Task
Supervised Classification on AP_Breast_Ovary

Supervised Classification on AP_Breast_Ovary

Task 3999 Supervised Classification AP_Breast_Ovary 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.9298, kappa: 0.8485, kb_relative_information_score: 456.5357, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9298, predictive_accuracy: 0.9299, prior_entropy: 0.9474, recall: 0.9299, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5478, scimark_benchmark: 1178.2009, usercpu_time_millis: 4420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.9363, kappa: 0.8612, kb_relative_information_score: 464.654, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9395, predictive_accuracy: 0.9373, prior_entropy: 0.9474, recall: 0.9373, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5191, scimark_benchmark: 1079.53, usercpu_time_millis: 28490, usercpu_time_millis_testing: 28480, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9284, kappa: 0.8463, kb_relative_information_score: 436.1923, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9292, predictive_accuracy: 0.928, prior_entropy: 0.9474, recall: 0.928, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.5131, scimark_benchmark: 965.1682, usercpu_time_millis: 1660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9704, kappa: 0.9359, kb_relative_information_score: 385.5906, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.9474, recall: 0.9705, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.431, scimark_benchmark: 927.6653, usercpu_time_millis: 2440, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9578, kappa: 0.9097, kb_relative_information_score: 490.6029, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9592, predictive_accuracy: 0.9576, prior_entropy: 0.9474, recall: 0.9576, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4278, scimark_benchmark: 850.7576, usercpu_time_millis: 11420, usercpu_time_millis_testing: 3790, usercpu_time_millis_training: 7630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.9376, kappa: 0.8662, kb_relative_information_score: 455.452, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9386, predictive_accuracy: 0.9373, prior_entropy: 0.9474, recall: 0.9373, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5022, scimark_benchmark: 895.9409, usercpu_time_millis: 13290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9596, kappa: 0.9134, kb_relative_information_score: 492.8278, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9605, predictive_accuracy: 0.9594, prior_entropy: 0.9474, recall: 0.9594, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4184, scimark_benchmark: 836.9569, usercpu_time_millis: 5290, usercpu_time_millis_testing: 4110, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9761, kappa: 0.9484, kb_relative_information_score: 509.9087, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 0.9474, recall: 0.976, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3234, scimark_benchmark: 1326.2877, usercpu_time_millis: 449930, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 449830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9742, kappa: 0.9443, kb_relative_information_score: 510.6268, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9474, recall: 0.9742, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3338, scimark_benchmark: 1535.922, usercpu_time_millis: 1350, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9246, kappa: 0.8352, kb_relative_information_score: 435.5758, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9304, predictive_accuracy: 0.9262, prior_entropy: 0.9474, recall: 0.9262, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.4991, scimark_benchmark: 1573.005, usercpu_time_millis: 31540, usercpu_time_millis_testing: 31540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9125, kappa: 0.8084, kb_relative_information_score: 413.8332, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.923, predictive_accuracy: 0.9151, prior_entropy: 0.9474, recall: 0.9151, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5183, scimark_benchmark: 981.36, usercpu_time_millis: 67780, usercpu_time_millis_testing: 67780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9448, kappa: 0.8811, kb_relative_information_score: 473.9613, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.945, predictive_accuracy: 0.9446, prior_entropy: 0.9474, recall: 0.9446, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.483, scimark_benchmark: 896.0012, usercpu_time_millis: 1690140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1690120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9612, kappa: 0.9162, kb_relative_information_score: 493.4964, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.9474, recall: 0.9613, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.408, scimark_benchmark: 1541.9032, usercpu_time_millis: 1176230, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 1175760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9615, kappa: 0.9176, kb_relative_information_score: 495.0528, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9629, predictive_accuracy: 0.9613, prior_entropy: 0.9474, recall: 0.9613, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4088, scimark_benchmark: 1399.4223, usercpu_time_millis: 1379990, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1379870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9668, kappa: 0.9285, kb_relative_information_score: 457.8104, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 0.9474, recall: 0.9668, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3155, scimark_benchmark: 1383.862, usercpu_time_millis: 1342990, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1342960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9633, kappa: 0.9216, kb_relative_information_score: 497.046, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9649, predictive_accuracy: 0.9631, prior_entropy: 0.9474, recall: 0.9631, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3991, scimark_benchmark: 