{"rules": "
Data distribution:\n 100000000: 0.48% (7 instances)\n 10017952.7559: 8.70% (127 instances)\n 110000000: 0.07% (1 instance)\n 120000000: 0.07% (1 instance)\n 12280724.6377: 4.73% (69 instances)\n 130000000: 0.07% (1 instance)\n 14695679.0124: 5.55% (81 instances)\n 150000000: 0.14% (2 instances)\n 16854000: 1.71% (25 instances)\n 196000000: 0.07% (1 instance)\n 19740833.3333: 2.47% (36 instances)\n 21906250: 1.10% (16 instances)\n 25193939.3939: 2.26% (33 instances)\n 27580000: 0.34% (5 instances)\n 300000000: 0.14% (2 instances)\n 30005000: 1.37% (20 instances)\n 33314285.7143: 0.48% (7 instances)\n 35781818.1818: 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 59916666.6667: 0.41% (6 instances)\n 65000000: 0.07% (1 instance)\n 70000000: 0.07% (1 instance)\n 7557885.71429: 11.99% (175 instances)\n 75666666.6667: 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 10164285.7143: 0.96% (14 instances)\n 10214285.7143: 0.48% (7 instances)\n 10526529.6804: 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 10966666.6667: 0.41% (6 instances)\n 11733333.3333: 0.21% (3 instances)\n 12422189.1892: 0.41% (6 instances)\n 12440000: 0.34% (5 instances)\n 12458333.3333: 0.41% (6 instances)\n 12600000: 0.07% (1 instance)\n 1261711.11111: 3.08% (45 instances)\n 12766666.6667: 0.21% (3 instances)\n 1300000: 0.34% (5 instances)\n 13566666.6667: 0.62% (9 instances)\n 13772727.2727: 0.75% (11 instances)\n 14121428.5714: 0.96% (14 instances)\n 14283333.3333: 0.21% (3 instances)\n 1448636.36364: 1.51% (22 instances)\n 14666666.6667: 0.21% (3 instances)\n 14954545.4545: 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 22042127.6596: 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 22833333.3333: 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 25666666.6667: 0.21% (3 instances)\n 25750000: 0.27% (4 instances)\n 26250000: 0.14% (2 instances)\n 2672727.27273: 0.75% (11 instances)\n 27017391.3043: 0.14% (2 instances)\n 2750000: 0.14% (2 instances)\n 27666666.6667: 0.21% (3 instances)\n 2978571.42857: 0.48% (7 instances)\n 30000000: 0.14% (2 instances)\n 30229411.7647: 0.75% (11 instances)\n 31675000: 0.27% (4 instances)\n 32287500: 0.55% (8 instances)\n 32333333.3333: 0.21% (3 instances)\n 3300000: 0.07% (1 instance)\n 33300000: 0.14% (2 instances)\n 33600000: 0.14% (2 instances)\n 34333333.3333: 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\n10164285.7143: (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\n10214285.7143: (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\n10526529.6804: (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\n10966666.6667: (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\n11733333.3333: (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\n12422189.1892: (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\n12458333.3333: (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\n12766666.6667: (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\n13566666.6667: (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\n13772727.2727: (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\n14121428.5714: (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\n14283333.3333: (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\n14666666.6667: (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\n14954545.4545: (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\n22042127.6596: (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: 99289582.5204]\n\n \u00b7 30.77%: round != c or d or b and state != MD or WA and numEmps > 470 and fundedDate.year <= 2006 [Error: 35230319.8181]\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: 26338196.9666]\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\n22833333.3333: (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\n25666666.6667: (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\n27017391.3043: (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\n27666666.6667: (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\n30229411.7647: (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\n32333333.3333: (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\n34333333.3333: (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": 200, "formatter": "summarize"}