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Supervised Classification on tr21.wc

Supervised Classification on tr21.wc

Task 4224 Supervised Classification tr21.wc 91 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8624, kappa: 0.7219, kb_relative_information_score: 2256.4719, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8617, predictive_accuracy: 0.8658, prior_entropy: 1.5466, recall: 0.8658, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.7201, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8795, kappa: 0.7535, kb_relative_information_score: 2299.0368, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8805, predictive_accuracy: 0.883, prior_entropy: 1.5466, recall: 0.883, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6384, scimark_benchmark: 942.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8903, kappa: 0.7787, kb_relative_information_score: 2445.3673, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8905, predictive_accuracy: 0.8949, prior_entropy: 1.5466, recall: 0.8949, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5631, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8795, kappa: 0.7535, kb_relative_information_score: 2299.0368, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8805, predictive_accuracy: 0.883, prior_entropy: 1.5466, recall: 0.883, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6384, scimark_benchmark: 938.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8588, kappa: 0.7163, kb_relative_information_score: 2206.2758, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8606, predictive_accuracy: 0.867, prior_entropy: 1.5466, recall: 0.867, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.6332, scimark_benchmark: 974.2014, usercpu_time_millis: 382490, usercpu_time_millis_testing: 169380, usercpu_time_millis_training: 213110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8624, kappa: 0.7219, kb_relative_information_score: 2256.4719, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8617, predictive_accuracy: 0.8658, prior_entropy: 1.5466, recall: 0.8658, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.7201, scimark_benchmark: 942.2392, usercpu_time_millis: 5350, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 5110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8903, kappa: 0.7787, kb_relative_information_score: 2445.3673, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8905, predictive_accuracy: 0.8949, prior_entropy: 1.5466, recall: 0.8949, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5631, scimark_benchmark: 934.695, usercpu_time_millis: 54160, usercpu_time_millis_training: 54160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8653, kappa: 0.7293, kb_relative_information_score: 2246.1298, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.871, predictive_accuracy: 0.8738, prior_entropy: 1.5466, recall: 0.8738, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.6129, scimark_benchmark: 897.0978, usercpu_time_millis: 908800, usercpu_time_millis_testing: 415810, usercpu_time_millis_training: 492990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.5602, kb_relative_information_score: -2.7443, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.4727, predictive_accuracy: 0.6875, prior_entropy: 1.5466, recall: 0.6875, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2883, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 198.773, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.9532, scimark_benchmark: 938.3115, usercpu_time_millis: 2710, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 198.773, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.9532, scimark_benchmark: 936.1714, usercpu_time_millis: 2540, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 198.773, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.9532, scimark_benchmark: 938.3115, usercpu_time_millis: 2660, usercpu_time_millis_training: 2660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 198.773, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.9532, scimark_benchmark: 940.0055, usercpu_time_millis: 2660, usercpu_time_millis_training: 2660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 249.3333, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.948, scimark_benchmark: 929.0296, usercpu_time_millis: 2630, usercpu_time_millis_training: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5602, kb_relative_information_score: 739.138, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.4727, predictive_accuracy: 0.6875, prior_entropy: 1.5466, recall: 0.6875, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.1196, scimark_benchmark: 922.8232, usercpu_time_millis: 360, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8644, kappa: 0.7259, kb_relative_information_score: 2264.3491, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8648, predictive_accuracy: 0.8705, prior_entropy: 1.5466, recall: 0.8705, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6267, scimark_benchmark: 926.5859, usercpu_time_millis: 94380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 94360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8571, kappa: 0.7134, kb_relative_information_score: 2152.313, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8593, predictive_accuracy: 0.8676, prior_entropy: 1.5466, recall: 0.8676, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.6411, scimark_benchmark: 942.6192, usercpu_time_millis: 569730, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 569670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.6595, kappa: 0.2756, kb_relative_information_score: 843.8635, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6805, predictive_accuracy: 0.7476, prior_entropy: 1.5466, recall: 0.7476, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.8474, scimark_benchmark: 933.0918, usercpu_time_millis: 1120, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8624, kappa: 0.7219, kb_relative_information_score: 2256.4719, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8617, predictive_accuracy: 0.8658, prior_entropy: 1.5466, recall: 0.8658, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.7201, scimark_benchmark: 907.1091, usercpu_time_millis: 5360, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8903, kappa: 0.7787, kb_relative_information_score: 2445.3673, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8905, predictive_accuracy: 0.8949, prior_entropy: 1.5466, recall: 0.8949, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5631, scimark_benchmark: 934.7585, usercpu_time_millis: 52940, usercpu_time_millis_training: 52940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8624, kappa: 0.7219, kb_relative_information_score: 