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Supervised Classification on sonar

Supervised Classification on sonar

Task 1803 Supervised Classification sonar 346 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 1342.8584, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7218, kappa: 0.4406, kb_relative_information_score: 400.1118, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7218, predictive_accuracy: 0.7221, prior_entropy: 0.9968, recall: 0.7221, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8944, scimark_benchmark: 1339.3082, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1325.8927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7333, kappa: 0.4637, kb_relative_information_score: 407.1188, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7333, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8697, scimark_benchmark: 1360.6367, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 0.901, f_measure: 0.8019, kappa: 0.6015, kb_relative_information_score: 383.4689, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8042, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568, scimark_benchmark: 1397.3209, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 1347.1763, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7452, kappa: 0.4883, kb_relative_information_score: 468.0579, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7453, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9184, scimark_benchmark: 1317.7919, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7333, kappa: 0.4637, kb_relative_information_score: 407.1188, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7333, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8697, scimark_benchmark: 1310.3168, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7372, kappa: 0.4716, kb_relative_information_score: 465.1699, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7372, predictive_accuracy: 0.7375, prior_entropy: 0.9968, recall: 0.7375, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9138, scimark_benchmark: 1318.2298, usercpu_time_millis: 300, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7351, kappa: 0.4674, kb_relative_information_score: 323.3192, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7369, predictive_accuracy: 0.7365, prior_entropy: 0.9968, recall: 0.7365, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8403, scimark_benchmark: 918.0213, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, build_cpu_time: 0.0195, build_memory: 32171380, f_measure: 0.7482, kappa: 0.4938, kb_relative_information_score: 311.7003, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7514, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.841, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, build_cpu_time: 5.4199, build_memory: 35354520.8, f_measure: 0.7579, kappa: 0.513, kb_relative_information_score: 445.1176, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7587, predictive_accuracy: 0.7587, prior_entropy: 0.9968, recall: 0.7587, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8166, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0026, build_memory: 1093734443.2, f_measure: 0.7521, kappa: 0.5017, kb_relative_information_score: 314.6943, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7552, predictive_accuracy: 0.7538, prior_entropy: 0.9968, recall: 0.7538, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8361, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, build_cpu_time: 0.5248, build_memory: 72920927.2, f_measure: 0.7627, kappa: 0.5228, kb_relative_information_score: 540.2111, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 0.9968, recall: 0.7635, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9648, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, build_cpu_time: 3.0992, build_memory: 1017499530.4, f_measure: 0.7627, kappa: 0.5228, kb_relative_information_score: 448.5004, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 0.9968, recall: 0.7635, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8153, scimark_benchmark: 941.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, build_cpu_time: 1.5617, build_memory: 119295554.4, f_measure: 0.7551, kappa: 0.5074, kb_relative_information_score: 446.8661, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7557, predictive_accuracy: 0.7558, prior_entropy: 0.9968, recall: 0.7558, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8252, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, build_cpu_time: 0.8369, build_memory: 1196948912.8, f_measure: 0.7669, kappa: 0.5313, kb_relative_information_score: 515.2562, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7671, predictive_accuracy: 0.7673, prior_entropy: 0.9968, recall: 0.7673, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8511, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 0.0018, build_memory: 1030969052, f_measure: 0.7462, kappa: 0.4899, kb_relative_information_score: 310.8419, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7495, predictive_accuracy: 0.7481, prior_entropy: 0.9968, recall: 0.7481, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8492, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, build_cpu_time: 0.549, build_memory: 924823368.8, f_measure: 0.745, kappa: 0.4872, kb_relative_information_score: 518.3107, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7464, predictive_accuracy: 0.7462, prior_entropy: 0.9968, recall: 0.7462, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.943, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, build_cpu_time: 18.3921, build_memory: 15294009.6, f_measure: 0.8181, kappa: 0.6344, kb_relative_information_score: 666.3044, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8182, predictive_accuracy: 0.8183, prior_entropy: 0.9968, recall: 0.8183, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8214, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, build_cpu_time: 0.1178, build_memory: 339234032, f_measure: 0.7157, kappa: 0.4281, kb_relative_information_score: 439.3959, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7159, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0453, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, build_cpu_time: 0.0555, build_memory: 1900349643.2, f_measure: 0.6871, kappa: 0.3709, kb_relative_information_score: 380.032, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.687, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0773, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, build_cpu_time: 0.2735, build_memory: 211161921.6, f_measure: 0.7193, kappa: 0.4354, kb_relative_information_score: 452.986, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7199, predictive_accuracy: 0.7202, prior_entropy: 0.9968, recall: 0.7202, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0439, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, build_cpu_time: 0.002, build_memory: 1893998287.2, f_measure: 0.6878, kappa: 