Task
Supervised Classification on stock

Supervised Classification on stock

Task 4411 Supervised Classification stock 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, build_cpu_time: 1.3601, build_memory: 125719770.56, f_measure: 0.9655, kappa: 0.9309, kb_relative_information_score: 8842.8234, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9995, recall: 0.9655, relative_absolute_error: 0.0692, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3651, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 0.3618, build_memory: 571788825.12, f_measure: 0.9577, kappa: 0.9153, kb_relative_information_score: 8687.9519, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9995, recall: 0.9577, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.396, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 0.3796, build_memory: 298591425.76, f_measure: 0.9577, kappa: 0.9153, kb_relative_information_score: 8687.9519, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9995, recall: 0.9577, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.396, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, build_cpu_time: 0.7255, build_memory: 63520821.6, f_measure: 0.9634, kappa: 0.9267, kb_relative_information_score: 8807.5395, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9995, recall: 0.9634, relative_absolute_error: 0.0729, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3725, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, build_cpu_time: 3.3147, build_memory: 1098750605.04, f_measure: 0.9657, kappa: 0.9313, kb_relative_information_score: 8852.1964, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9995, recall: 0.9657, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3651, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, build_cpu_time: 5.6743, build_memory: 1401740390.96, f_measure: 0.9654, kappa: 0.9307, kb_relative_information_score: 8843.276, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.9995, recall: 0.9654, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3701, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 0.283, build_memory: 3291284432.16, f_measure: 0.9596, kappa: 0.9191, kb_relative_information_score: 8418.5857, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.9995, recall: 0.9596, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.346, scimark_benchmark: 934.6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 0.1204, build_memory: 1092601614.64, f_measure: 0.9584, kappa: 0.9168, kb_relative_information_score: 8419.8575, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 0.9995, recall: 0.9584, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3487, scimark_benchmark: 935.2909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 0.9438, build_memory: 1190904495.04, f_measure: 0.9594, kappa: 0.9187, kb_relative_information_score: 8416.6772, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9594, predictive_accuracy: 0.9594, prior_entropy: 0.9995, recall: 0.9594, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3434, scimark_benchmark: 948.0294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 0.4425, build_memory: 933877151.28, f_measure: 0.96, kappa: 0.92, kb_relative_information_score: 8417.0227, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.9995, recall: 0.96, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3447, scimark_benchmark: 904.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 2.6735, build_memory: 333281130.96, f_measure: 0.9639, kappa: 0.9277, kb_relative_information_score: 8363.5081, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.9995, recall: 0.9639, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3306, scimark_benchmark: 944.2238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 4.9495, build_memory: 97989888.96, f_measure: 0.9647, kappa: 0.9294, kb_relative_information_score: 8362.0215, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.9995, recall: 0.9647, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3297, scimark_benchmark: 926.0136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.959, kappa: 0.9179, kb_relative_information_score: 8653.4414, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.959, predictive_accuracy: 0.9589, prior_entropy: 0.9995, recall: 0.9589, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3679, scimark_benchmark: 929.0363, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1339.9935, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.953, kappa: 0.9058, kb_relative_information_score: 8485.567, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.953, predictive_accuracy: 0.9529, prior_entropy: 0.9995, recall: 0.9529, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3766, scimark_benchmark: 1337.5749, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8506.8902, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3064, scimark_benchmark: 1281.7531, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8374.8231, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4115, scimark_benchmark: 1344.4042, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8506.8902, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3064, scimark_benchmark: 1304.6687, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9579, kappa: 0.9157, kb_relative_information_score: 8479.7217, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.9995, recall: 0.9579, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.367, scimark_benchmark: 1372.2145, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9463, kappa: 0.8925, kb_relative_information_score: 8478.88, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9995, recall: 0.9463, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.4636, scimark_benchmark: 1341.2341, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.3486, kb_relative_information_score: -0.1161, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.2639, predictive_accuracy: 0.5137, prior_entropy: 0.9995, recall: 0.5137, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9461, kappa: 0.8921, kb_relative_information_score: 8082.7125, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9461, predictive_accuracy: 0.9461, prior_entropy: 0.9995, recall: 0.9461, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.399, scimark_benchmark: 1287.514, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9535, kappa: 0.9069, kb_relative_information_score: 8325.6071, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9535, predictive_accuracy: 0.9535, prior_entropy: 0.9995, recall: 0.9535, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3779, scimark_benchmark: 1384.4418, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9421, kappa: 0.8842, kb_relative_information_score: 8277.8516, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9423, predictive_accuracy: 0.9421, prior_entropy: 0.9995, recall: 0.9421, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4458, scimark_benchmark: 1330.0803, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9488, kappa: 0.8976, kb_relative_information_score: 8345.1011, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9488, predictive_accuracy: 0.9488, prior_entropy: 0.9995, recall: 0.9488, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4315, scimark_benchmark: 1319.6463, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6489, kappa: 0.3459, kb_relative_information_score: 3377.3919, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.7506, predictive_accuracy: 0.6781, prior_entropy: 0.9995, recall: 0.6781, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5674, root_relative_squared_error: 1.1351, scimark_benchmark: 1442.7264, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8572, kappa: 0.7141, kb_relative_information_score: 6783.0557, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8572, predictive_accuracy: 0.8572, prior_entropy: 0.9995, recall: 0.8572, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7562, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9503, kappa: 0.9006, kb_relative_information_score: 8554.9618, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 0.9995, recall: 0.9503, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.446, scimark_benchmark: 1280.6952, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 