2256.4719, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8617, predictive_accuracy: 0.8658, prior_entropy: 1.5466, recall: 0.8658, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.7201, scimark_benchmark: 945.988, usercpu_time_millis: 5610, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 5360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8624, kappa: 0.7219, kb_relative_information_score: 2256.4719, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8617, predictive_accuracy: 0.8658, prior_entropy: 1.5466, recall: 0.8658, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.7201, scimark_benchmark: 1353.0836, usercpu_time_millis: 3530, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 3350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8903, kappa: 0.7787, kb_relative_information_score: 2445.3673, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8905, predictive_accuracy: 0.8949, prior_entropy: 1.5466, recall: 0.8949, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5631, scimark_benchmark: 1299.6719, usercpu_time_millis: 37440, usercpu_time_millis_training: 37440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8624, kappa: 0.7219, kb_relative_information_score: 2256.4719, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8617, predictive_accuracy: 0.8658, prior_entropy: 1.5466, recall: 0.8658, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.7201, scimark_benchmark: 1308.6872, usercpu_time_millis: 3580, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 3390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8861, kappa: 0.7668, kb_relative_information_score: 2475.0417, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8875, predictive_accuracy: 0.8902, prior_entropy: 1.5466, recall: 0.8902, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6258, scimark_benchmark: 1341.5795, usercpu_time_millis: 479000, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 478330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8426, kappa: 0.6842, kb_relative_information_score: 2008.6498, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8407, predictive_accuracy: 0.8524, prior_entropy: 1.5466, recall: 0.8524, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.213, root_relative_squared_error: 0.739, scimark_benchmark: 1340.1351, usercpu_time_millis: 35920, usercpu_time_millis_training: 35920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9432, kappa: 0.8848, kb_relative_information_score: 2849.7021, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.9448, predictive_accuracy: 0.9446, prior_entropy: 1.5466, recall: 0.9446, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.4563, scimark_benchmark: 1327.2954, usercpu_time_millis: 1037170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1037160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 883.4292, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.873, scimark_benchmark: 1339.9935, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8725, kappa: 0.7461, kb_relative_information_score: 2266.069, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8917, predictive_accuracy: 0.8869, prior_entropy: 1.5466, recall: 0.8869, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5743, scimark_benchmark: 1309.4998, usercpu_time_millis: 79700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 79690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8718, kappa: 0.7478, kb_relative_information_score: 2169.3139, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8859, predictive_accuracy: 0.889, prior_entropy: 1.5466, recall: 0.889, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5789, scimark_benchmark: 1342.1678, usercpu_time_millis: 78640, usercpu_time_millis_testing: 3700, usercpu_time_millis_training: 74940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8673, kappa: 0.7395, kb_relative_information_score: 2155.4454, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8828, predictive_accuracy: 0.8857, prior_entropy: 1.5466, recall: 0.8857, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5847, scimark_benchmark: 1342.3004, usercpu_time_millis: 43780, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 42010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.7243, kappa: 0.4408, kb_relative_information_score: 1374.2901, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.7204, predictive_accuracy: 0.7292, prior_entropy: 1.5466, recall: 0.7292, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3005, root_relative_squared_error: 1.0423, scimark_benchmark: 833.3193, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5602, kb_relative_information_score: 739.138, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.4727, predictive_accuracy: 0.6875, prior_entropy: 1.5466, recall: 0.6875, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.1196, scimark_benchmark: 1335.5424, usercpu_time_millis: 8400, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 6970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.903, kappa: 0.7952, kb_relative_information_score: 2531.8943, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.9082, predictive_accuracy: 0.9012, prior_entropy: 1.5466, recall: 0.9012, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.6181, scimark_benchmark: 1305.601, usercpu_time_millis: 2303910, usercpu_time_millis_training: 2303910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.876, kappa: 0.7562, kb_relative_information_score: 2175.2594, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8898, predictive_accuracy: 0.8923, prior_entropy: 1.5466, recall: 0.8923, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.5764, scimark_benchmark: 1316.5986, usercpu_time_millis: 152730, usercpu_time_millis_testing: 7520, usercpu_time_millis_training: 145210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.7346, kappa: 0.5404, kb_relative_information_score: 1659.6843, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8184, predictive_accuracy: 0.7164, prior_entropy: 1.5466, recall: 0.7164, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2893, root_relative_squared_error: 1.0037, scimark_benchmark: 937.1527, usercpu_time_millis: 3920, usercpu_time_millis_testing: 2000, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 892.5194, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.8722, scimark_benchmark: 1339.4964, usercpu_time_millis: 357300, usercpu_time_millis_testing: 357300,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 198.773, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.9532, scimark_benchmark: 937.1527, usercpu_time_millis: 2180, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.5994, kappa: 0.0962, kb_relative_information_score: 826.979, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6429, predictive_accuracy: 