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Supervised Classification on kc2

Supervised Classification on kc2

Task 4618 Supervised Classification kc2 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8148, kappa: 0.4083, kb_relative_information_score: 1350.0853, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8107, predictive_accuracy: 0.8239, prior_entropy: 0.734, recall: 0.8239, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.359, root_relative_squared_error: 0.8893, scimark_benchmark: 1321.4771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8045, kappa: 0.4625, kb_relative_information_score: 1274.1818, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8376, predictive_accuracy: 0.7902, prior_entropy: 0.734, recall: 0.7902, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.1254, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1390.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8234, kappa: 0.4336, kb_relative_information_score: 1263.123, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.82, predictive_accuracy: 0.833, prior_entropy: 0.734, recall: 0.833, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.859, scimark_benchmark: 1332.7986, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.8172, kappa: 0.4088, kb_relative_information_score: 1321.7213, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8143, predictive_accuracy: 0.8297, prior_entropy: 0.734, recall: 0.8297, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8968, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8234, kappa: 0.4336, kb_relative_information_score: 1263.123, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.82, predictive_accuracy: 0.833, prior_entropy: 0.734, recall: 0.833, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.859, scimark_benchmark: 1346.2927, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7035, kappa: -0.0031, kb_relative_information_score: 1368.8428, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.6318, predictive_accuracy: 0.7935, prior_entropy: 0.734, recall: 0.7935, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1257, scimark_benchmark: 1350.007, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8045, kappa: 0.4625, kb_relative_information_score: 1274.1818, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8376, predictive_accuracy: 0.7902, prior_entropy: 0.734, recall: 0.7902, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.1254, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.8095, kappa: 0.3785, kb_relative_information_score: 1359.1029, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8075, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9194, scimark_benchmark: 1281.7531, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8045, kappa: 0.4625, kb_relative_information_score: 1274.1818, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8376, predictive_accuracy: 0.7902, prior_entropy: 0.734, recall: 0.7902, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.1254, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8045, kappa: 0.4625, kb_relative_information_score: 1274.1818, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8376, predictive_accuracy: 0.7902, prior_entropy: 0.734, recall: 0.7902, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.1254, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 1278.6629, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8231, kappa: 0.4362, kb_relative_information_score: 1532.3763, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8195, predictive_accuracy: 0.8312, prior_entropy: 0.734, recall: 0.8312, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.352, root_relative_squared_error: 0.872, scimark_benchmark: 1318.5627, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.8172, kappa: 0.4088, kb_relative_information_score: 1321.7213, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8143, predictive_accuracy: 0.8297, prior_entropy: 0.734, recall: 0.8297, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8968, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.8193, kappa: 0.4174, kb_relative_information_score: 1515.3384, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8161, predictive_accuracy: 0.8307, prior_entropy: 0.734, recall: 0.8307, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9022, scimark_benchmark: 1350.073, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8266, kappa: 0.4394, kb_relative_information_score: 1384.6568, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8246, predictive_accuracy: 0.8383, prior_entropy: 0.734, recall: 0.8383, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.8352, scimark_benchmark: 1227.9507, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.8172, kappa: 0.4088, kb_relative_information_score: 1321.7213, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8143, predictive_accuracy: 0.8297, prior_entropy: 0.734, recall: 0.8297, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8968, scimark_benchmark: 1301.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.7793, kappa: 0.3033, kb_relative_information_score: 996.423, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.7741, predictive_accuracy: 0.7864, prior_entropy: 0.734, recall: 0.7864, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.1013, scimark_benchmark: 1357.483, usercpu_time_millis: 4540, usercpu_time_millis_testing: 4540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.8112, kappa: 0.4644, kb_relative_information_score: 1075.7971, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8327, predictive_accuracy: 0.8002, prior_entropy: 0.734, recall: 0.8002, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.8736, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8217, kappa: 0.4191, kb_relative_information_score: 1325.1991, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8211, predictive_accuracy: 0.8364, prior_entropy: 