Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29255.2934, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3589, scimark_benchmark: 1240.9375, usercpu_time_millis: 3091.082, usercpu_time_millis_testing: 69.733, usercpu_time_millis_training: 3021.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9694, kappa: 0.925, kb_relative_information_score: 30065.8193, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3392, scimark_benchmark: 1247.0428, usercpu_time_millis: 828.56, usercpu_time_millis_testing: 12.433, usercpu_time_millis_training: 816.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9204, kappa: 0.7998, kb_relative_information_score: 18553.206, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9233, prior_entropy: 0.863, recall: 0.9233, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5981, scimark_benchmark: 1270.7574, usercpu_time_millis: 69.414, usercpu_time_millis_testing: 4.778, usercpu_time_millis_training: 64.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9583, kappa: 0.8969, kb_relative_information_score: 25967.3742, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4234, scimark_benchmark: 1296.9774, usercpu_time_millis: 811.587, usercpu_time_millis_testing: 48.561, usercpu_time_millis_training: 763.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9472, kappa: 0.8704, kb_relative_information_score: 27905.4338, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4359, scimark_benchmark: 1287.5157, usercpu_time_millis: 3798.664, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 3797.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9221, kappa: 0.8048, kb_relative_information_score: 24414.6592, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9244, prior_entropy: 0.863, recall: 0.9244, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5079, scimark_benchmark: 1251.9577, usercpu_time_millis: 189.558, usercpu_time_millis_testing: 4.948, usercpu_time_millis_training: 184.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9583, kappa: 0.8975, kb_relative_information_score: 28136.1379, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4013, scimark_benchmark: 1275.616, usercpu_time_millis: 132.41, usercpu_time_millis_testing: 6.006, usercpu_time_millis_training: 126.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9369, kappa: 0.8434, kb_relative_information_score: 22951.4953, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5109, scimark_benchmark: 1255.0149, usercpu_time_millis: 1437.861, usercpu_time_millis_testing: 65.532, usercpu_time_millis_training: 1372.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 29373.9995, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3654, scimark_benchmark: 1271.7933, usercpu_time_millis: 6273.971, usercpu_time_millis_testing: 30.586, usercpu_time_millis_training: 6243.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.957, kappa: 0.894, kb_relative_information_score: 27315.4326, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4116, scimark_benchmark: 1260.8803, usercpu_time_millis: 3099.11, usercpu_time_millis_testing: 106.59, usercpu_time_millis_training: 2992.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28587.2292, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3823, scimark_benchmark: 1234.6388, usercpu_time_millis: 2963.22, usercpu_time_millis_testing: 51.603, usercpu_time_millis_training: 2911.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9375, kappa: 0.845, kb_relative_information_score: 24299.5506, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4899, scimark_benchmark: 1247.9135, usercpu_time_millis: 231.005, usercpu_time_millis_testing: 11.118, usercpu_time_millis_training: 219.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 28635.6635, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3812, scimark_benchmark: 1258.0793, usercpu_time_millis: 1634.374, usercpu_time_millis_testing: 57.531, usercpu_time_millis_training: 1576.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9614, kappa: 0.9052, kb_relative_information_score: 28614.1268, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3847, scimark_benchmark: 1264.0896, usercpu_time_millis: 709.385, usercpu_time_millis_testing: 15.561, usercpu_time_millis_training: 693.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9424, kappa: 0.8571, kb_relative_information_score: 23054.2914, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5041, scimark_benchmark: 1265.0357, usercpu_time_millis: 835.915, usercpu_time_millis_testing: 47.606, usercpu_time_millis_training: 788.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9663, kappa: 0.9174, kb_relative_information_score: 29434.0091, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3605, scimark_benchmark: 1245.5403, usercpu_time_millis: 8512.199, usercpu_time_millis_testing: 93.36, usercpu_time_millis_training: 8418.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9605, kappa: 0.903, kb_relative_information_score: 28157.0966, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3924, scimark_benchmark: 1270.5388, usercpu_time_millis: 1973.121, usercpu_time_millis_testing: 48.782, usercpu_time_millis_training: 1924.