0.6917, prior_entropy: 1.5466, recall: 0.6917, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9781, scimark_benchmark: 1318.1432, usercpu_time_millis: 2180, usercpu_time_millis_testing: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.6037, kappa: 0.1187, kb_relative_information_score: 922.6405, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6098, predictive_accuracy: 0.6848, prior_entropy: 1.5466, recall: 0.6848, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9986, scimark_benchmark: 854.5188, usercpu_time_millis: 2430, usercpu_time_millis_testing: 2420, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5602, kb_relative_information_score: -813.4332, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.4727, predictive_accuracy: 0.6875, prior_entropy: 1.5466, recall: 0.6875, relative_absolute_error: 1.4017, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3312, root_relative_squared_error: 1.1491, scimark_benchmark: 939.449, usercpu_time_millis: 5400, usercpu_time_millis_testing: 4060, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7829, kappa: 0.5468, kb_relative_information_score: -514.5782, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.7845, predictive_accuracy: 0.8006, prior_entropy: 1.5466, recall: 0.8006, relative_absolute_error: 1.3677, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3224, root_relative_squared_error: 1.1184, scimark_benchmark: 825.5282, usercpu_time_millis: 1090, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8845, kappa: 0.7649, kb_relative_information_score: 2477.226, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.885, predictive_accuracy: 0.8893, prior_entropy: 1.5466, recall: 0.8893, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.6223, scimark_benchmark: 930.5999, usercpu_time_millis: 128550, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 127850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.9093, kappa: 0.8163, kb_relative_information_score: 2602.2168, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.9129, predictive_accuracy: 0.9116, prior_entropy: 1.5466, recall: 0.9116, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5955, scimark_benchmark: 942.9708, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.6391, kappa: 0.1818, kb_relative_information_score: 1310.9631, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.7179, predictive_accuracy: 0.7262, prior_entropy: 1.5466, recall: 0.7262, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.7984, scimark_benchmark: 1327.8711, usercpu_time_millis: 4750, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 4590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.6484, kappa: 0.2813, kb_relative_information_score: 870.6682, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6422, predictive_accuracy: 0.656, prior_entropy: 1.5466, recall: 0.656, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3386, root_relative_squared_error: 1.1748, scimark_benchmark: 1316.0472, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8395, kappa: 0.678, kb_relative_information_score: 1935.5803, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8385, predictive_accuracy: 0.8506, prior_entropy: 1.5466, recall: 0.8506, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.7175, scimark_benchmark: 1307.3269, usercpu_time_millis: 4940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8292, kappa: 0.658, kb_relative_information_score: 1935.1868, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8263, predictive_accuracy: 0.8375, prior_entropy: 1.5466, recall: 0.8375, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7527, scimark_benchmark: 1359.379, usercpu_time_millis: 39640, usercpu_time_millis_training: 39640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7797, kappa: 0.5525, kb_relative_information_score: 1774.8849, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8173, predictive_accuracy: 0.8119, prior_entropy: 1.5466, recall: 0.8119, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8686, scimark_benchmark: 1353.6735, usercpu_time_millis: 27940, usercpu_time_millis_testing: 12350, usercpu_time_millis_training: 15590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7988, kappa: 0.5981, kb_relative_information_score: 1844.9787, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.7935, predictive_accuracy: 0.8077, prior_entropy: 1.5466, recall: 0.8077, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.8689, scimark_benchmark: 1418.5826, usercpu_time_millis: 19960, usercpu_time_millis_training: 19960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 1393.9047, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9525, scimark_benchmark: 1466.6185, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8578, kappa: 0.7116, kb_relative_information_score: 2278.4262, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8574, predictive_accuracy: 0.8595, prior_entropy: 1.5466, recall: 0.8595, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.7507, scimark_benchmark: 1336.9753, usercpu_time_millis: 38630, usercpu_time_millis_training: 38630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.5602, kb_relative_information_score: -2.7443, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.4727, predictive_accuracy: 0.6875, prior_entropy: 1.5466, recall: 0.6875, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2883, root_relative_squared_error: 1.0002, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7982, kappa: 0.6001, kb_relative_information_score: 1885.4501, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.7952, predictive_accuracy: 0.8057, prior_entropy: 1.5466, recall: 0.8057, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.245, root_relative_squared_error: 0.8497, scimark_benchmark: 1392.1129, usercpu_time_millis: 13420, usercpu_time_millis_training: 13420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, build_cpu_time: 518.829, build_memory: 3586612852.7095, f_measure: 0.8209, kappa: 0.6459, kb_relative_information_score: 2128.7248, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8308, predictive_accuracy: 0.8426, prior_entropy: 1.5466, recall: 0.8426, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.6678, scimark_benchmark: 943.7918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, build_cpu_time: 276.2311, build_memory: 2063983067.7262, f_measure: 0.82, kappa: 0.6429, kb_relative_information_score: 2112.5499, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1681, number_of_instances: 3360, precision: 0.8406, predictive_accuracy: 0.8417, prior_entropy: 1.5466, recall: 0.8417, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.677, scimark_benchmark: 937.7352,

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