{"code": 200, "formatter": "summarize", "rules": "<pre><code class=\"summarize\">Data distribution:\n    100000000: 0.48% (7 instances)\n    10017952.75591: 8.70% (127 instances)\n    110000000: 0.07% (1 instance)\n    120000000: 0.07% (1 instance)\n    12280724.63768: 4.73% (69 instances)\n    130000000: 0.07% (1 instance)\n    14695679.01235: 5.55% (81 instances)\n    150000000: 0.14% (2 instances)\n    16854000: 1.71% (25 instances)\n    196000000: 0.07% (1 instance)\n    19740833.33333: 2.47% (36 instances)\n    21906250: 1.10% (16 instances)\n    25193939.39394: 2.26% (33 instances)\n    27580000: 0.34% (5 instances)\n    300000000: 0.14% (2 instances)\n    30005000: 1.37% (20 instances)\n    33314285.71429: 0.48% (7 instances)\n    35781818.18182: 0.75% (11 instances)\n    40300000: 1.03% (15 instances)\n    4270626.66667: 25.68% (375 instances)\n    45000000: 0.34% (5 instances)\n    50125000: 0.55% (8 instances)\n    54000000: 0.21% (3 instances)\n    57000000: 0.07% (1 instance)\n    59916666.66667: 0.41% (6 instances)\n    65000000: 0.07% (1 instance)\n    70000000: 0.07% (1 instance)\n    7557885.71429: 11.99% (175 instances)\n    75666666.66667: 0.21% (3 instances)\n    80000000: 0.07% (1 instance)\n    90000000: 0.07% (1 instance)\n    909849.40476: 28.77% (420 instances)\n\n\nPredicted distribution:\n    10000000: 0.21% (3 instances)\n    10100000: 0.34% (5 instances)\n    1013333.33333: 0.21% (3 instances)\n    10164285.71429: 0.96% (14 instances)\n    10214285.71429: 0.48% (7 instances)\n    10526529.68037: 10.00% (146 instances)\n    106000000: 0.34% (5 instances)\n    10625000: 0.27% (4 instances)\n    10650000: 0.68% (10 instances)\n    10875000: 0.14% (2 instances)\n    10880000: 0.34% (5 instances)\n    10966666.66667: 0.41% (6 instances)\n    11733333.33333: 0.21% (3 instances)\n    12422189.18919: 0.41% (6 instances)\n    12440000: 0.34% (5 instances)\n    12458333.33333: 0.41% (6 instances)\n    12600000: 0.07% (1 instance)\n    1261711.11111: 3.08% (45 instances)\n    12766666.66667: 0.21% (3 instances)\n    1300000: 0.34% (5 instances)\n    13566666.66667: 0.62% (9 instances)\n    13772727.27273: 0.75% (11 instances)\n    14121428.57143: 0.96% (14 instances)\n    14283333.33333: 0.21% (3 instances)\n    1448636.36364: 1.51% (22 instances)\n    14666666.66667: 0.21% (3 instances)\n    14954545.45455: 0.75% (11 instances)\n    15000000: 0.07% (1 instance)\n    15250000: 0.14% (2 instances)\n    1558333.33333: 0.41% (6 instances)\n    16100000: 0.14% (2 instances)\n    196000000: 0.07% (1 instance)\n    19750000: 0.14% (2 instances)\n    2000000: 0.48% (7 instances)\n    20500000: 0.07% (1 instance)\n    21000000: 0.07% (1 instance)\n    22042127.65957: 6.44% (94 instances)\n    22250000: 0.27% (4 instances)\n    2242045.45455: 1.51% (22 instances)\n    22500000: 0.89% (13 instances)\n    22650000: 0.82% (12 instances)\n    22833333.33333: 0.41% (6 instances)\n    23000000: 0.07% (1 instance)\n    2362500: 0.55% (8 instances)\n    23950000: 0.14% (2 instances)\n    24000000: 0.07% (1 instance)\n    2433333.33333: 0.21% (3 instances)\n    24980000: 0.34% (5 instances)\n    25000000: 0.07% (1 instance)\n    25666666.66667: 0.21% (3 instances)\n    25750000: 0.27% (4 instances)\n    26250000: 0.14% (2 instances)\n    2672727.27273: 0.75% (11 instances)\n    27017391.30435: 0.14% (2 instances)\n    2750000: 0.14% (2 instances)\n    27666666.66667: 0.21% (3 instances)\n    2978571.42857: 0.48% (7 instances)\n    30000000: 0.14% (2 instances)\n    30229411.76471: 0.75% (11 instances)\n    31675000: 0.27% (4 instances)\n    32287500: 0.55% (8 instances)\n    32333333.33333: 0.21% (3 instances)\n    3300000: 0.07% (1 instance)\n    