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9499, kappa: 0.8761, kb_relative_information_score: 25413.4146, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4529, scimark_benchmark: 1233.4127, usercpu_time_millis: 172.052, usercpu_time_millis_testing: 7.134, usercpu_time_millis_training: 164.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9417, kappa: 0.8555, kb_relative_information_score: 24206.8273, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4842, scimark_benchmark: 1261.4396, usercpu_time_millis: 1517.04, usercpu_time_millis_testing: 78.326, usercpu_time_millis_training: 1438.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9414, kappa: 0.8548, kb_relative_information_score: 25180.942, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4698, scimark_benchmark: 1244.0082, usercpu_time_millis: 1485.697, usercpu_time_millis_testing: 49.36, usercpu_time_millis_training: 1436.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9703, kappa: 0.9273, kb_relative_information_score: 30249.1036, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9704, prior_entropy: 0.863, recall: 0.9704, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3335, scimark_benchmark: 1260.7159, usercpu_time_millis: 1957.98, usercpu_time_millis_testing: 24.899, usercpu_time_millis_training: 1933.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9425, kappa: 0.8581, kb_relative_information_score: 26120.6167, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4602, scimark_benchmark: 1263.4492, usercpu_time_millis: 1570.04, usercpu_time_millis_testing: 39.011, usercpu_time_millis_training: 1531.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9524, kappa: 0.8829, kb_relative_information_score: 26884.3071, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4309, scimark_benchmark: 1274.2514, usercpu_time_millis: 3059.772, usercpu_time_millis_testing: 94.7, usercpu_time_millis_training: 2965.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9539, kappa: 0.8864, kb_relative_information_score: 26901.7194, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4252, scimark_benchmark: 1263.8841, usercpu_time_millis: 1723.672, usercpu_time_millis_testing: 62.788, usercpu_time_millis_training: 1660.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9502, kappa: 0.8774, kb_relative_information_score: 26752.2208, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4382, scimark_benchmark: 1262.861, usercpu_time_millis: 2223.741, usercpu_time_millis_testing: 72.462, usercpu_time_millis_training: 2151.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9601, kappa: 0.9017, kb_relative_information_score: 27034, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4062, scimark_benchmark: 1257.2836, usercpu_time_millis: 204.163, usercpu_time_millis_testing: 13.396, usercpu_time_millis_training: 190.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9288, kappa: 0.8214, kb_relative_information_score: 19143.6248, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.931, prior_entropy: 0.863, recall: 0.931, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5824, scimark_benchmark: 1264.3195, usercpu_time_millis: 303.246, usercpu_time_millis_testing: 23.625, usercpu_time_millis_training: 279.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9485, kappa: 0.8731, kb_relative_information_score: 26580.2814, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4434, scimark_benchmark: 1256.0702, usercpu_time_millis: 3692.601, usercpu_time_millis_testing: 79.499, usercpu_time_millis_training: 3613.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.952, kappa: 0.8819, kb_relative_information_score: 26982.2545, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4313, scimark_benchmark: 1241.1934, usercpu_time_millis: 1492.905, usercpu_time_millis_testing: 69.698, usercpu_time_millis_training: 1423.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 28327.8917, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3961, scimark_benchmark: 1235.6449, usercpu_time_millis: 5913.167, usercpu_time_millis_testing: 91.114, usercpu_time_millis_training: 5822.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9588, kappa: 0.8988, kb_relative_information_score: 28032.5849, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1272.9996, usercpu_time_millis: 902.501, usercpu_time_millis_testing: 32.296, usercpu_time_millis_training: 870.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 28784.8682, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3816, scimark_benchmark: 1243.3502, usercpu_time_millis: 11258.01, usercpu_time_millis_testing: 113.133, usercpu_time_millis_training: 11144.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 29525.8296, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3527, scimark_benchmark: 1270.2444, usercpu_time_millis: 2325.787, usercpu_time_millis_testing: 37.109, usercpu_time_millis_training: 2288.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9632, kappa: 0.9094, kb_relative_information_score: 28055.5863, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3822, scimark_benchmark: 1267.5168, usercpu_time_millis: 1808.597, usercpu_time_millis_testing: 78.602, usercpu_time_millis_training: 1729.995,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9696, kappa: 0.9254, kb_relative_information_score: 29546.7138, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3434, scimark_benchmark: 1265.7826, usercpu_time_millis: 1306.146, usercpu_time_millis_testing: 46.67, usercpu_time_millis_training: 1259.