1552.6871, usercpu_time_millis: 1191930, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1191820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9302, kappa: 0.8501, kb_relative_information_score: 434.5694, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9309, predictive_accuracy: 0.9299, prior_entropy: 0.9474, recall: 0.9299, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.5116, scimark_benchmark: 1496.1267, usercpu_time_millis: 1312540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1312530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9724, kappa: 0.9405, kb_relative_information_score: 508.402, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9725, predictive_accuracy: 0.9723, prior_entropy: 0.9474, recall: 0.9723, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3455, scimark_benchmark: 1440.6033, usercpu_time_millis: 1335690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1335680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9685, kappa: 0.9319, kb_relative_information_score: 496.789, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 0.9474, recall: 0.9686, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.327, scimark_benchmark: 1390.9153, usercpu_time_millis: 1498230, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 1497060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9122, kappa: 0.8075, kb_relative_information_score: 456.2466, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9251, predictive_accuracy: 0.9151, prior_entropy: 0.9474, recall: 0.9151, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.4903, scimark_benchmark: 1128.4226, usercpu_time_millis: 37660, usercpu_time_millis_testing: 37660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9685, kappa: 0.9317, kb_relative_information_score: 495.4619, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9474, recall: 0.9686, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3257, scimark_benchmark: 1456.989, usercpu_time_millis: 1367140, usercpu_time_millis_testing: 1220, usercpu_time_millis_training: 1365920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9647, kappa: 0.9233, kb_relative_information_score: 497.5494, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9656, predictive_accuracy: 0.9649, prior_entropy: 0.9474, recall: 0.9649, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3538, scimark_benchmark: 1345.8868, usercpu_time_millis: 1357710, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 1356480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.4928, kb_relative_information_score: -4.5355, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.4028, predictive_accuracy: 0.6347, prior_entropy: 0.9474, recall: 0.6347, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0058, scimark_benchmark: 1037.8781, usercpu_time_millis: 320020, usercpu_time_millis_testing: 76940, usercpu_time_millis_training: 243080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9779, kappa: 0.9524, kb_relative_information_score: 514.797, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9779, predictive_accuracy: 0.9779, prior_entropy: 0.9474, recall: 0.9779, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3057, scimark_benchmark: 1353.7787, usercpu_time_millis: 206740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 206730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9724, kappa: 0.9405, kb_relative_information_score: 508.402, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9725, predictive_accuracy: 0.9723, prior_entropy: 0.9474, recall: 0.9723, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3455, scimark_benchmark: 1237.2505, usercpu_time_millis: 1354120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1354100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9593, kappa: 0.9121, kb_relative_information_score: 492.4865, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.9474, recall: 0.9594, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4156, scimark_benchmark: 1086.423, usercpu_time_millis: 1752430, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1752410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9705, kappa: 0.9363, kb_relative_information_score: 499.0653, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.9474, recall: 0.9705, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.169, root_relative_squared_error: 0.351, scimark_benchmark: 1150.0834, usercpu_time_millis: 1736970, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1736810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9501, kappa: 0.8922, kb_relative_information_score: 470.9372, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9501, predictive_accuracy: 0.9502, prior_entropy: 0.9474, recall: 0.9502, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4604, scimark_benchmark: 1542.4028, usercpu_time_millis: 1336800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1336790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.976, kappa: 0.9482, kb_relative_information_score: 512.6154, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.9474, recall: 0.976, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3149, scimark_benchmark: 1136.4931, usercpu_time_millis: 1951150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1951140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.9318, kappa: 0.8529, kb_relative_information_score: 458.7606, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9318, predictive_accuracy: 0.9317, prior_entropy: 0.9474, recall: 0.9317, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5405, scimark_benchmark: 912.8511, usercpu_time_millis: 6080, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 492.8278, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9609, predictive_accuracy: 0.9594, prior_entropy: 0.9474, recall: 0.9594, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4184, scimark_benchmark: 617.6465, usercpu_time_millis: 18290, usercpu_time_millis_testing: 4330, usercpu_time_millis_training: 13960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9704, kappa: 