33300000: 0.14% (2 instances)\n    33600000: 0.14% (2 instances)\n    34333333.33333: 0.21% (3 instances)\n    3500000: 0.27% (4 instances)\n    3556157.02479: 0.07% (1 instance)\n    35750000: 0.14% (2 instances)\n    36000000: 0.07% (1 instance)\n    39000000: 0.21% (3 instances)\n    4000000: 0.07% (1 instance)\n    408324.25743: 6.92% (101 instances)\n    4122857.14286: 0.48% (7 instances)\n    4304166.66667: 0.82% (12 instances)\n    4400000: 0.14% (2 instances)\n    4500000: 0.07% (1 instance)\n    4850000: 0.82% (12 instances)\n    4954000: 0.34% (5 instances)\n    5014285.71429: 0.48% (7 instances)\n    5600000: 0.34% (5 instances)\n    5625000: 0.27% (4 instances)\n    56375000: 0.41% (6 instances)\n    5650000: 0.27% (4 instances)\n    5750000: 0.62% (9 instances)\n    59000000: 0.14% (2 instances)\n    5927200.61384: 35.14% (513 instances)\n    600000: 0.07% (1 instance)\n    60000000: 0.07% (1 instance)\n    61500000: 0.14% (2 instances)\n    6325000: 0.27% (4 instances)\n    6476923.07692: 0.89% (13 instances)\n    6900000: 0.34% (5 instances)\n    7061111.11111: 0.62% (9 instances)\n    7212500: 0.27% (4 instances)\n    7216666.66667: 0.41% (6 instances)\n    72500000: 0.14% (2 instances)\n    76000000: 0.34% (5 instances)\n    7728571.42857: 0.48% (7 instances)\n    7912000: 0.68% (10 instances)\n    8081818.18182: 0.75% (11 instances)\n    8118181.81818: 0.75% (11 instances)\n    8666666.66667: 0.21% (3 instances)\n    8833333.33333: 0.41% (6 instances)\n    888333.33333: 0.41% (6 instances)\n    891250: 0.27% (4 instances)\n    8916666.66667: 0.41% (6 instances)\n    8990909.09091: 0.75% (11 instances)\n    9019444.44444: 0.62% (9 instances)\n\n\nField importance:\n    1. numEmps: 46.64%\n    2. round: 18.26%\n    3. state: 16.19%\n    4. fundedDate.year: 11.06%\n    5. fundedDate.day-of-week: 4.14%\n    6. category: 2.65%\n    7. fundedDate.month: 0.74%\n    8. fundedDate.day-of-month: 0.32%\n\n\nRules summary:\n\n\n10000000: (data 0.00% / prediction 0.21%) round = a and state != MD and numEmps <= 28 and category != cleantech\n    \u00b7 33.33%: round = a and state != MD and numEmps <= 3 and category != cleantech and fundedDate.day-of-week <= 1 [Error: 4650643.0989]\n\n    \u00b7 33.33%: round = a and state != MD and 9 < numEmps <= 15  and category != cleantech and fundedDate.month > 1 and fundedDate.day-of-week > 6 [Error: 5188923.88586]\n\n    \u00b7 33.33%: round = a and state = NY and 15 < numEmps <= 28  and category != cleantech and fundedDate.month > 6 [Error: 5484905.61653]\n\n\n10100000: (data 0.00% / prediction 0.34%) round = b and state != MD or UT or MA or FL and category != hardware or cleantech and 1 < fundedDate.month <= 7  and 30 < numEmps <= 82  and fundedDate.year <= 2007 and fundedDate.day-of-week <= 4 [Confidence: 758217765.53%; impurity: 0.40%]\n\n\n1013333.33333: (data 0.00% / prediction 0.21%) round = a and state != MD or NY and 15 < numEmps <= 28  and category != cleantech and fundedDate.month > 6 and fundedDate.year <= 2005 [Confidence: 272048416.05%; impurity: 0.33%]\n\n\n10164285.71429: (data 0.00% / prediction 0.96%) round = b and state != MD or UT or MA or FL and category != hardware or cleantech and fundedDate.month <= 1 and numEmps <= 82 [Confidence: 1377441740.65%; impurity: 0.46%]\n\n\n10214285.71429: (data 0.00% / prediction 0.48%) round = b and state != MD or UT or FL or MA and category != hardware or cleantech and 7 < fundedDate.month <= 11  and fundedDate.day-of-week <= 5 and fundedDate.day-of-month > 3 [Confidence: 566216113.61%; impurity: 0.37%]\n\n\n10526529.68037: (data 0.00% / prediction 10.00%) round = b and state != MD or UT or MA and category != hardware or cleantech and fundedDate.month <= 7 [Confidence: 889897608.97%; impurity: 0.47%]\n\n\n106000000: (data 0.00% / prediction 0.34%) round != c or d or b and state != MD and numEmps > 122 and fundedDate.year > 2006 and fundedDate.day-of-week <= 4 [Confidence: 15001292987.63%; impurity: 0.36%]\n\n\n10625000: (data 0.00% / prediction 0.27%) round = a and state != MD and 82 < numEmps <= 122  and fundedDate.day-of-week <= 6 and category != web [Confidence: 802945629.56%; impurity: 0.31%]\n\n\n10650000: (data 0.00% / prediction 0.68%) round = b and state = CA and category != hardware or cleantech and 9 < fundedDate.month <= 10  and fundedDate.day-of-week <= 4 and fundedDate.day-of-month <= 3 and fundedDate.year > 2002 [Confidence: 1996388080.76%; impurity: 0.45%]\n\n\n10875000: (data 0.00% / prediction 0.14%) round = a and state != MD or OR and 28 < numEmps <= 37  and category = web and fundedDate.month > 10 [Confidence: 4082420529.82%; impurity: 0.25%]\n\n\n10880000: (data 0.00% / prediction 0.34%) round = d and state != CT or CA and category != hardware or software and fundedDate.year > 2001 and 2 < fundedDate.day-of-week <= 5  and fundedDate.month > 2 [Confidence: 2234344418.03%; impurity: 0.40%]\n\n\n10966666.66667: (data 0.00% / prediction 0.41%) round = b and state != MD or UT or MA or FL and category != hardware or cleantech and 1 < fundedDate.month <= 7  and 30 < numEmps <= 82  and fundedDate.year > 2007 [Confidence: 1033422907.83%; impurity: 0.39%]\n\n\n11733333.33333: (data 0.00% / prediction 0.21%) round = b and state != MD or UT or FL or OR or CT and category != hardware or cleantech and fundedDate.month > 7 and 5 < fundedDate.day-of-week <= 6  and fundedDate.day-of-month <= 8 and fundedDate.year > 2006 and numEmps > 36 [Confidence: 1731956864.41%; impurity: 0.33%]\n\n\n12422189.18919: (data 0.00% / prediction 0.41%) round = b and state != MD [Confidence: 1572062233.20%; impurity: 0.46%]\n\n\n12440000: (data 0.00% / prediction 0.34%) round = c and numEmps <= 19 and state != MA or NY and fundedDate.day-of-week <= 6 and fundedDate.day-of-month <= 25 [Confidence: 751538737.90%; impurity: 0.40%]\n\n\n12458333.33333: (data 0.00% / prediction 0.41%) round = b and state != MD or UT or FL or OR and category != hardware or cleantech and fundedDate.month > 7 and fundedDate.day-of-week > 6 [Confidence: 4352056729.57%; impurity: 0.42%]\n\n\n12600000: (data 0.00% / prediction 0.07%) round != c or d or b or unattributed or angel or seed or a and state != MD or OR and 28 < numEmps <= 82  and category = web [Confidence: 486172077.56%]\n\n\n1261711.11111: (data 0.00% / prediction 3.08%) round != c or d or b or a and state != MD or TX and 9 < numEmps <= 28  [Confidence: 189667425.28%; impurity: 0.46%]\n\n\n12766666.66667: (data 0.00% / prediction 0.21%) round = b and state = MA and category != hardware or cleantech and 7 < fundedDate.month <= 11  and fundedDate.day-of-week <= 5 and fundedDate.day-of-month > 3 [Confidence: 205397918.55%; impurity: 0.22%]\n\n\n1300000: (data 0.00% / prediction 0.34%) round != c or d or b and state != MD or WA and 122 < numEmps <= 470  and fundedDate.year <= 2003 [Confidence: 313652058.31%; impurity: 0.40%]\n\n\n13566666.66667: (data 0.00% / prediction 0.62%) round = c and 51 < numEmps <= 125  and state != MA or NY and fundedDate.day-of-week <= 6 and fundedDate.day-of-month <= 28 [Confidence: 1076339394.99%; impurity: 0.42%]\n\n\n13772727.27273: (data 0.00% / prediction 0.75%) round = b and state = CA and category != hardware or cleantech and fundedDate.month > 10 and fundedDate.day-of-week <= 5 and fundedDate.day-of-month <= 3 and 2004 < fundedDate.year <= 2006  [Confidence: 2519251825.93%; impurity: 0.45%]\n\n\n14121428.57143: (data 0.00% / prediction 