0.3735, kb_relative_information_score: 385.7482, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6884, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1206, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, build_cpu_time: 0.0288, build_memory: 568597740, f_measure: 0.6555, kappa: 0.3073, kb_relative_information_score: 305.7676, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6553, predictive_accuracy: 0.6558, prior_entropy: 0.9968, recall: 0.6558, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5528, root_relative_squared_error: 1.108, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, build_cpu_time: 0.0622, build_memory: 112896053.6, f_measure: 0.7917, kappa: 0.5813, kb_relative_information_score: 374.6811, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7958, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7678, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, build_cpu_time: 0.0604, build_memory: 1161785904, f_measure: 0.7917, kappa: 0.5813, kb_relative_information_score: 374.6811, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7958, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7678, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, build_cpu_time: 0.0016, build_memory: 454434528, f_measure: 0.6878, kappa: 0.3735, kb_relative_information_score: 385.7482, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6884, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1206, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, build_cpu_time: 0.0017, build_memory: 2325835808.8, f_measure: 0.6878, kappa: 0.3735, kb_relative_information_score: 385.7482, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6884, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1206, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, build_cpu_time: 0.0609, build_memory: 2165656293.6, f_measure: 0.7917, kappa: 0.5813, kb_relative_information_score: 374.6811, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7958, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7678, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, build_cpu_time: 0.0564, build_memory: 1114944844.8, f_measure: 0.7917, kappa: 0.5813, kb_relative_information_score: 374.6811, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7958, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7678, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, build_cpu_time: 0.0456, build_memory: 1389768950.4, f_measure: 0.7917, kappa: 0.5813, kb_relative_information_score: 374.6811, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7958, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7678, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7495, kappa: 0.4963, kb_relative_information_score: 491.3521, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7497, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8835, scimark_benchmark: 943.1756, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7583, kappa: 0.5139, kb_relative_information_score: 536.6366, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7584, predictive_accuracy: 0.7587, prior_entropy: 0.9968, recall: 0.7587, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8841, scimark_benchmark: 1442.7264, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.7198, kappa: 0.4365, kb_relative_information_score: 456.1991, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0585, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7991, kappa: 0.596, kb_relative_information_score: 555.8293, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8009, predictive_accuracy: 0.8, prior_entropy: 0.9968, recall: 0.8, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7584, scimark_benchmark: 854.5188, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7814, kappa: 0.5604, kb_relative_information_score: 571.6177, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7816, predictive_accuracy: 0.7817, prior_entropy: 0.9968, recall: 0.7817, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8903, scimark_benchmark: 854.5188, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.7029, kappa: 0.4031, kb_relative_information_score: 412.1102, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7029, predictive_accuracy: 0.7029, prior_entropy: 0.9968, recall: 0.7029, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0795, scimark_benchmark: 1466.6185, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 503.6148, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 1309.3173, usercpu_time_millis: 1180, usercpu_time_millis_training: 1180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7611, kappa: 0.5197, kb_relative_information_score: 540.7403, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7613, predictive_accuracy: 0.7615, prior_entropy: 0.9968, recall: 0.7615, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9789, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7555, kappa: 0.5084, kb_relative_information_score: 510.7728, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7555, predictive_accuracy: 0.7558, prior_entropy: 0.9968, recall: 0.7558, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9391, scimark_benchmark: 1322.4968, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, build_cpu_time: 0.1493, build_memory: 536043946.4, f_measure: 0.7699, kappa: 0.5373, kb_relative_information_score: 506.892, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.77, predictive_accuracy: 0.7702, prior_entropy: 0.9968, recall: 0.7702, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8327, scimark_benchmark: 904.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, build_cpu_time: 0.18, build_memory: 633256530.4, f_measure: 0.7699, kappa: 0.5373, kb_relative_information_score: 506.892, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.77, predictive_accuracy: 0.7702, prior_entropy: 0.9968, recall: 0.7702, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8327, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, build_cpu_time: 0.0356, build_memory: 809091041.6, f_measure: 0.5342, kappa: 0.2028, kb_relative_information_score: 168.3567, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.699, predictive_accuracy: 0.5837, prior_entropy: 0.9968, recall: 0.5837, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.2934, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, build_cpu_time: 0.088, build_memory: 598425893.6, f_measure: 0.8065, kappa: 0.611, kb_relative_information_score: 377.3999, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8095, predictive_accuracy: 0.8077, prior_entropy: 0.9968, recall: 0.8077, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7602, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, build_cpu_time: 0.1117, build_memory: 1946399975.2, f_measure: 0.7511, kappa: 0.4997, kb_relative_information_score: 326.062, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7543, predictive_accuracy: 0.7529, prior_entropy: 0.9968, recall: 