0.734, recall: 0.8364, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.836, scimark_benchmark: 1309.4998, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8153, kappa: 0.402, kb_relative_information_score: 366.4782, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8124, predictive_accuracy: 0.8284, prior_entropy: 0.734, recall: 0.8284, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8909, scimark_benchmark: 1343.2125, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.8112, kappa: 0.4022, kb_relative_information_score: 1344.4075, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8071, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.391, root_relative_squared_error: 0.9685, scimark_benchmark: 912.7324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.8095, kappa: 0.3785, kb_relative_information_score: 1359.1029, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8075, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9194, scimark_benchmark: 1335.5424, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8148, kappa: 0.4083, kb_relative_information_score: 1350.0853, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8107, predictive_accuracy: 0.8239, prior_entropy: 0.734, recall: 0.8239, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.359, root_relative_squared_error: 0.8893, scimark_benchmark: 1360.2771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8244, kappa: 0.4281, kb_relative_information_score: 1323.902, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.824, predictive_accuracy: 0.8387, prior_entropy: 0.734, recall: 0.8387, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.8343, scimark_benchmark: 1335.5424, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.8261, kappa: 0.4354, kb_relative_information_score: 1328.8053, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8249, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.8377, scimark_benchmark: 1354.8751, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.8293, kappa: 0.4539, kb_relative_information_score: 2079.5289, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8262, predictive_accuracy: 0.8379, prior_entropy: 0.734, recall: 0.8379, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9765, scimark_benchmark: 854.5188, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.8305, kappa: 0.457, kb_relative_information_score: 1593.4387, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8276, predictive_accuracy: 0.8395, prior_entropy: 0.734, recall: 0.8395, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.8509, scimark_benchmark: 1327.3684, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8216, kappa: 0.4366, kb_relative_information_score: 1608.4464, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8181, predictive_accuracy: 0.8274, prior_entropy: 0.734, recall: 0.8274, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.8886, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8367, kappa: 0.4765, kb_relative_information_score: 1609.1353, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8345, predictive_accuracy: 0.8456, prior_entropy: 0.734, recall: 0.8456, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.8413, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.8417, kappa: 0.4949, kb_relative_information_score: 1672.5096, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8394, predictive_accuracy: 0.8492, prior_entropy: 0.734, recall: 0.8492, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.8311, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8252, kappa: 0.4349, kb_relative_information_score: 1376.3594, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.823, predictive_accuracy: 0.837, prior_entropy: 0.734, recall: 0.837, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.8365, scimark_benchmark: 924.1296, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.827, kappa: 0.4398, kb_relative_information_score: 1398.0786, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8255, predictive_accuracy: 0.8393, prior_entropy: 0.734, recall: 0.8393, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.339, root_relative_squared_error: 0.8397, scimark_benchmark: 938.0414, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8208, kappa: 0.4149, kb_relative_information_score: 1277.5211, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8207, predictive_accuracy: 0.8362, prior_entropy: 0.734, recall: 0.8362, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8968, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.8229, kappa: 0.4332, kb_relative_information_score: 1512.305, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8194, predictive_accuracy: 0.832, prior_entropy: 0.734, recall: 0.832, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.8657, scimark_benchmark: 915.6729, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.8173, kappa: 0.4122, kb_relative_information_score: 1467.9151, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8137, predictive_accuracy: 0.8282, prior_entropy: 0.734, recall: 0.8282, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8626, scimark_benchmark: 918.0213, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.8152, kappa: 0.4052, kb_relative_information_score: 1447.9879, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8114, predictive_accuracy: 0.8262, prior_entropy: 0.734, recall: 0.8262, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.8612, scimark_benchmark: 915.9693, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.8119, kappa: 0.3947, kb_relative_information_score: 1420.1172, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8079, predictive_accuracy: 0.8232, prior_entropy: 0.734, recall: 0.8232, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.8622, scimark_benchmark: 889.3151, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8095, kappa: 0.3922, kb_relative_information_score: 