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29636.3457, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3476, scimark_benchmark: 1274.2314, usercpu_time_millis: 2868.346, usercpu_time_millis_testing: 54.543, usercpu_time_millis_training: 2813.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9042, kappa: 0.7576, kb_relative_information_score: 16740.8604, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9132, predictive_accuracy: 0.9087, prior_entropy: 0.863, recall: 0.9087, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.639, scimark_benchmark: 1218.601, usercpu_time_millis: 1048.205, usercpu_time_millis_testing: 79.042, usercpu_time_millis_training: 969.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.949, kappa: 0.8737, kb_relative_information_score: 23993.0001, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4756, scimark_benchmark: 1236.8249, usercpu_time_millis: 468.603, usercpu_time_millis_testing: 34.382, usercpu_time_millis_training: 434.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9548, kappa: 0.8889, kb_relative_information_score: 27581.0239, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.417, scimark_benchmark: 1270.9817, usercpu_time_millis: 1211.34, usercpu_time_millis_testing: 52.965, usercpu_time_millis_training: 1158.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9541, kappa: 0.8872, kb_relative_information_score: 27393.3689, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4227, scimark_benchmark: 1272.135, usercpu_time_millis: 1701.781, usercpu_time_millis_testing: 39.297, usercpu_time_millis_training: 1662.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28749.3049, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3766, scimark_benchmark: 1267.5364, usercpu_time_millis: 518.485, usercpu_time_millis_testing: 15.354, usercpu_time_millis_training: 503.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9276, kappa: 0.8196, kb_relative_information_score: 20227.87, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9287, predictive_accuracy: 0.9289, prior_entropy: 0.863, recall: 0.9289, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5673, scimark_benchmark: 1243.3225, usercpu_time_millis: 892.14, usercpu_time_millis_testing: 46.238, usercpu_time_millis_training: 845.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9507, kappa: 0.879, kb_relative_information_score: 27115.1668, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4359, scimark_benchmark: 1241.6574, usercpu_time_millis: 429.306, usercpu_time_millis_testing: 7.928, usercpu_time_millis_training: 421.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 28862.019, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3726, scimark_benchmark: 1236.9146, usercpu_time_millis: 1854.838, usercpu_time_millis_testing: 47.049, usercpu_time_millis_training: 1807.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 28824.5407, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734, scimark_benchmark: 1265.5973, usercpu_time_millis: 2576.072, usercpu_time_millis_testing: 63.945, usercpu_time_millis_training: 2512.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9606, kappa: 0.903, kb_relative_information_score: 27507.5965, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3979, scimark_benchmark: 1271.2252, usercpu_time_millis: 387.392, usercpu_time_millis_testing: 18.11, usercpu_time_millis_training: 369.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.96, kappa: 0.9017, kb_relative_information_score: 28341.8478, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3922, scimark_benchmark: 1239.7141, usercpu_time_millis: 3886.036, usercpu_time_millis_testing: 67.855, usercpu_time_millis_training: 3818.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9543, kappa: 0.8871, kb_relative_information_score: 26193.8169, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.433, scimark_benchmark: 1227.6613, usercpu_time_millis: 197.503, usercpu_time_millis_testing: 9.502, usercpu_time_millis_training: 188.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28516.756, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3862, scimark_benchmark: 1231.0382, usercpu_time_millis: 3892.52, usercpu_time_millis_testing: 114.026, usercpu_time_millis_training: 3778.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9203, kappa: 0.8004, kb_relative_information_score: 21729.0899, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9236, predictive_accuracy: 0.9226, prior_entropy: 0.863, recall: 0.9226, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.5449, scimark_benchmark: 1226.3636, usercpu_time_millis: 1171.166, usercpu_time_millis_testing: 34.054, usercpu_time_millis_training: 1137.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29382.7014, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3608, scimark_benchmark: 1233.787, usercpu_time_millis: 4263.892, usercpu_time_millis_testing: 61.195, usercpu_time_millis_training: 4202.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9681, kappa: 0.9216, kb_relative_information_score: 29521.4389, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3501, scimark_benchmark: 1232.514, usercpu_time_millis: 1433.574, usercpu_time_millis_testing: 36.137, usercpu_time_millis_training: 1397.