0.7529, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8244, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, build_cpu_time: 0.1071, build_memory: 2297867445.6, f_measure: 0.7511, kappa: 0.4997, kb_relative_information_score: 326.062, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7543, predictive_accuracy: 0.7529, prior_entropy: 0.9968, recall: 0.7529, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8244, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, build_cpu_time: 0.0074, build_memory: 330984581.6, f_measure: 0.7714, kappa: 0.5419, kb_relative_information_score: 377.4318, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7728, predictive_accuracy: 0.7712, prior_entropy: 0.9968, recall: 0.7712, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, build_cpu_time: 0.0006, build_memory: 38395440, f_measure: 0.7147, kappa: 0.4283, kb_relative_information_score: 442.1089, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.716, predictive_accuracy: 0.7144, prior_entropy: 0.9968, recall: 0.7144, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.0712, scimark_benchmark: 946.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, build_cpu_time: 1.2013, build_memory: 2129293385.6, f_measure: 0.7724, kappa: 0.5422, kb_relative_information_score: 506.9455, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7732, predictive_accuracy: 0.7731, prior_entropy: 0.9968, recall: 0.7731, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8252, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, build_cpu_time: 0.2702, build_memory: 234247287.2, f_measure: 0.7569, kappa: 0.5118, kb_relative_information_score: 489.9437, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7571, predictive_accuracy: 0.7567, prior_entropy: 0.9968, recall: 0.7567, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8739, scimark_benchmark: 904.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, build_cpu_time: 0.2912, build_memory: 294457539.2, f_measure: 0.752, kappa: 0.5016, kb_relative_information_score: 324.9415, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7554, predictive_accuracy: 0.7538, prior_entropy: 0.9968, recall: 0.7538, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8188, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, build_cpu_time: 0.3383, build_memory: 385564732.8, f_measure: 0.7735, kappa: 0.5445, kb_relative_information_score: 506.0716, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7739, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8332, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, build_cpu_time: 76.0106, build_memory: 18232632.8, f_measure: 0.8306, kappa: 0.6596, kb_relative_information_score: 690.0275, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8307, predictive_accuracy: 0.8308, prior_entropy: 0.9968, recall: 0.8308, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.81, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, build_cpu_time: 34.7648, build_memory: 934200185.6, f_measure: 0.8277, kappa: 0.6536, kb_relative_information_score: 679.1099, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8278, predictive_accuracy: 0.8279, prior_entropy: 0.9968, recall: 0.8279, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8191, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, build_cpu_time: 1.5282, build_memory: 892257320, f_measure: 0.7773, kappa: 0.5521, kb_relative_information_score: 563.0123, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7779, predictive_accuracy: 0.7779, prior_entropy: 0.9968, recall: 0.7779, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9166, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, build_cpu_time: 22.5195, build_memory: 1314140858.4, f_measure: 0.7745, kappa: 0.5464, kb_relative_information_score: 566.1281, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9968, recall: 0.775, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.951, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, build_cpu_time: 0.0018, build_memory: 563436536.8, f_measure: 0.6824, kappa: 0.3767, kb_relative_information_score: 375.0229, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7016, predictive_accuracy: 0.6846, prior_entropy: 0.9968, recall: 0.6846, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5399, root_relative_squared_error: 1.0822, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, build_cpu_time: 0.0592, build_memory: 2680678990.4, f_measure: 0.7979, kappa: 0.5937, kb_relative_information_score: 375.9647, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8005, predictive_accuracy: 0.799, prior_entropy: 0.9968, recall: 0.799, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.763, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, build_cpu_time: 0.0416, build_memory: 2386188743.2, f_measure: 0.7979, kappa: 0.5937, kb_relative_information_score: 375.9647, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8005, predictive_accuracy: 0.799, prior_entropy: 0.9968, recall: 0.799, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.763, scimark_benchmark: 941.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, build_cpu_time: 0.0585, build_memory: 725652907.2, f_measure: 0.7518, kappa: 0.5009, kb_relative_information_score: 327.5718, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7532, predictive_accuracy: 0.7529, prior_entropy: 0.9968, recall: 0.7529, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8265, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, build_cpu_time: 0.019, build_memory: 511451108.8, f_measure: 0.8513, kappa: 0.7009, kb_relative_information_score: 719.9091, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8534, predictive_accuracy: 0.8519, prior_entropy: 0.9968, recall: 0.8519, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7643, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, build_cpu_time: 2.8853, build_memory: 713770613.6, f_measure: 0.7679, kappa: 0.5333, kb_relative_information_score: 554.2574, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7681, predictive_accuracy: 0.7683, prior_entropy: 0.9968, recall: 0.7683, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9436, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, build_cpu_time: 11.1734, build_memory: 2257031784.8, f_measure: 0.77, kappa: 0.5375, kb_relative_information_score: 557.4334, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.77, predictive_accuracy: 0.7702, prior_entropy: 0.9968, recall: 0.7702, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9557, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, build_cpu_time: 5.993, build_memory: 37686429.6, f_measure: 0.768, kappa: 0.5335, kb_relative_information_score: 556.0708, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.768, predictive_accuracy: 0.7683, prior_entropy: 0.9968, recall: 0.7683, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9527, scimark_benchmark: 886.6397,

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