130.6411, build_memory: 179626361.44, f_measure: 0.9614, kappa: 0.9227, kb_relative_information_score: 8470.3622, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9995, recall: 0.9614, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3318, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9358, kappa: 0.8715, kb_relative_information_score: 7691.6593, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9359, predictive_accuracy: 0.9358, prior_entropy: 0.9995, recall: 0.9358, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1326.6565, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9421, kappa: 0.8841, kb_relative_information_score: 7867.7727, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9995, recall: 0.9421, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4055, scimark_benchmark: 1329.273, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9358, kappa: 0.8715, kb_relative_information_score: 7691.6593, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9359, predictive_accuracy: 0.9358, prior_entropy: 0.9995, recall: 0.9358, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1321.7236, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9537, kappa: 0.9073, kb_relative_information_score: 8374.6851, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9995, recall: 0.9537, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3749, scimark_benchmark: 1318.5627, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9519, kappa: 0.9038, kb_relative_information_score: 8450.9535, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 0.9995, recall: 0.9519, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4242, scimark_benchmark: 1445.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9409, kappa: 0.8818, kb_relative_information_score: 7809.6832, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.941, predictive_accuracy: 0.9409, prior_entropy: 0.9995, recall: 0.9409, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4208, scimark_benchmark: 937.1527, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.724, kappa: 0.451, kb_relative_information_score: 4264.3461, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.7297, predictive_accuracy: 0.7247, prior_entropy: 0.9995, recall: 0.7247, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0497, scimark_benchmark: 1315.395, usercpu_time_millis: 560, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8515, kappa: 0.7038, kb_relative_information_score: 6696.963, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8604, predictive_accuracy: 0.8526, prior_entropy: 0.9995, recall: 0.8526, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7681, scimark_benchmark: 1318.5526, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8303, kappa: 0.6602, kb_relative_information_score: 6272.5064, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8303, predictive_accuracy: 0.8303, prior_entropy: 0.9995, recall: 0.8303, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8242, scimark_benchmark: 889.3151, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1293.6566, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.8235, kappa: 0.6585, kb_relative_information_score: 4927.9215, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8719, predictive_accuracy: 0.8278, prior_entropy: 0.9995, recall: 0.8278, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7149, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9555, kappa: 0.911, kb_relative_information_score: 8655.0695, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.956, predictive_accuracy: 0.9556, prior_entropy: 0.9995, recall: 0.9556, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4217, scimark_benchmark: 1344.7246, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7053, kappa: 0.4122, kb_relative_information_score: 4086.3049, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.7081, predictive_accuracy: 0.7056, prior_entropy: 0.9995, recall: 0.7056, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9862, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9519, kappa: 0.9038, kb_relative_information_score: 8451.0695, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 0.9995, recall: 0.9519, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4257, scimark_benchmark: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9488, kappa: 0.8976, kb_relative_information_score: 8360.2224, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9488, predictive_accuracy: 0.9488, prior_entropy: 0.9995, recall: 0.9488, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4315, scimark_benchmark: 1330.7266, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8506.8902, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3064, scimark_benchmark: 1331.2559, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.849, kappa: 0.6978, kb_relative_information_score: 5813.9807, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8496, predictive_accuracy: 0.8492, prior_entropy: 0.9995, recall: 0.8492, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6463, scimark_benchmark: 1276.5165, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8635, kappa: 0.7271, kb_relative_information_score: 6913.1957, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8668, predictive_accuracy: 0.864, prior_entropy: 0.9995, recall: 0.864, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7378, scimark_benchmark: 1297.6356, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9409, kappa: 0.8818, kb_relative_information_score: 8376.7701, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.941, predictive_accuracy: 0.9409, prior_entropy: 0.9995, recall: 0.9409, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4862, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.3486, kb_relative_information_score: -0.1161, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.2639, predictive_accuracy: 0.5137, prior_entropy: 0.9995, recall: 0.5137, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1, scimark_benchmark: 1419.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.923, kappa: 0.8458, kb_relative_information_score: 7891.7293, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.923, predictive_accuracy: 0.9229, prior_entropy: 0.9995, recall: 0.9229, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5245, scimark_benchmark: 1292.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1312.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.923, kappa: 0.8458, kb_relative_information_score: 7891.7293, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.923, predictive_accuracy: 0.9229, prior_entropy: 0.9995, recall: 0.9229, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5245, scimark_benchmark: 1334.9657, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9632, kappa: 0.9263, kb_relative_information_score: 8313.6555, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9995, recall: 0.9632, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3374, scimark_benchmark: 935.3212, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9255, kappa: 0.8509, kb_relative_information_score: 7025.5118, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.926, predictive_accuracy: 0.9256, prior_entropy: 0.9995, recall: 0.9256, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4734, scimark_benchmark: 926.5462, usercpu_time_millis: 10510, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8506.8902, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3064, scimark_benchmark: 936.3213, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9689, kappa: 0.9378, kb_relative_information_score: 8336.3674, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 0.9995, recall: 0.9689, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3229, scimark_benchmark: 859.5223, usercpu_time_millis: 1690, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9689, kappa: 0.9378, kb_relative_information_score: 8341.2366, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 0.9995, recall: 0.9689, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3209, scimark_benchmark: 901.4991, usercpu_time_millis: 4720, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 2670,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs