OpenML
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: 0.9749, f_measure: 0.9134, kappa: 0.7846, kb_relative_information_score: 22142.8348, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9139, predictive_accuracy: 0.9148, prior_entropy: 0.863, recall: 0.9148, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.548, scimark_benchmark: 1803.7678, usercpu_time_millis: 233.053, usercpu_time_millis_testing: 4.398, usercpu_time_millis_training: 228.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8604, kappa: 0.6635, kb_relative_information_score: 17329.0404, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.864, predictive_accuracy: 0.8585, prior_entropy: 0.863, recall: 0.8585, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6968, scimark_benchmark: 1806.712, usercpu_time_millis: 1523.357, usercpu_time_millis_testing: 8.97, usercpu_time_millis_training: 1514.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9385, kappa: 0.8488, kb_relative_information_score: 26411.4482, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.474, scimark_benchmark: 1833.7788, usercpu_time_millis: 1316.802, usercpu_time_millis_testing: 3.175, usercpu_time_millis_training: 1313.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9154, kappa: 0.787, kb_relative_information_score: 24183.4748, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9184, prior_entropy: 0.863, recall: 0.9184, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5256, scimark_benchmark: 1778.385, usercpu_time_millis: 1474.109, usercpu_time_millis_testing: 8.812, usercpu_time_millis_training: 1465.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9046, kappa: 0.764, kb_relative_information_score: 22178.5577, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9044, predictive_accuracy: 0.9057, prior_entropy: 0.863, recall: 0.9057, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5823, scimark_benchmark: 1783.5456, usercpu_time_millis: 1485.432, usercpu_time_millis_testing: 7.741, usercpu_time_millis_training: 1477.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8686, kappa: 0.6804, kb_relative_information_score: 17404.3134, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6822, scimark_benchmark: 1789.2398, usercpu_time_millis: 1408.359, usercpu_time_millis_testing: 8.463, usercpu_time_millis_training: 1399.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9237, kappa: 0.8091, kb_relative_information_score: 24785.5384, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9266, predictive_accuracy: 0.9258, prior_entropy: 0.863, recall: 0.9258, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5087, scimark_benchmark: 1798.5474, usercpu_time_millis: 2024.222, usercpu_time_millis_testing: 10.85, usercpu_time_millis_training: 2013.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.918, kappa: 0.7941, kb_relative_information_score: 24604.9658, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9205, prior_entropy: 0.863, recall: 0.9205, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5217, scimark_benchmark: 1778.2859, usercpu_time_millis: 2060.969, usercpu_time_millis_testing: 6.667, usercpu_time_millis_training: 2054.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9348, kappa: 0.8385, kb_relative_information_score: 25697.6752, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.22, root_relative_squared_error: 0.487, scimark_benchmark: 1827.2523, usercpu_time_millis: 1008.259, usercpu_time_millis_testing: 4.035, usercpu_time_millis_training: 1004.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9368, kappa: 0.8434, kb_relative_information_score: 25891.4746, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4811, scimark_benchmark: 1790.3475, usercpu_time_millis: 902.005, usercpu_time_millis_testing: 4.723, usercpu_time_millis_training: 897.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9115, kappa: 0.7804, kb_relative_information_score: 22263.4766, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9117, predictive_accuracy: 0.9128, prior_entropy: 0.863, recall: 0.9128, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.559, scimark_benchmark: 1779.5694, usercpu_time_millis: 958.914, usercpu_time_millis_testing: 9.793, usercpu_time_millis_training: 949.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9147, kappa: 0.7852, kb_relative_information_score: 24360.1554, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9201, predictive_accuracy: 0.9178, prior_entropy: 0.863, recall: 0.9178, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5299, scimark_benchmark: 1798.2259, usercpu_time_millis: 1276.249, usercpu_time_millis_testing: 4.316, usercpu_time_millis_training: 1271.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9024, kappa: 0.7587, kb_relative_information_score: 22257.763, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9021, predictive_accuracy: 0.9033, prior_entropy: 0.863, recall: 0.9033, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.595, scimark_benchmark: 1825.1829, usercpu_time_millis: 1772.498, usercpu_time_millis_testing: 5.766, usercpu_time_millis_training: 1766.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9145, kappa: 0.7847, kb_relative_information_score: 24333.3479, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.92, predictive_accuracy: 0.9176, prior_entropy: 0.863, recall: 0.9176, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5307, scimark_benchmark: 1837.0722, usercpu_time_millis: 1743.958, usercpu_time_millis_testing: 5.181, usercpu_time_millis_training: 1738.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9458, kappa: 0.867, kb_relative_information_score: 27365.1291, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4459, scimark_benchmark: 1772.9833, usercpu_time_millis: 1290.461, usercpu_time_millis_testing: 3.122, usercpu_time_millis_training: 1287.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9232, kappa: 0.8079, kb_relative_information_score: 24798.6245, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5112, scimark_benchmark: 1799.9333, usercpu_time_millis: 1242.621, usercpu_time_millis_testing: 5.449, usercpu_time_millis_training: 1237.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9478, kappa: 0.8719, kb_relative_information_score: 27742.22, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4377, scimark_benchmark: 1793.8394, usercpu_time_millis: 753.151, usercpu_time_millis_testing: 1.672, usercpu_time_millis_training: 751.