Task
Supervised Classification on tr41.wc

Supervised Classification on tr41.wc

Task 4240 Supervised Classification tr41.wc 90 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9271, kappa: 0.9118, kb_relative_information_score: 7831.8196, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9275, predictive_accuracy: 0.9272, prior_entropy: 2.8041, recall: 0.9272, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.116, root_relative_squared_error: 0.404, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8935, kappa: 0.8833, kb_relative_information_score: 7471.4609, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.8932, predictive_accuracy: 0.9048, prior_entropy: 2.8041, recall: 0.9048, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.402, scimark_benchmark: 934.3687, usercpu_time_millis: 276630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 276620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9368, kappa: 0.9241, kb_relative_information_score: 7904.137, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9381, predictive_accuracy: 0.9375, prior_entropy: 2.8041, recall: 0.9375, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.3407, scimark_benchmark: 927.7147, usercpu_time_millis: 2255830, usercpu_time_millis_testing: 1029700, usercpu_time_millis_training: 1226130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9115, kappa: 0.8936, kb_relative_information_score: 7440.0836, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.912, predictive_accuracy: 0.9125, prior_entropy: 2.8041, recall: 0.9125, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.4208, scimark_benchmark: 934.7083, usercpu_time_millis: 8215270, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 8215160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9355, kappa: 0.9226, kb_relative_information_score: 7893.0654, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9364, predictive_accuracy: 0.9362, prior_entropy: 2.8041, recall: 0.9362, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.3497, scimark_benchmark: 974.2014, usercpu_time_millis: 1117460, usercpu_time_millis_testing: 454440, usercpu_time_millis_training: 663020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9271, kappa: 0.9118, kb_relative_information_score: 7831.8196, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9275, predictive_accuracy: 0.9272, prior_entropy: 2.8041, recall: 0.9272, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.116, root_relative_squared_error: 0.404, scimark_benchmark: 942.2392, usercpu_time_millis: 16960, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 16400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8935, kappa: 0.8833, kb_relative_information_score: 7471.4609, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.8932, predictive_accuracy: 0.9048, prior_entropy: 2.8041, recall: 0.9048, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.402, scimark_benchmark: 944.0133, usercpu_time_millis: 280660, usercpu_time_millis_training: 280660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4865, f_measure: 0.12, kb_relative_information_score: 7.0283, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.0766, predictive_accuracy: 0.2768, prior_entropy: 2.8041, recall: 0.2768, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2872, root_relative_squared_error: 1, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.2942, kappa: 0.2738, kb_relative_information_score: 2133.3806, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.2185, predictive_accuracy: 0.4541, prior_entropy: 2.8041, recall: 0.4541, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8885, scimark_benchmark: 936.1714, usercpu_time_millis: 3760, usercpu_time_millis_training: 3760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.2942, kappa: 0.2738, kb_relative_information_score: 2133.3806, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.2185, predictive_accuracy: 0.4541, prior_entropy: 2.8041, recall: 0.4541, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8885, scimark_benchmark: 941.9549, usercpu_time_millis: 4170, usercpu_time_millis_training: 4170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.2942, kappa: 0.2738, kb_relative_information_score: 2133.3806, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.2185, predictive_accuracy: 0.4541, prior_entropy: 2.8041, recall: 0.4541, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8885, scimark_benchmark: 938.3115, usercpu_time_millis: 3980, usercpu_time_millis_training: 3980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.2942, kappa: 0.2738, kb_relative_information_score: 2133.3806, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.2185, predictive_accuracy: 0.4541, prior_entropy: 2.8041, recall: 0.4541, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8885, scimark_benchmark: 938.3115, usercpu_time_millis: 3980, usercpu_time_millis_training: 3980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.2942, kappa: 0.2738, kb_relative_information_score: 2133.3806, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.2185, predictive_accuracy: 0.4541, prior_entropy: 2.8041, recall: 0.4541, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8885, scimark_benchmark: 940.0055, usercpu_time_millis: 3850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.945, kappa: 0.9344, kb_relative_information_score: 7815.0403, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9468, predictive_accuracy: 0.946, prior_entropy: 2.8041, recall: 0.946, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.3385, scimark_benchmark: 926.4745, usercpu_time_millis: 447040, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 446880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.12, kb_relative_information_score: 1130.4334, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.0766, predictive_accuracy: 0.2768, prior_entropy: 