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9456, kappa: 0.8657, kb_relative_information_score: 26017.814, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4532, scimark_benchmark: 1271.5584, usercpu_time_millis: 1769.989, usercpu_time_millis_testing: 58.804, usercpu_time_millis_training: 1711.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9405, kappa: 0.853, kb_relative_information_score: 25990.6321, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9411, prior_entropy: 0.863, recall: 0.9411, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4671, scimark_benchmark: 1237.3248, usercpu_time_millis: 2516.608, usercpu_time_millis_testing: 78.928, usercpu_time_millis_training: 2437.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9416, kappa: 0.8554, kb_relative_information_score: 25389.2134, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9419, predictive_accuracy: 0.9422, prior_entropy: 0.863, recall: 0.9422, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4671, scimark_benchmark: 1266.4862, usercpu_time_millis: 1966.103, usercpu_time_millis_testing: 58.527, usercpu_time_millis_training: 1907.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9185, kappa: 0.7967, kb_relative_information_score: 18973.5954, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.92, predictive_accuracy: 0.9203, prior_entropy: 0.863, recall: 0.9203, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.596, scimark_benchmark: 1251.4702, usercpu_time_millis: 432.468, usercpu_time_millis_testing: 25.668, usercpu_time_millis_training: 406.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9565, kappa: 0.8932, kb_relative_information_score: 27825.8181, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 1244.4632, usercpu_time_millis: 3338.96, usercpu_time_millis_testing: 62.868, usercpu_time_millis_training: 3276.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28832.4558, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3777, scimark_benchmark: 1304.4108, usercpu_time_millis: 4499.315, usercpu_time_millis_testing: 91.508, usercpu_time_millis_training: 4407.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9415, kappa: 0.8553, kb_relative_information_score: 25683.7394, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4653, scimark_benchmark: 1260.1625, usercpu_time_millis: 1890.347, usercpu_time_millis_testing: 58.476, usercpu_time_millis_training: 1831.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9427, kappa: 0.8586, kb_relative_information_score: 26026.1493, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4609, scimark_benchmark: 1232.6268, usercpu_time_millis: 3118.523, usercpu_time_millis_testing: 51.59, usercpu_time_millis_training: 3066.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9679, kappa: 0.9211, kb_relative_information_score: 29293.5224, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3514, scimark_benchmark: 1261.0706, usercpu_time_millis: 1403.63, usercpu_time_millis_testing: 54.732, usercpu_time_millis_training: 1348.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29696.1306, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3481, scimark_benchmark: 1272.0477, usercpu_time_millis: 5251.599, usercpu_time_millis_testing: 60.328, usercpu_time_millis_training: 5191.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9266, kappa: 0.8169, kb_relative_information_score: 23936.7388, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9285, predictive_accuracy: 0.9283, prior_entropy: 0.863, recall: 0.9283, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.5075, scimark_benchmark: 1245.9398, usercpu_time_millis: 887.224, usercpu_time_millis_testing: 42.103, usercpu_time_millis_training: 845.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9428, kappa: 0.8587, kb_relative_information_score: 25855.658, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.943, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4606, scimark_benchmark: 1260.3621, usercpu_time_millis: 3069.286, usercpu_time_millis_testing: 76.592, usercpu_time_millis_training: 2992.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9594, kappa: 0.8999, kb_relative_information_score: 27378.8055, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4015, scimark_benchmark: 1267.5043, usercpu_time_millis: 1331.613, usercpu_time_millis_testing: 75.481, usercpu_time_millis_training: 1256.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9542, kappa: 0.887, kb_relative_information_score: 26710.1675, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4262, scimark_benchmark: 1264.815, usercpu_time_millis: 1606.779, usercpu_time_millis_testing: 89.525, usercpu_time_millis_training: 1517.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9421, kappa: 0.857, kb_relative_information_score: 25972.6537, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.463, scimark_benchmark: 1266.359, usercpu_time_millis: 948.412, usercpu_time_millis_testing: 36.391, usercpu_time_millis_training: 912.021,

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

OpenML bootcamp

From your own software

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

OpenML APIs