0.9361, kb_relative_information_score: 391.8903, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.9474, recall: 0.9705, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4226, scimark_benchmark: 508.2371, usercpu_time_millis: 4700, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9266, kappa: 0.8425, kb_relative_information_score: 431.7829, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9276, predictive_accuracy: 0.9262, prior_entropy: 0.9474, recall: 0.9262, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5229, scimark_benchmark: 796.662, usercpu_time_millis: 4150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9262, kappa: 0.8409, kb_relative_information_score: 447.4136, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9262, predictive_accuracy: 0.9262, prior_entropy: 0.9474, recall: 0.9262, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5456, scimark_benchmark: 1067.645, usercpu_time_millis: 14460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 14430,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.9363, kappa: 0.8612, kb_relative_information_score: 464.654, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9395, predictive_accuracy: 0.9373, prior_entropy: 0.9474, recall: 0.9373, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5191, scimark_benchmark: 865.7157, usercpu_time_millis: 28710, usercpu_time_millis_testing: 26560, usercpu_time_millis_training: 2150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9341, kappa: 0.8595, kb_relative_information_score: 461.6795, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9368, predictive_accuracy: 0.9336, prior_entropy: 0.9474, recall: 0.9336, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5352, usercpu_time_millis: 42.56, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 41.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9613, kappa: 0.9165, kb_relative_information_score: 495.0527, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9474, recall: 0.9613, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4088, usercpu_time_millis: 2106.062, usercpu_time_millis_testing: 85.522, usercpu_time_millis_training: 2020.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8585, kappa: 0.6907, kb_relative_information_score: 374.9093, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.8626, predictive_accuracy: 0.8616, prior_entropy: 0.9474, recall: 0.8616, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7725, usercpu_time_millis: 33.698, usercpu_time_millis_testing: 3.702, usercpu_time_millis_training: 29.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.976, kappa: 0.9483, kb_relative_information_score: 512.8517, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.9474, recall: 0.976, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3216, usercpu_time_millis: 369.245, usercpu_time_millis_testing: 35.222, usercpu_time_millis_training: 334.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.965, kappa: 0.9246, kb_relative_information_score: 499.5024, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9651, predictive_accuracy: 0.9649, prior_entropy: 0.9474, recall: 0.9649, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3888, usercpu_time_millis: 1803.023, usercpu_time_millis_testing: 4.287, usercpu_time_millis_training: 1798.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9779, kappa: 0.9524, kb_relative_information_score: 515.0766, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9779, predictive_accuracy: 0.9779, prior_entropy: 0.9474, recall: 0.9779, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.309, usercpu_time_millis: 66.5, usercpu_time_millis_testing: 7.628, usercpu_time_millis_training: 58.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4928, kb_relative_information_score: 101.2493, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.4028, predictive_accuracy: 0.6347, prior_entropy: 0.9474, recall: 0.6347, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.6044, root_relative_squared_error: 1.2552, usercpu_time_millis: 52.074, usercpu_time_millis_testing: 3.167, usercpu_time_millis_training: 48.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.9228, kappa: 0.8343, kb_relative_information_score: 448.3302, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 0.9474, recall: 0.9225, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5781, usercpu_time_millis: 205.447, usercpu_time_millis_testing: 73.7, usercpu_time_millis_training: 131.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9687, kappa: 0.9326, kb_relative_information_score: 503.9522, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9688, predictive_accuracy: 0.9686, prior_entropy: 0.9474, recall: 0.9686, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3678, usercpu_time_millis: 337.182, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 336.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5499, kappa: 0.0588, kb_relative_information_score: 105.699, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.6028, predictive_accuracy: 0.6384, prior_entropy: 0.9474, recall: 0.6384, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.6014, root_relative_squared_error: 1.2489, usercpu_time_millis: 6038.101, usercpu_time_millis_testing: 435.147, usercpu_time_millis_training: 5602.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9245, kappa: 0.8374, kb_relative_information_score: 450.5551, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9247, predictive_accuracy: 0.9244, prior_entropy: 0.9474, recall: 0.9244, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5712, usercpu_time_millis: 18.739, usercpu_time_millis_testing: 4.759, usercpu_time_millis_training: 13.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9482, kappa: 0.8881, kb_relative_information_score: 479.4785, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9482, predictive_accuracy: 0.9483, prior_entropy: 0.9474, recall: 0.9483, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.472, usercpu_time_millis: 496.19, usercpu_time_millis_testing: 91.78, usercpu_time_millis_training: 404.