instances)\n    6411.22108: 0.67% (125 instances)\n    64745.9925: 0.02% (4 instances)\n    67269.46: 0.01% (2 instances)\n    695.67187: 2.11% (394 instances)\n    70142.345: 0.01% (2 instances)\n    7098.09404: 0.13% (25 instances)\n    7583.82993: 0.38% (71 instances)\n    76792.536: 0.03% (5 instances)\n    80542.02286: 0.04% (7 instances)\n    807.33448: 1.84% (343 instances)\n    8614.96503: 0.40% (75 instances)\n    8740.34017: 0.06% (12 instances)\n    9031.763: 0.03% (5 instances)\n    90482.64706: 0.09% (17 instances)\n    955.25716: 2.26% (422 instances)\n    9682.70739: 0.02% (4 instances)\n    998052.7: 0.01% (2 instances)\n\n\nField importance:\n    1. Shape__Area: 99.99%\n    2. Cause: 0.00%\n    3. Local Incident Number: 0.00%\n    4. Fire Number (historical use): 0.00%\n    5. Decade: 0.00%\n\n\nRules summary:\n\n\n10059.91767: (data 0.00% / prediction 0.06%) 58859475.57598 < Shape__Area <= 61622333.20357  and Cause > 1 and Fire Number (historical use) <= 172.5 [Confidence: 82861.94%; impurity: 0.46%]\n\n\n10212.15: (data 0.00% / prediction 0.01%) 58859475.57598 < Shape__Area <= 61622333.20357  and Cause > 1 and Fire Number (historical use) > 172.5 and Local Incident Number > 43902.5 [Confidence: 125622.66%; impurity: 0.25%]\n\n\n10303.25154: (data 0.00% / prediction 0.34%) 61622333.20357 < Shape__Area <= 71603955.71187  [Confidence: 115801.24%; impurity: 0.48%]\n\n\n111915.56667: (data 0.00% / prediction 0.02%) 685997303.1 < Shape__Area <= 760889946.15  [Confidence: 3058712.95%; impurity: 0.33%]\n\n\n1134.01293: (data 0.00% / prediction 1.83%) 6701540.08632 < Shape__Area <= 7966557.97405  [Confidence: 11661.02%; impurity: 0.48%]\n\n\n11574.96: (data 0.00% / prediction 0.02%) 80365387.07 < Shape__Area <= 83814306.43  and Cause > 12 and Shape__Length > 62740.90939 and Local Incident Number <= 935.5 [Confidence: 52096.97%; impurity: 0.33%]\n\n\n11785.97475: (data 0.00% / prediction 0.32%) 71603955.71187 < Shape__Area <= 80365387.07  [Confidence: 125274.80%; impurity: 0.48%]\n\n\n118.47898: (data 0.00% / prediction 9.28%) 549209.45537 < Shape__Area <= 978368.23832  [Confidence: 2290.39%; impurity: 0.48%]\n\n\n11982.536: (data 0.00% / prediction 0.05%) 80365387.07 < Shape__Area <= 89807607.22375  and Cause <= 12 and Local Incident Number <= 7610.5 and Fire Number (historical use) > 62 [Confidence: 124523.04%; impurity: 0.45%]\n\n\n12547.7536: (data 0.00% / prediction 0.05%) 80365387.07 < Shape__Area <= 89807607.22375  and Cause <= 12 and Local Incident Number <= 7610.5 [Confidence: 135033.88%; impurity: 0.48%]\n\n\n12679.74786: (data 0.00% / prediction 0.01%) 80365387.07 < Shape__Area <= 89807607.22375  and Cause <= 12 [Confidence: 144293.32%; impurity: 0.48%]\n\n\n12855.218: (data 0.00% / prediction 0.03%) 86190978.525 < Shape__Area <= 89807607.22375  and Cause > 12 and 10 < Fire Number (historical use) <= 435.5  [Confidence: 150749.09%; impurity: 0.40%]\n\n\n13.51168: (data 