0.96%) round = b and state = MA and category != hardware or cleantech and fundedDate.month <= 7 and fundedDate.year > 2005 [Confidence: 1378456642.71%; impurity: 0.46%]\n\n\n14283333.33333: (data 0.00% / prediction 0.21%) round = a and state != MD and 3 < numEmps <= 4  and category != cleantech [Confidence: 11322664222.82%; impurity: 0.33%]\n\n\n1448636.36364: (data 0.00% / prediction 1.51%) round = a and state != MD and 4 < numEmps <= 9  and category != cleantech and fundedDate.month <= 10 and fundedDate.day-of-month <= 23 [Confidence: 148572127.18%; impurity: 0.45%]\n\n\n14666666.66667: (data 0.00% / prediction 0.21%) round != c or d or b or a and state != MD and 82 < numEmps <= 122  and fundedDate.day-of-week <= 6 [Confidence: 293425597.93%; impurity: 0.22%]\n\n\n14954545.45455: (data 0.00% / prediction 0.75%) round = b and state != MD or UT or MA and category != hardware or cleantech and fundedDate.month <= 7 and numEmps > 82 and fundedDate.day-of-week <= 5 [Confidence: 1631748740.81%; impurity: 0.43%]\n\n\n15000000: (data 0.00% / prediction 0.07%) round != c or d or b or unattributed and state = OR and 28 < numEmps <= 82  and category != hardware [Confidence: 528054929.73%]\n\n\n15250000: (data 0.00% / prediction 0.14%) round != c or d or b or unattributed and state != MD and 28 < numEmps <= 82  and category = hardware [Confidence: 6057785302.31%; impurity: 0.25%]\n\n\n1558333.33333: (data 0.00% / prediction 0.41%) round = a and state != MD and numEmps <= 3 and category != cleantech and 1 < fundedDate.day-of-week <= 3  [Confidence: 416453276.68%; impurity: 0.39%]\n\n\n16100000: (data 0.00% / prediction 0.14%) round = b and state = MA and category != hardware or cleantech and fundedDate.month > 9 and fundedDate.day-of-week <= 2 and fundedDate.day-of-month <= 3 [Confidence: 105352787.87%; impurity: 0.25%]\n\n\n196000000: (data 0.07% / prediction 0.07%) round = d and state = CT [Confidence: 4923120183.99%]\n\n\n19750000: (data 0.00% / prediction 0.14%) round = b and state != MD or UT or FL or TX or CA and category != hardware or cleantech and 7 < fundedDate.month <= 9  and fundedDate.day-of-week <= 2 and fundedDate.day-of-month <= 3 [Confidence: 263381969.67%; impurity: 0.25%]\n\n\n2000000: (data 0.00% / prediction 0.48%) \n    \u00b7 85.71%: round = a and state != MD or NY and 15 < numEmps <= 28  and category != cleantech and fundedDate.month > 6 and fundedDate.year > 2005 and fundedDate.day-of-week > 5 [Error: 2633568.2853]\n\n    \u00b7 14.29%: round = c and numEmps <= 51 and state != MA or NY and fundedDate.day-of-week <= 6 and 25 < fundedDate.day-of-month <= 28  [Error: 8677045.0016]\n\n\n20500000: (data 0.00% / prediction 0.07%) round = unattributed and state != MD and 28 < numEmps <= 82  [Confidence: 630735747.24%]\n\n\n21000000: (data 0.00% / prediction 0.07%) round = a and state != MD and numEmps <= 28 and category = cleantech [Confidence: 588633556.13%]\n\n\n22042127.65957: (data 0.00% / prediction 6.44%) round = c [Confidence: 3732798063.35%; impurity: 0.47%]\n\n\n22250000: (data 0.00% / prediction 0.27%) round = c and numEmps <= 125 and state != MA and fundedDate.day-of-week > 6 [Confidence: 6596218189.06%; impurity: 0.38%]\n\n\n2242045.45455: (data 0.00% / prediction 1.51%) round = a and state != MD and 15 < numEmps <= 28  and category != cleantech and fundedDate.month <= 6 [Confidence: 247904875.54%; impurity: 0.46%]\n\n\n22500000: (data 0.00% / prediction 0.89%) round != c or d and state != MD\n    \u00b7 53.85%: round = b and state = CA and category != hardware or cleantech and 7 < fundedDate.month <= 10  and 4 < fundedDate.day-of-week <= 5  and fundedDate.day-of-month <= 3 [Error: 99289582.52036]\n\n    \u00b7 30.77%: round != c or d or b and state != MD or WA and numEmps > 470 and fundedDate.year <= 2006 [Error: 35230319.81807]\n\n    \u00b7 15.38%: round != c or d or b and state != MD and 82 < numEmps <= 122  and fundedDate.day-of-week > 6 [Error: 26338196.96656]\n\n\n22650000: (data 0.00% / prediction 0.82%) round = b and state != MD and category = hardware [Confidence: 7770472604.24%; impurity: 0.45%]\n\n\n22833333.33333: (data 0.00% / prediction 0.41%) round = d and state != CT and category != hardware or software and fundedDate.year > 2001 and fundedDate.day-of-week > 2 and fundedDate.month <= 2 [Confidence: 6848483281.90%; impurity: 0.42%]\n\n\n23000000: (data 0.00% / prediction 0.07%) round = b and state = FL and category != hardware or cleantech and fundedDate.month <= 7 and numEmps <= 82 [Confidence: 738771060.75%]\n\n\n2362500: (data 0.00% / prediction 0.55%) round = a and state != MD or CA and 9 < numEmps <= 15  and category != cleantech and fundedDate.month > 1 and fundedDate.day-of-week <= 6 [Confidence: 547500750.18%; impurity: 0.41%]\n\n\n23950000: (data 0.00% / prediction 0.14%) round = c and numEmps <= 125 and state = NY and fundedDate.day-of-week <= 6 [Confidence: 3213260029.92%; impurity: 0.25%]\n\n\n24000000: (data 0.00% / prediction 0.07%) round = b and state = OR and category != hardware or cleantech and fundedDate.month > 7 and fundedDate.day-of-week > 5 [Confidence: 1231241973.46%]\n\n\n2433333.33333: (data 0.00% / prediction 0.21%) round = a and state != MD and numEmps <= 3 and category != cleantech and fundedDate.day-of-week > 3 and fundedDate.year <= 2006 [Confidence: 205397918.55%; impurity: 0.33%]\n\n\n24980000: (data 0.00% / prediction 0.34%) round = d and state != CT and category != hardware and fundedDate.year > 2001 and fundedDate.day-of-week <= 2 and numEmps > 46 [Confidence: 5111927188.32%; impurity: 0.36%]\n\n\n25000000: (data 0.00% / prediction 0.07%) round = c and numEmps <= 125 and state != MA or NY and fundedDate.day-of-week <= 6 and fundedDate.day-of-month > 28 [Confidence: 955238663.46%]\n\n\n25666666.66667: (data 0.00% / prediction 0.21%) round = b and state = MA and category != hardware or cleantech and fundedDate.month <= 7 and fundedDate.year <= 2005 [Confidence: 2608023761.42%; impurity: 0.33%]\n\n\n25750000: (data 0.00% / prediction 0.27%) round = b and state != MD or UT and category = cleantech [Confidence: 8638415670.06%; impurity: 0.38%]\n\n\n26250000: (data 0.00% / prediction 0.14%) round = b and state != MD or UT or MA and category != hardware or cleantech and fundedDate.month <= 7 and numEmps > 82 and fundedDate.day-of-week > 5 [Confidence: 1316909848.33%; impurity: 0.25%]\n\n\n2672727.27273: (data 0.00% / prediction 0.75%) round = a and state != MD or OR or MA and 37 < numEmps <= 82  and category = web and fundedDate.year <= 2006 and fundedDate.day-of-week <= 5 [Confidence: 314369932.81%; impurity: 0.44%]\n\n\n27017391.30435: (data 0.00% / prediction 0.14%) round = d and state != CT [Confidence: 3197781160.86%; impurity: 0.47%]\n\n\n2750000: (data 0.00% / prediction 0.14%) round = a and state != MD or OR and 28 < numEmps <= 37  and category = web and fundedDate.month <= 10 and fundedDate.day-of-week <= 1 [Confidence: 790145909.00%; impurity: 0.25%]\n\n\n27666666.66667: (data 0.00% / prediction 0.21%) round = d and state != CT or CA and category != hardware or software and fundedDate.year > 2001 and fundedDate.day-of-week > 5 and fundedDate.month > 2 [Confidence: 1924120319.89%; impurity: 0.33%]\n\n\n2978571.42857: (data 0.00% / prediction 0.48%) round = a and state = CA and 14 < numEmps <= 15  and category != cleantech and fundedDate.month > 1 and fundedDate.day-of-week <= 6 [Confidence: 811092234.49%; impurity: 