2.8041, recall: 0.2768, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.3241, scimark_benchmark: 922.8232, usercpu_time_millis: 760, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.5074, kappa: 0.485, kb_relative_information_score: 2497.5792, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.462, predictive_accuracy: 0.5967, prior_entropy: 2.8041, recall: 0.5967, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.8254, scimark_benchmark: 933.0918, usercpu_time_millis: 3210, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9271, kappa: 0.9118, kb_relative_information_score: 7831.8196, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9275, predictive_accuracy: 0.9272, prior_entropy: 2.8041, recall: 0.9272, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.116, root_relative_squared_error: 0.404, scimark_benchmark: 907.1091, usercpu_time_millis: 14700, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 14160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8935, kappa: 0.8833, kb_relative_information_score: 7471.4609, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.8932, predictive_accuracy: 0.9048, prior_entropy: 2.8041, recall: 0.9048, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.402, scimark_benchmark: 906.0884, usercpu_time_millis: 266080, usercpu_time_millis_training: 266080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.3272, kappa: 0.1924, kb_relative_information_score: 2090.9337, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.7896, predictive_accuracy: 0.2568, prior_entropy: 2.8041, recall: 0.2568, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9817, scimark_benchmark: 912.5534, usercpu_time_millis: 1901610, usercpu_time_millis_testing: 1901610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9271, kappa: 0.9118, kb_relative_information_score: 7831.8196, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9275, predictive_accuracy: 0.9272, prior_entropy: 2.8041, recall: 0.9272, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.116, root_relative_squared_error: 0.404, scimark_benchmark: 901.8743, usercpu_time_millis: 16930, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 16430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9271, kappa: 0.9118, kb_relative_information_score: 7831.8196, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9275, predictive_accuracy: 0.9272, prior_entropy: 2.8041, recall: 0.9272, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.116, root_relative_squared_error: 0.404, scimark_benchmark: 1322.5413, usercpu_time_millis: 11950, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 11490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9507, kappa: 0.9406, kb_relative_information_score: 8196.9515, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9507, predictive_accuracy: 0.951, prior_entropy: 2.8041, recall: 0.951, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.3161, scimark_benchmark: 1349.1517, usercpu_time_millis: 997590, usercpu_time_millis_testing: 2350, usercpu_time_millis_training: 995240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.3114, kappa: 0.2737, kb_relative_information_score: 2226.7883, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.2459, predictive_accuracy: 0.4599, prior_entropy: 2.8041, recall: 0.4599, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.253, root_relative_squared_error: 0.8807, scimark_benchmark: 1337.1928, usercpu_time_millis: 2903740, usercpu_time_millis_testing: 2903740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8935, kappa: 0.8833, kb_relative_information_score: 7471.4609, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.8932, predictive_accuracy: 0.9048, prior_entropy: 2.8041, recall: 0.9048, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.402, scimark_benchmark: 1307.9497, usercpu_time_millis: 172070, usercpu_time_millis_training: 172070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.2132, kappa: 0.1816, kb_relative_information_score: 1946.3651, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.8169, predictive_accuracy: 0.2139, prior_entropy: 2.8041, recall: 0.2139, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.3965, root_relative_squared_error: 1.3804, scimark_benchmark: 1306.5596, usercpu_time_millis: 53070, usercpu_time_millis_testing: 22980, usercpu_time_millis_training: 30090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8809, kappa: 0.856, kb_relative_information_score: 5951.9296, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.8902, predictive_accuracy: 0.882, prior_entropy: 2.8041, recall: 0.882, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5579, scimark_benchmark: 1327.5791, usercpu_time_millis: 413950, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 413560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9338, kappa: 0.9201, kb_relative_information_score: 7912.3268, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9342, predictive_accuracy: 0.9342, prior_entropy: 2.8041, recall: 0.9342, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.3839, scimark_benchmark: 1337.5749, usercpu_time_millis: 105400, usercpu_time_millis_training: 105400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8935, kappa: 0.8833, kb_relative_information_score: 7471.4609, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.8932, predictive_accuracy: 0.9048, prior_entropy: 2.8041, recall: 0.9048, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.402, scimark_benchmark: 1345.3152, usercpu_time_millis: 180910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9758, kappa: 0.9714, kb_relative_information_score: 8468.5016, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 2.8041, recall: 0.9764, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2227, scimark_benchmark: 1345.3152, usercpu_time_millis: 