0.00% / prediction 29.84%) Shape__Area <= 232769.43426 [Confidence: 1050.00%; impurity: 0.48%]\n\n\n130073.625: (data 0.00% / prediction 0.02%) 760889946.15 < Shape__Area <= 922805597.65  [Confidence: 1360469.32%; impurity: 0.38%]\n\n\n13086.888: (data 0.00% / prediction 0.03%) 80365387.07 < Shape__Area <= 89807607.22375  and Cause <= 12 and Local Incident Number <= 7610.5 and Fire Number (historical use) <= 62 [Confidence: 155055.60%; impurity: 0.40%]\n\n\n1345.1884: (data 0.00% / prediction 1.57%) 7966557.97405 < Shape__Area <= 9267059.65521  [Confidence: 12798.56%; impurity: 0.48%]\n\n\n13530.68333: (data 0.00% / prediction 0.02%) 80365387.07 < Shape__Area <= 83814306.43  and Cause > 12 and Shape__Length > 62740.90939 and Local Incident Number > 935.5 [Confidence: 112279.23%; impurity: 0.33%]\n\n\n13676.95875: (data 0.00% / prediction 0.04%) 80365387.07 < Shape__Area <= 83814306.43  and Cause > 12 and Shape__Length <= 62740.90939 [Confidence: 194228.80%; impurity: 0.44%]\n\n\n14060.33437: (data 0.00% / prediction 0.01%) 83814306.43 < Shape__Area <= 89807607.22375  and Cause > 12 [Confidence: 185980.69%; impurity: 0.47%]\n\n\n14165.375: (data 0.00% / prediction 0.01%) 80365387.07 < Shape__Area <= 89807607.22375  and Cause <= 12 and Local Incident Number > 7610.5 [Confidence: 181612.40%; impurity: 0.25%]\n\n\n14345.56: (data 0.00% / prediction 0.01%) 83814306.43 < Shape__Area <= 86190978.525  and Cause > 12 and 10 < Fire Number (historical use) <= 435.5  [Confidence: 104056.95%; impurity: 0.25%]\n\n\n14425.34: (data 0.00% / prediction 0.02%) 83814306.43 < Shape__Area <= 89807607.22375  and Cause > 12 and Fire Number (historical use) > 435.5 [Confidence: 128472.45%; impurity: 0.33%]\n\n\n14449.92722: (data 0.00% / prediction 0.19%) 89807607.22375 < Shape__Area <= 97279873.8975  [Confidence: 194392.58%; impurity: 0.48%]\n\n\n14632.40889: (data 0.00% / prediction 0.05%) 97279873.8975 < Shape__Area <= 107728171.29643  and Cause <= 10 and Shape__Length > 51225.82466 and Local Incident Number <= 1724.5 [Confidence: 179975.18%; impurity: 0.44%]\n\n\n14737.655: (data 0.00% / prediction 0.02%) 83814306.43 < Shape__Area <= 89807607.22375  and Cause > 12 and Fire Number (historical use) <= 10 [Confidence: 131886.57%; impurity: 0.38%]\n\n\n15051.654: (data 0.00% / prediction 0.03%) 97279873.8975 < Shape__Area <= 107728171.29643  and Cause > 10 and Shape__Length <= 75039.26663 and \ufeffYear > 1924 [Confidence: 80796.56%; impurity: 0.40%]\n\n\n15066.16118: (data 0.00% / prediction 0.02%) 97279873.8975 < Shape__Area <= 107728171.29643  and Cause <= 10 and Shape__Length > 51225.82466 [Confidence: 195535.02%; impurity: 0.47%]\n\n\n15088.265: (data 0.00% / prediction 0.01%) 103803162.05 < Shape__Area <= 107728171.29643  and Cause <= 10 and Shape__Length > 51225.82466 and Local Incident Number > 1724.5 [Confidence: 318571.03%; impurity: 0.25%]\n\n\n1543.95512: (data 0.00% / prediction 1.25%) 9267059.65521 < Shape__Area <= 10467936.75756  [Confidence: 14529.21%; impurity: 0.48%]\n\n\n158321.79: (data 0.00% / prediction 0.05%) 922805597.65 < Shape__Area <= 1233831336.5  [Confidence: 2855620.18%; impurity: 0.45%]\n\n\n16557.70333: (data 0.00% / prediction 0.02%) 97279873.8975 < Shape__Area <= 103803162.05  and Cause <= 10 and Shape__Length > 51225.82466 and Local Incident Number > 1724.5 [Confidence: 179780.01%; impurity: 0.33%]\n\n\n16748.14333: (data 0.00% / prediction 0.02%) 97279873.8975 < Shape__Area <= 107728171.29643  and Cause <= 10 and Shape__Length <= 51225.82466 [Confidence: 268551.84%; impurity: 0.33%]\n\n\n17011.265: (data 0.00% / prediction 0.01%) 97279873.8975 < Shape__Area <= 107728171.29643  and Cause > 10 and Shape__Length <= 75039.26663 and \ufeffYear <= 1924 [Confidence: 53492.88%; impurity: 0.25%]\n\n\n17430.078: (data 0.00% / prediction 0.03%) 97279873.8975 < Shape__Area <= 107728171.29643  and Cause > 10 and Shape__Length > 75039.26663 [Confidence: 119802.25%; impurity: 0.40%]\n\n\n17635.61842: (data 0.00% / prediction 0.20%) 107728171.29643 < Shape__Area <= 117825678.5  [Confidence: 191649.42%; impurity: 0.48%]\n\n\n1764.45159: (data 0.00% / prediction 1.26%) 10467936.75756 < Shape__Area <= 12099490.44833  [Confidence: 16679.69%; impurity: 0.48%]\n\n\n18250.00333: (data 0.00% / prediction 0.06%) 117825678.5 < Shape__Area <= 136561360.705  and Cause <= 8 and Decade != 1990-1999 [Confidence: 219963.46%; impurity: 0.46%]\n\n\n18804.22438: (data 0.00% / prediction 0.01%) 117825678.5 < Shape__Area <= 136561360.705  and Cause <= 8 [Confidence: 276427.74%; impurity: 0.47%]\n\n\n191.73952: (data 0.00% / prediction 6.94%) 978368.23832 < Shape__Area <= 1490147.13947  [Confidence: 2961.75%; impurity: 0.48%]\n\n\n1964.43984: (data 0.00% / prediction 0.71%) 12099490.44833 < Shape__Area <= 13177388.30188  [Confidence: 20624.73%; impurity: 0.48%]\n\n\n20431.20054: (data 0.00% / prediction 0.20%) 117825678.5 < Shape__Area <= 136561360.705  and Cause > 8 [Confidence: 226980.21%; impurity: 0.48%]\n\n\n20785.74333: (data 0.00% / prediction 0.02%) 117825678.5 < Shape__Area <= 136561360.705  and Cause <= 8 and Decade = 1990-1999 [Confidence: 381233.04%; impurity: 0.33%]\n\n\n2200.8403: (data 0.00% / prediction 0.79%) 13177388.30188 < Shape__Area <= 14839933.78924  [Confidence: 21072.85%; impurity: 0.48%]\n\n\n232639.9125: (data 0.00% / prediction 0.04%) 1233831336.5 < Shape__Area <= 1847607667.5  [Confidence: 6098914.58%; impurity: 0.44%]\n\n\n23596.83188: (data 0.00% / prediction 0.26%) 136561360.705 < Shape__Area <= 164410306.85833  [Confidence: 250478.91%; impurity: 0.48%]\n\n\n2435.37354: (data 0.00% / prediction 0.30%) 14839933.78924 < Shape__Area <= 15488483.79262  [Confidence: 22631.54%; impurity: 0.47%]\n\n\n2584.71654: (data 0.00% / prediction 0.70%) 15488483.79262 < Shape__Area <= 17224204.11077  [Confidence: 23375.29%; impurity: 0.48%]\n\n\n27458.87029: (data 0.00% / prediction 