0.43%]\n\n\n30000000: (data 0.00% / prediction 0.14%) round != c or d or b and state != MD and numEmps > 122 and fundedDate.year > 2006 and fundedDate.day-of-week > 4 [Confidence: 10535278786.63%; impurity: 0.25%]\n\n\n30229411.76471: (data 0.00% / prediction 0.75%) round = d and state != CT and category != hardware and fundedDate.year > 2001 and fundedDate.day-of-week <= 2 [Confidence: 2801036682.60%; impurity: 0.45%]\n\n\n31675000: (data 0.00% / prediction 0.27%) round = b and state = CA and category != hardware or cleantech and fundedDate.month > 10 and fundedDate.day-of-week <= 5 and fundedDate.day-of-month <= 3 and fundedDate.year > 2006 [Confidence: 18562166472.13%; impurity: 0.31%]\n\n\n32287500: (data 0.00% / prediction 0.55%) round = c and 125 < numEmps <= 375  [Confidence: 6104330188.19%; impurity: 0.39%]\n\n\n32333333.33333: (data 0.00% / prediction 0.21%) round = b and state = TX and category != hardware or cleantech and fundedDate.month > 7 and fundedDate.day-of-week <= 5 and fundedDate.day-of-month <= 3 [Confidence: 19685774443.13%; impurity: 0.33%]\n\n\n3300000: (data 0.00% / prediction 0.07%) round = b and state = CT and category != hardware or cleantech and fundedDate.month > 7 and 5 < fundedDate.day-of-week <= 6  and fundedDate.day-of-month <= 8 [Confidence: 638263017.48%]\n\n\n33300000: (data 0.00% / prediction 0.14%) round = b and state = FL and category != hardware or cleantech and fundedDate.month > 7 [Confidence: 17593915573.66%; impurity: 0.25%]\n\n\n33600000: (data 0.00% / prediction 0.14%) round = b and state = UT and category != hardware [Confidence: 421411151.47%; impurity: 0.25%]\n\n\n34333333.33333: (data 0.00% / prediction 0.21%) round = d and state != CT and category = software and fundedDate.year > 2001 and fundedDate.day-of-week > 2 [Confidence: 1552662320.85%; impurity: 0.33%]\n\n\n3500000: (data 0.00% / prediction 0.27%) round = a and state != MD and 4 < numEmps <= 9  and category != cleantech and fundedDate.month > 10 [Confidence: 525182599.88%; impurity: 0.38%]\n\n\n3556157.02479: (data 0.00% / prediction 0.07%) round = a and state != MD and numEmps <= 28 [Confidence: 588633556.13%; impurity: 0.47%]\n\n\n35750000: (data 0.00% / prediction 0.14%) round = c and numEmps <= 125 and state = MA [Confidence: 9745132877.63%; impurity: 0.25%]\n\n\n36000000: (data 0.00% / prediction 0.07%) round = b and state = CA and category != hardware or cleantech and 7 < fundedDate.month <= 10  and fundedDate.day-of-week <= 4 and fundedDate.day-of-month <= 3 and fundedDate.year <= 2002 [Confidence: 1846250274.45%]\n\n\n39000000: (data 0.00% / prediction 0.21%) round != c or d or b and state = WA and numEmps > 122 and fundedDate.year <= 2006 [Confidence: 3332674153.92%; impurity: 0.33%]\n\n\n4000000: (data 0.00% / prediction 0.07%) round = unattributed and state != MD and numEmps <= 9 [Confidence: 81759719.01%]\n\n\n408324.25743: (data 0.00% / prediction 6.92%) round != c or d or b or a or unattributed and state != MD and numEmps <= 9 [Confidence: 66752732.27%; impurity: 0.47%]\n\n\n4122857.14286: (data 0.00% / prediction 0.48%) round = a and state != MD and numEmps <= 3 and category != cleantech and fundedDate.day-of-week > 3 and fundedDate.year > 2006 [Confidence: 313344713.23%; impurity: 0.43%]\n\n\n4304166.66667: (data 0.00% / prediction 0.82%) round = b and state != MD or UT or MA or FL and category != hardware or cleantech and 3 < fundedDate.month <= 7  and numEmps <= 30 and fundedDate.day-of-month <= 10 [Confidence: 584865953.90%; impurity: 0.40%]\n\n\n4400000: (data 0.00% / prediction 0.14%) round = a and state != MD and 4 < numEmps <= 9  and category != cleantech and fundedDate.month <= 10 and fundedDate.day-of-month > 23 [Confidence: 105352787.87%; impurity: 0.25%]\n\n\n4500000: (data 0.00% / prediction 0.07%) round != c or d or b or a and state = TX and 9 < numEmps <= 28  [Confidence: 200689595.01%]\n\n\n4850000: (data 0.00% / prediction 0.82%) round = a and state = CA and 9 < numEmps <= 14  and category != cleantech and fundedDate.month > 1 and fundedDate.day-of-week <= 6 [Confidence: 664870702.46%; impurity: 0.44%]\n\n\n4954000: (data 0.00% / prediction 0.34%) round = a and state != MD and 82 < numEmps <= 122  and fundedDate.day-of-week <= 6 and category = web [Confidence: 1161496599.82%; impurity: 0.36%]\n\n\n5014285.71429: (data 0.00% / prediction 0.48%) round = a and state != MD or NY and 15 < numEmps <= 28  and category != cleantech and fundedDate.month > 6 and fundedDate.year > 2005 and fundedDate.day-of-week <= 5 [Confidence: 596520578.22%; impurity: 0.39%]\n\n\n5600000: (data 0.00% / prediction 0.34%) round = a and state = MA and 37 < numEmps <= 82  and category = web and fundedDate.year <= 2006 [Confidence: 853586083.15%; impurity: 0.36%]\n\n\n5625000: (data 0.00% / prediction 0.27%) round = b and state != MD or UT or MA or FL and category != hardware or cleantech and 1 < fundedDate.month <= 7  and 30 < numEmps <= 82  and fundedDate.year <= 2007 and fundedDate.day-of-week > 4 [Confidence: 815725408.00%; impurity: 0.38%]\n\n\n56375000: (data 0.00% / prediction 0.41%) round != c or d and state = MD [Confidence: 37590977041.84%; impurity: 0.42%]\n\n\n5650000: (data 0.00% / prediction 0.27%) round = a and state != MD or OR or MA and 37 < numEmps <= 82  and category = web and fundedDate.year <= 2006 and fundedDate.day-of-week > 5 [Confidence: 921392423.01%; impurity: 0.38%]\n\n\n5750000: (data 0.00% / prediction 0.62%) round = a and state != MD or OR and 37 < numEmps <= 82  and category = web and fundedDate.year > 2006 [Confidence: 861363617.90%; impurity: 0.43%]\n\n\n59000000: (data 0.00% / prediction 0.14%) round = d and state != CT and category != hardware and fundedDate.year <= 2001 [Confidence: 32659364238.54%; impurity: 0.25%]\n\n\n5927200.61384: (data 0.00% / prediction 35.14%) round != c or d or b and state != MD [Confidence: 1360594852.17%; impurity: 0.42%]\n\n\n600000: (data 0.00% / prediction 0.07%) round = b and state != MD or UT or FL or OR and category != hardware or cleantech and fundedDate.month > 7 and 5 < fundedDate.day-of-week <= 6  and fundedDate.day-of-month > 8 [Confidence: 678872652.40%]\n\n\n60000000: (data 0.00% / prediction 0.07%) round = d and state != CT and category != hardware and fundedDate.year > 2001 and fundedDate.day-of-week <= 2 and numEmps <= 46 [Confidence: 2801036682.60%]\n\n\n61500000: (data 0.00% / prediction 0.14%) round = b and state = CA and category != hardware or cleantech and fundedDate.month > 10 and fundedDate.day-of-week <= 5 and fundedDate.day-of-month <= 3 and fundedDate.year <= 2004 [Confidence: 51096102115.14%; impurity: 0.25%]\n\n\n6325000: (data 0.00% / prediction 0.27%) round = b and state != MD or UT or FL or OR or CT and category != hardware or cleantech and fundedDate.month > 7 and 5 < fundedDate.day-of-week <= 6  and fundedDate.day-of-month <= 8 and fundedDate.year <= 2006 [Confidence: 578535774.32%; impurity: 0.38%]\n\n\n6476923.07692: (data 0.00% / prediction 0.89%) round = a and state != MD or OR and 28 < numEmps <= 37  and category = web and fundedDate.month <= 10 and fundedDate.day-of-week > 1 [Confidence: 487180106.49%; impurity: 0.46%]\n\n\n6900000: (data 0.00% / prediction 0.34%) round = b and state != MD or UT or FL and category != hardware or cleantech and fundedDate.month > 11 and fundedDate.day-of-week <= 5 and fundedDate.day-of-month > 3 [Confidence: 637030341.85%; impurity: 