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.897, kappa: 0.7786, kb_relative_information_score: 417.1819, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.8975, predictive_accuracy: 0.8967, prior_entropy: 0.9474, recall: 0.8967, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6675, usercpu_time_millis: 4525.228, usercpu_time_millis_testing: 5.997, usercpu_time_millis_training: 4519.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9761, kappa: 0.9484, kb_relative_information_score: 512.8517, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 0.9474, recall: 0.976, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3216, usercpu_time_millis: 99475.166, usercpu_time_millis_testing: 99471.662, usercpu_time_millis_training: 3.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.6296, kappa: 0.1936, kb_relative_information_score: 38.2817, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.6546, predictive_accuracy: 0.6697, prior_entropy: 0.9474, recall: 0.6697, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9597, usercpu_time_millis: 18.353, usercpu_time_millis_testing: 2.558, usercpu_time_millis_training: 15.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9615, kappa: 0.9178, kb_relative_information_score: 495.0527, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9633, predictive_accuracy: 0.9613, prior_entropy: 0.9474, recall: 0.9613, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4088, usercpu_time_millis: 411.348, usercpu_time_millis_testing: 204.241, usercpu_time_millis_training: 207.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9208, kappa: 0.8295, kb_relative_information_score: 438.4778, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.921, predictive_accuracy: 0.9207, prior_entropy: 0.9474, recall: 0.9207, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.5555, scimark_benchmark: 940.0109, usercpu_time_millis: 6860, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 6260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9596, kappa: 0.9134, kb_relative_information_score: 492.8278, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9605, predictive_accuracy: 0.9594, prior_entropy: 0.9474, recall: 0.9594, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4184, scimark_benchmark: 1782.5903, usercpu_time_millis: 4000, usercpu_time_millis_testing: 2510, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9705, kappa: 0.9363, kb_relative_information_score: 434.9697, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.9474, recall: 0.9705, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3527, scimark_benchmark: 944.8364, usercpu_time_millis: 13800, usercpu_time_millis_testing: 710, usercpu_time_millis_training: 13090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9649, kappa: 0.9243, kb_relative_information_score: 502.2221, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9474, recall: 0.9649, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3202, scimark_benchmark: 1232.9904, usercpu_time_millis: 1113540, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 1113020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9596, kappa: 0.9134, kb_relative_information_score: 492.8278, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9605, predictive_accuracy: 0.9594, prior_entropy: 0.9474, recall: 0.9594, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9649, kappa: 0.9243, kb_relative_information_score: 498.0665, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9474, recall: 0.9649, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.9073, kappa: 0.7993, kb_relative_information_score: 430.5312, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9073, predictive_accuracy: 0.9077, prior_entropy: 0.9474, recall: 0.9077, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9578, kappa: 0.9097, kb_relative_information_score: 490.6029, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9592, predictive_accuracy: 0.9576, prior_entropy: 0.9474, recall: 0.9576, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9596, kappa: 0.9134, kb_relative_information_score: 492.8278, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9605, predictive_accuracy: 0.9594, prior_entropy: 0.9474, recall: 0.9594, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9649, kappa: 0.9243, kb_relative_information_score: 498.0665, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9474, recall: 0.9649, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.9073, kappa: 0.7993, kb_relative_information_score: 430.5312, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9073, predictive_accuracy: 0.9077, prior_entropy: 0.9474, recall: 0.9077, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9578, kappa: 0.9097, kb_relative_information_score: 490.6029, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9592, predictive_accuracy: 0.9576, prior_entropy: 0.9474, recall: 0.9576, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9284, kappa: 0.8463, kb_relative_information_score: 436.1923, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.9292, predictive_accuracy: 0.928, prior_entropy: 0.9474, recall: 0.928, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.5131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.4928, kb_relative_information_score: -0.1336, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.4028, predictive_accuracy: 0.6347, prior_entropy: 0.9474, recall: 0.6347, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.4815, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.8635, kappa: 0.7056, kb_relative_information_score: 377.1341, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4639, number_of_instances: 542, precision: 0.8635, predictive_accuracy: 0.8635, prior_entropy: 0.9474, recall: 0.8635, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4815, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7674,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

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