0.19%) 164410306.85833 < Shape__Area <= 194083975.45  [Confidence: 358592.89%; impurity: 0.48%]\n\n\n2838.5662: (data 0.00% / prediction 0.73%) 17224204.11077 < Shape__Area <= 19142021.30077  [Confidence: 26580.86%; impurity: 0.48%]\n\n\n285.03139: (data 0.00% / prediction 5.91%) 1490147.13947 < Shape__Area <= 2127697.5696  [Confidence: 3822.53%; impurity: 0.48%]\n\n\n30526.79154: (data 0.00% / prediction 0.07%) 198996070.00827 < Shape__Area <= 214989313.25  [Confidence: 414540.21%; impurity: 0.46%]\n\n\n313220.23333: (data 0.00% / prediction 0.02%) 1847607667.5 < Shape__Area <= 2326904351  [Confidence: 3562389.39%; impurity: 0.33%]\n\n\n3135.58709: (data 0.00% / prediction 0.47%) 19142021.30077 < Shape__Area <= 20969868.694  [Confidence: 33302.16%; impurity: 0.48%]\n\n\n32643.42: (data 0.00% / prediction 0.01%) 194083975.45 < Shape__Area <= 198996070.00827  [Confidence: 66351.19%; impurity: 0.25%]\n\n\n3477.60634: (data 0.00% / prediction 0.54%) 20969868.694 < Shape__Area <= 23301625.7875  [Confidence: 35529.36%; impurity: 0.48%]\n\n\n35824.83975: (data 0.00% / prediction 0.21%) 214989313.25 < Shape__Area <= 251232472.45  [Confidence: 437614.04%; impurity: 0.48%]\n\n\n379.22571: (data 0.00% / prediction 4.38%) 2127697.5696 < Shape__Area <= 2709758.74151  [Confidence: 4211.20%; impurity: 0.48%]\n\n\n3903.24223: (data 0.00% / prediction 0.71%) 23301625.7875 < Shape__Area <= 26652192.08017  [Confidence: 40408.76%; impurity: 0.48%]\n\n\n423510.84: (data 0.00% / prediction 0.03%) 2326904351 < Shape__Area <= 5200784178.5  [Confidence: 16495275.07%; impurity: 0.40%]\n\n\n42861.80038: (data 0.00% / prediction 0.14%) 251232472.45 < Shape__Area <= 298193149.4775  [Confidence: 654090.03%; impurity: 0.48%]\n\n\n4341.66989: (data 0.00% / prediction 0.47%) 26652192.08017 < Shape__Area <= 29166409.84107  [Confidence: 45262.33%; impurity: 0.48%]\n\n\n46208.24: (data 0.00% / prediction 0.03%) 298193149.4775 < Shape__Area <= 341669341.175  and Cause <= 2 [Confidence: 873048.91%; impurity: 0.40%]\n\n\n477.36595: (data 0.00% / prediction 4.29%) 2709758.74151 < Shape__Area <= 3450691.61517  [Confidence: 5411.09%; impurity: 0.48%]\n\n\n4785.88836: (data 0.00% / prediction 0.40%) 29166409.84107 < Shape__Area <= 31705527.4105  [Confidence: 51326.82%; impurity: 0.48%]\n\n\n51934.34: (data 0.00% / prediction 0.07%) 298193149.4775 < Shape__Area <= 341669341.175  and Cause > 2 [Confidence: 578736.14%; impurity: 0.46%]\n\n\n5383.30869: (data 0.00% / prediction 0.67%) 31705527.4105 < Shape__Area <= 37484067.76902  [Confidence: 58870.60%; impurity: 0.48%]\n\n\n55261.1275: (data 0.00% / prediction 0.02%) 341669341.175 < Shape__Area <= 442351128  and Local Incident Number > 7444.5 [Confidence: 463241.61%; impurity: 0.38%]\n\n\n58.79733: (data 0.00% / prediction 12.68%) 232769.43426 < Shape__Area <= 549209.45537  [Confidence: 1602.83%; impurity: 0.48%]\n\n\n593.90416: (data 0.00% / prediction 2.95%) 3450691.61517 < Shape__Area <= 4153742.84522  [Confidence: 5932.38%; impurity: 0.48%]\n\n\n59301.54226: (data 0.00% / prediction 0.01%) 341669341.175 < Shape__Area <= 442351128  [Confidence: 644618.90%; impurity: 0.48%]\n\n\n59930.44385: (data 0.00% / prediction 0.14%) 341669341.175 < Shape__Area <= 442351128  and Local Incident Number <= 7444.5 [Confidence: 668654.80%; impurity: 0.48%]\n\n\n6411.22108: (data 0.00% / prediction 0.67%) 37484067.76902 < Shape__Area <= 44421513.54111  [Confidence: 65747.94%; impurity: 0.48%]\n\n\n64745.9925: (data 0.00% / prediction 0.02%) 442351128 < Shape__Area <= 470162125.65  and Local Incident Number <= 4338.5 [Confidence: 348254.45%; impurity: 0.38%]\n\n\n67269.46: (data 0.00% / prediction 0.01%) 442351128 < Shape__Area <= 470162125.65  and Local Incident Number > 4338.5 and Decade = 2020-2025 [Confidence: 226455.82%; impurity: 0.25%]\n\n\n695.67187: (data 0.00% / prediction 2.11%) 4153742.84522 < Shape__Area <= 4795193.87646  [Confidence: 6500.87%; impurity: 0.48%]\n\n\n70142.345: (data 0.00% / prediction 0.01%) 442351128 < Shape__Area <= 470162125.65  and Local Incident Number > 4338.5 and Decade != 2020-2025 [Confidence: 741878.53%; impurity: 0.25%]\n\n\n7098.09404: (data 0.00% / prediction 0.13%) 44421513.54111 < Shape__Area <= 45823665.10948  [Confidence: 92164.13%; impurity: 0.48%]\n\n\n7583.82993: (data 0.00% / prediction 0.38%) 45823665.10948 < Shape__Area <= 51808952.673  [Confidence: 87072.43%; impurity: 0.48%]\n\n\n76792.536: (data 0.00% / prediction 0.03%) 470162125.65 < Shape__Area <= 502793669.25  [Confidence: 1795946.98%; impurity: 0.40%]\n\n\n80542.02286: (data 0.00% / prediction 0.04%) 502793669.25 < Shape__Area <= 529333877.45  [Confidence: 1580748.08%; impurity: 0.43%]\n\n\n807.33448: (data 0.00% / prediction 1.84%) 4795193.87646 < Shape__Area <= 5572788.81062  [Confidence: 7853.31%; impurity: 0.48%]\n\n\n8614.96503: (data 0.00% / prediction 0.40%) 51808952.673 < Shape__Area <= 58859475.57598  [Confidence: 91819.72%; impurity: 0.48%]\n\n\n8740.34017: (data 0.00% / prediction 0.06%) 58859475.57598 < Shape__Area <= 61622333.20357  and Cause <= 1 [Confidence: 158641.30%; impurity: 0.46%]\n\n\n9031.763: (data 0.00% / prediction 0.03%) 58859475.57598 < Shape__Area <= 61622333.20357  and Cause > 1 and Fire Number (historical use) > 172.5 and Local Incident Number <= 43902.5 [Confidence: 145768.64%; impurity: 0.40%]\n\n\n90482.64706: (data 0.00% / prediction 0.09%) 529333877.45 < Shape__Area <= 685997303.1  [Confidence: 1135365.15%; impurity: 0.47%]\n\n\n955.25716: (data 0.00% / prediction 2.26%) 5572788.81062 < Shape__Area <= 6701540.08632  [Confidence: 9314.64%; impurity: 0.48%]\n\n\n9682.70739: (data 0.00% / prediction 0.02%) 58859475.57598 < Shape__Area <= 61622333.20357  and Cause > 1 [Confidence: 118299.48%; impurity: 0.48%]\n\n\n998052.7: (data 0.00% / prediction 0.01%) Shape__Area > 5200784178.5 [Confidence: 36501896.47%; impurity: 0.25%]\n</code></pre>"}