1372.8376, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.805, predictive_accuracy: 0.8184, prior_entropy: 0.734, recall: 0.8184, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.8655, scimark_benchmark: 930.5999, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.823, kappa: 0.4371, kb_relative_information_score: 1347.2124, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8193, predictive_accuracy: 0.8305, prior_entropy: 0.734, recall: 0.8305, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8868, scimark_benchmark: 933.3136, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.8184, kappa: 0.43, kb_relative_information_score: 1228.1321, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8152, predictive_accuracy: 0.823, prior_entropy: 0.734, recall: 0.823, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9332, scimark_benchmark: 924.3698, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.677, f_measure: 0.8228, kappa: 0.4187, kb_relative_information_score: 2229.8907, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8251, predictive_accuracy: 0.8398, prior_entropy: 0.734, recall: 0.8398, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9913, scimark_benchmark: 939.5205, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.7097, kappa: 0.0177, kb_relative_information_score: 1440.0038, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8385, predictive_accuracy: 0.7973, prior_entropy: 0.734, recall: 0.7973, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1152, scimark_benchmark: 889.3151, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.7815, kappa: 0.2602, kb_relative_information_score: 1980.8272, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8242, predictive_accuracy: 0.8264, prior_entropy: 0.734, recall: 0.8264, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4166, root_relative_squared_error: 1.032, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8227, kappa: 0.4167, kb_relative_information_score: 1314.7711, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8261, predictive_accuracy: 0.8406, prior_entropy: 0.734, recall: 0.8406, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.837, scimark_benchmark: 889.3151, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.7394, kappa: 0.1682, kb_relative_information_score: 596.7462, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.7303, predictive_accuracy: 0.7519, prior_entropy: 0.734, recall: 0.7519, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.2338, scimark_benchmark: 1337.7959, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8119, kappa: 0.3838, kb_relative_information_score: 1383.1481, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8115, predictive_accuracy: 0.8293, prior_entropy: 0.734, recall: 0.8293, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.343, root_relative_squared_error: 0.8496, scimark_benchmark: 1304.6687, usercpu_time_millis: 1440, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8249, kappa: 0.4454, kb_relative_information_score: 1776.6222, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8214, predictive_accuracy: 0.8312, prior_entropy: 0.734, recall: 0.8312, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.8665, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8234, kappa: 0.4336, kb_relative_information_score: 1263.123, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.82, predictive_accuracy: 0.833, prior_entropy: 0.734, recall: 0.833, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.859, scimark_benchmark: 1368.9272, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.7984, kappa: 0.3749, kb_relative_information_score: 1279.3464, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.7964, predictive_accuracy: 0.8006, prior_entropy: 0.734, recall: 0.8006, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4484, root_relative_squared_error: 1.1107, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.8157, kappa: 0.3996, kb_relative_information_score: 1309.5272, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8142, predictive_accuracy: 0.8308, prior_entropy: 0.734, recall: 0.8308, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.8857, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.8321, kappa: 0.471, kb_relative_information_score: 1476.4745, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8291, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.8679, scimark_benchmark: 1306.6379, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.7764, kappa: 0.3102, kb_relative_information_score: 1073.5248, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.7752, predictive_accuracy: 0.7776, prior_entropy: 0.734, recall: 0.7776, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.1682, scimark_benchmark: 1341.5768, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.7013, kappa: 0.0415, kb_relative_information_score: -36.5865, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.688, predictive_accuracy: 0.7178, prior_entropy: 0.734, recall: 0.7178, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5312, root_relative_squared_error: 1.3159, scimark_benchmark: 1369.9744, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7967, kappa: 0.335, kb_relative_information_score: 1248.0114, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.7931, predictive_accuracy: 0.8148, prior_entropy: 0.734, recall: 0.8148, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9235, scimark_benchmark: 1337.446, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.8136, kappa: 0.401, kb_relative_information_score: 1941.6887, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.3266, number_of_instances: 5220, precision: 0.8096, predictive_accuracy: 0.8243, prior_entropy: 0.734, recall: 0.8243, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0383, scimark_benchmark: 1384.4418,

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

OpenML APIs