0.36%]\n\n\n7061111.11111: (data 0.00% / prediction 0.62%) round != c or d or b and state != MD or WA and 122 < numEmps <= 470  and 2003 < fundedDate.year <= 2006  [Confidence: 927667776.04%; impurity: 0.43%]\n\n\n7212500: (data 0.00% / prediction 0.27%) round = a and state != MD and 9 < numEmps <= 15  and category != cleantech and fundedDate.month <= 1 [Confidence: 1243737849.96%; impurity: 0.31%]\n\n\n7216666.66667: (data 0.00% / prediction 0.41%) round = b and state = CA and category != hardware or cleantech and 7 < fundedDate.month <= 9  and fundedDate.day-of-week <= 4 and fundedDate.day-of-month <= 3 and fundedDate.year > 2002 [Confidence: 969050207.17%; impurity: 0.42%]\n\n\n72500000: (data 0.00% / prediction 0.14%) round = d and state != CT and category = hardware [Confidence: 28972016663.22%; impurity: 0.25%]\n\n\n76000000: (data 0.00% / prediction 0.34%) round = c and numEmps > 375 [Confidence: 44103399875.14%; impurity: 0.36%]\n\n\n7728571.42857: (data 0.00% / prediction 0.48%) round = b and state != MD or UT or MA or FL and category != hardware or cleantech and 1 < fundedDate.month <= 3  and numEmps <= 30 and fundedDate.day-of-month <= 10 [Confidence: 884683660.67%; impurity: 0.43%]\n\n\n7912000: (data 0.00% / prediction 0.68%) round = c and 19 < numEmps <= 51  and state != MA or NY and fundedDate.day-of-week <= 6 and fundedDate.day-of-month <= 25 [Confidence: 936308863.46%; impurity: 0.44%]\n\n\n8081818.18182: (data 0.00% / prediction 0.75%) round = b and state != MD or UT or FL or TX or CA and category != hardware or cleantech and fundedDate.month > 7 and 2 < fundedDate.day-of-week <= 5  and fundedDate.day-of-month <= 3 [Confidence: 734391818.26%; impurity: 0.42%]\n\n\n8118181.81818: (data 0.00% / prediction 0.75%) round != c or d or b or unattributed or angel and state != MD or OR and 28 < numEmps <= 82  and category != hardware or web [Confidence: 693870837.94%; impurity: 0.42%]\n\n\n8666666.66667: (data 0.00% / prediction 0.21%) round = b and state != MD or UT or FL or TX or CA or MA and category != hardware or cleantech and fundedDate.month > 9 and fundedDate.day-of-week <= 2 and fundedDate.day-of-month <= 3 [Confidence: 586851195.86%; impurity: 0.22%]\n\n\n8833333.33333: (data 0.00% / prediction 0.41%) round = b and state != MD or UT or FL or OR or CT and category != hardware or cleantech and fundedDate.month > 7 and 5 < fundedDate.day-of-week <= 6  and fundedDate.day-of-month <= 8 and fundedDate.year > 2006 and numEmps <= 36 [Confidence: 577558025.63%; impurity: 0.25%]\n\n\n888333.33333: (data 0.00% / prediction 0.41%) round = seed and state != MD or OR and 28 < numEmps <= 82  and category = web [Confidence: 185265670.61%; impurity: 0.39%]\n\n\n891250: (data 0.00% / prediction 0.27%) round = angel and state != MD or OR and 28 < numEmps <= 82  and category != hardware [Confidence: 330858264.67%; impurity: 0.38%]\n\n\n8916666.66667: (data 0.00% / prediction 0.41%) round = d and state = CA and category != hardware or software and fundedDate.year > 2001 and fundedDate.day-of-week > 2 and fundedDate.month > 2 [Confidence: 1578311044.72%; impurity: 0.39%]\n\n\n8990909.09091: (data 0.00% / prediction 0.75%) round = b and state != MD or UT or MA or FL and category != hardware or cleantech and 1 < fundedDate.month <= 7  and numEmps <= 30 and fundedDate.day-of-month > 10 [Confidence: 1055644537.37%; impurity: 0.45%]\n\n\n9019444.44444: (data 0.00% / prediction 0.62%) round = b and state != MD or UT or FL or OR or CT and category != hardware or cleantech and fundedDate.month > 7 and 5 < fundedDate.day-of-week <= 6  and fundedDate.day-of-month <= 8 and fundedDate.year > 2006 [Confidence: 695874749.68%; impurity: 0.44%]\n</code></pre>"}