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9541, kappa: 0.8875, kb_relative_information_score: 27779.8711, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4191, scimark_benchmark: 1790.0934, usercpu_time_millis: 826.175, usercpu_time_millis_testing: 5.902, usercpu_time_millis_training: 820.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8646, kappa: 0.6723, kb_relative_information_score: 17380.2069, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8671, predictive_accuracy: 0.863, prior_entropy: 0.863, recall: 0.863, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6878, scimark_benchmark: 1767.0732, usercpu_time_millis: 946.985, usercpu_time_millis_testing: 4.897, usercpu_time_millis_training: 942.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9134, kappa: 0.7824, kb_relative_information_score: 23921.6527, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9178, predictive_accuracy: 0.9163, prior_entropy: 0.863, recall: 0.9163, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5319, scimark_benchmark: 1826.3575, usercpu_time_millis: 1710.344, usercpu_time_millis_testing: 8.105, usercpu_time_millis_training: 1702.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9388, kappa: 0.8486, kb_relative_information_score: 25368.0694, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9391, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4747, scimark_benchmark: 1790.5804, usercpu_time_millis: 556.535, usercpu_time_millis_testing: 12.94, usercpu_time_millis_training: 543.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9105, kappa: 0.7776, kb_relative_information_score: 21916.9066, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9107, predictive_accuracy: 0.9118, prior_entropy: 0.863, recall: 0.9118, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5647, scimark_benchmark: 1786.6655, usercpu_time_millis: 725.441, usercpu_time_millis_testing: 8.291, usercpu_time_millis_training: 717.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9155, kappa: 0.7873, kb_relative_information_score: 24341.7436, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.921, predictive_accuracy: 0.9186, prior_entropy: 0.863, recall: 0.9186, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5267, scimark_benchmark: 1780.2764, usercpu_time_millis: 802.198, usercpu_time_millis_testing: 4.058, usercpu_time_millis_training: 798.14,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9204, kappa: 0.8005, kb_relative_information_score: 24672.4093, mean_absolute_error: 0.1181, 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: 0.2893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.5176, scimark_benchmark: 1788.9832, usercpu_time_millis: 1164.781, usercpu_time_millis_testing: 4.704, usercpu_time_millis_training: 1160.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9351, kappa: 0.8392, kb_relative_information_score: 25821.8114, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4832, scimark_benchmark: 1791.8959, usercpu_time_millis: 1086.959, usercpu_time_millis_testing: 4.965, usercpu_time_millis_training: 1081.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9224, kappa: 0.8057, kb_relative_information_score: 24731.3723, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9245, prior_entropy: 0.863, recall: 0.9245, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5127, scimark_benchmark: 1822.7706, usercpu_time_millis: 1127.461, usercpu_time_millis_testing: 5.227, usercpu_time_millis_training: 1122.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9118, kappa: 0.7807, kb_relative_information_score: 23452.9635, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9122, predictive_accuracy: 0.9132, prior_entropy: 0.863, recall: 0.9132, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.5386, scimark_benchmark: 1779.2929, usercpu_time_millis: 1228.749, usercpu_time_millis_testing: 7.464, usercpu_time_millis_training: 1221.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9649, kappa: 0.9141, kb_relative_information_score: 30019.6099, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3638, scimark_benchmark: 1283.1565, usercpu_time_millis: 14431.076, usercpu_time_millis_testing: 74.064, usercpu_time_millis_training: 14357.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9574, kappa: 0.8951, kb_relative_information_score: 29056.5829, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.4, scimark_benchmark: 1275.9172, usercpu_time_millis: 17348.593, usercpu_time_millis_testing: 75.568, usercpu_time_millis_training: 17273.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1297.8611, usercpu_time_millis: 7.673, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 7.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1292.9981, usercpu_time_millis: 8.913, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 8.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1278.0293, usercpu_time_millis: 9.524, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 9.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1289.3555, usercpu_time_millis: 7.461, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 6.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1298.1421, usercpu_time_millis: 9.031, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 8.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9499, kappa: 0.8772, kb_relative_information_score: 28345.6995, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4242, scimark_benchmark: 1296.8565, usercpu_time_millis: 14375.201, usercpu_time_millis_testing: 63.013, usercpu_time_millis_training: 14312.188,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1276.1492, usercpu_time_millis: 9.199, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 8.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1283.4355, usercpu_time_millis: 8.982, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 8.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1274.9768, usercpu_time_millis: 9.448, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 8.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9039, kappa: 0.7589, kb_relative_information_score: 21558.856, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6364, scimark_benchmark: 1295.1797, usercpu_time_millis: 10.854, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 10.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1281.6753, usercpu_time_millis: 9.019, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 8.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9264, kappa: 0.817, kb_relative_information_score: 24861.236, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.9276, prior_entropy: 0.863, recall: 0.9276, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5448, scimark_benchmark: 1280.2963, usercpu_time_millis: 15.592, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 15.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1294.9249, usercpu_time_millis: 9.836, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 9.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1297.3663, usercpu_time_millis: 8.959, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 8.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1296.5004, usercpu_time_millis: 10.119, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 9.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1296.1934, usercpu_time_millis: 10.043, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 9.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1299.0008, usercpu_time_millis: 8.55, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 8.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1298.1168, usercpu_time_millis: 8.904, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 8.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1299.047, usercpu_time_millis: 7.859, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 7.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9395, kappa: 0.8512, kb_relative_information_score: 26605.0627, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9394, predictive_accuracy: 0.9398, prior_entropy: 0.863, recall: 0.9398, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4921, scimark_benchmark: 1282.505, usercpu_time_millis: 13.536, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 13.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9652, kappa: 0.9145, kb_relative_information_score: 29107.7078, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3679, scimark_benchmark: 1344.8352, usercpu_time_millis: 2495.595, usercpu_time_millis_testing: 45.311, usercpu_time_millis_training: 2450.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9612, kappa: 0.9047, kb_relative_information_score: 28716.8734, mean_absolute_error: 0.0721, 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: 0.1768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3879, scimark_benchmark: 1304.7867, usercpu_time_millis: 13819.447, usercpu_time_millis_testing: 92.107, usercpu_time_millis_training: 13727.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9669, kappa: 0.9188, kb_relative_information_score: 29495.4193, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3579, scimark_benchmark: 1321.7784, usercpu_time_millis: 2006.888, usercpu_time_millis_testing: 18.263, usercpu_time_millis_training: 1988.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.948, kappa: 0.8726, kb_relative_information_score: 28223.8214, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4297, scimark_benchmark: 1300.3806, usercpu_time_millis: 9157.107, usercpu_time_millis_testing: 81.095, usercpu_time_millis_training: 9076.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9409, kappa: 0.8532, kb_relative_information_score: 27214.3613, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9419, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4582, scimark_benchmark: 1266.9353, usercpu_time_millis: 16934.712, usercpu_time_millis_testing: 106.758, usercpu_time_millis_training: 16827.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9618, kappa: 0.9061, kb_relative_information_score: 29546.6508, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3814, scimark_benchmark: 1272.2692, usercpu_time_millis: 15881.611, usercpu_time_millis_testing: 60.299, usercpu_time_millis_training: 15821.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9679, kappa: 0.9213, kb_relative_information_score: 29681.9852, mean_absolute_error: 0.0604, 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: 0.148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3502, scimark_benchmark: 1327.5058, usercpu_time_millis: 2979.889, usercpu_time_millis_testing: 26.477, usercpu_time_millis_training: 2953.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9605, kappa: 0.9029, kb_relative_information_score: 28646.7764, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3884, scimark_benchmark: 1324.5748, usercpu_time_millis: 8238.986, usercpu_time_millis_testing: 90.879, usercpu_time_millis_training: 8148.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29724.8561, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3539, scimark_benchmark: 1305.754, usercpu_time_millis: 2654.963, usercpu_time_millis_testing: 16.101, usercpu_time_millis_training: 2638.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.965, kappa: 0.914, kb_relative_information_score: 29394.2719, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3669, scimark_benchmark: 1321.227, usercpu_time_millis: 2574.788, usercpu_time_millis_testing: 10.338, usercpu_time_millis_training: 2564.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29644.596, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1333.8202, usercpu_time_millis: 14625.006, usercpu_time_millis_testing: 60.344, usercpu_time_millis_training: 14564.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 28994.2137, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.379, scimark_benchmark: 1337.8405, usercpu_time_millis: 7674.291, usercpu_time_millis_testing: 48.24, usercpu_time_millis_training: 7626.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9668, kappa: 0.9184, kb_relative_information_score: 29583.1527, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3583, scimark_benchmark: 1335.0012, usercpu_time_millis: 7465.52, usercpu_time_millis_testing: 33.607, usercpu_time_millis_training: 7431.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29398.8473, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1313.8128, usercpu_time_millis: 9831.514, usercpu_time_millis_testing: 82.114, usercpu_time_millis_training: 9749.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9416, kappa: 0.8567, kb_relative_information_score: 27319.8074, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4591, scimark_benchmark: 1282.3162, usercpu_time_millis: 11636.081, usercpu_time_millis_testing: 98.871, usercpu_time_millis_training: 11537.21,

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