4474220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4474210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9355, kappa: 0.9272, kb_relative_information_score: 7823.9494, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9425, predictive_accuracy: 0.9402, prior_entropy: 2.8041, recall: 0.9402, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3424, scimark_benchmark: 889.3151, usercpu_time_millis: 2238910, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2238800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9355, kappa: 0.9272, kb_relative_information_score: 7823.9494, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9425, predictive_accuracy: 0.9402, prior_entropy: 2.8041, recall: 0.9402, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3424, scimark_benchmark: 892.0148, usercpu_time_millis: 2887910, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2887810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9758, kappa: 0.9714, kb_relative_information_score: 8468.5016, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 2.8041, recall: 0.9764, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2227, scimark_benchmark: 1501.4698, usercpu_time_millis: 4153620, usercpu_time_millis_training: 4153620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9486, kappa: 0.9422, kb_relative_information_score: 7351.0106, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.954, predictive_accuracy: 0.9526, prior_entropy: 2.8041, recall: 0.9526, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3782, scimark_benchmark: 1151.6869, usercpu_time_millis: 265450, usercpu_time_millis_testing: 7860, usercpu_time_millis_training: 257590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9466, kappa: 0.9394, kb_relative_information_score: 7334.6549, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9514, predictive_accuracy: 0.9503, prior_entropy: 2.8041, recall: 0.9503, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3845, scimark_benchmark: 1323.6234, usercpu_time_millis: 155480, usercpu_time_millis_testing: 3710, usercpu_time_millis_training: 151770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.6812, kappa: 0.6163, kb_relative_information_score: 5422.0593, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.6787, predictive_accuracy: 0.6854, prior_entropy: 2.8041, recall: 0.6854, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.8733, scimark_benchmark: 950.6776, usercpu_time_millis: 2710, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9752, kappa: 0.9708, kb_relative_information_score: 8467.5896, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 2.8041, recall: 0.976, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2182, scimark_benchmark: 1342.3004, usercpu_time_millis: 1642200, usercpu_time_millis_training: 1642200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.2942, kappa: 0.2738, kb_relative_information_score: 2133.3806, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.2185, predictive_accuracy: 0.4541, prior_entropy: 2.8041, recall: 0.4541, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8885, scimark_benchmark: 916.6405, usercpu_time_millis: 3590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.2942, kappa: 0.2738, kb_relative_information_score: 2133.3806, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.2185, predictive_accuracy: 0.4541, prior_entropy: 2.8041, recall: 0.4541, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8885, scimark_benchmark: 876.0664, usercpu_time_millis: 3830, usercpu_time_millis_training: 3830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.554, kappa: 0.4667, kb_relative_information_score: 3828.9788, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.5759, predictive_accuracy: 0.5664, prior_entropy: 2.8041, recall: 0.5664, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.857, scimark_benchmark: 915.9324, usercpu_time_millis: 7320, usercpu_time_millis_testing: 7320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.5665, kappa: 0.4885, kb_relative_information_score: 4088.5267, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.5963, predictive_accuracy: 0.5819, prior_entropy: 2.8041, recall: 0.5819, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.876, scimark_benchmark: 1325.2092, usercpu_time_millis: 5690, usercpu_time_millis_testing: 5680, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.5928, kappa: 0.5442, kb_relative_information_score: 1104.6009, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.7161, predictive_accuracy: 0.6487, prior_entropy: 2.8041, recall: 0.6487, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9739, scimark_benchmark: 1315.395, usercpu_time_millis: 21880, usercpu_time_millis_testing: 18770, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9514, kappa: 0.9414, kb_relative_information_score: 8203.6987, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9514, predictive_accuracy: 0.9517, prior_entropy: 2.8041, recall: 0.9517, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3136, scimark_benchmark: 916.5769, usercpu_time_millis: 337900, usercpu_time_millis_testing: 2430, usercpu_time_millis_training: 335470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8752, kappa: 0.8498, kb_relative_information_score: 1594.5111, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.8801, predictive_accuracy: 0.8774, prior_entropy: 2.8041, recall: 0.8774, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.955, scimark_benchmark: 1318.5526, usercpu_time_millis: 3700, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9653, kappa: 0.9588, kb_relative_information_score: 8334.5657, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9663, predictive_accuracy: 0.9661, prior_entropy: 2.8041, recall: 0.9661, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.2868, scimark_benchmark: 942.9518, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.8575, kappa: 0.8447, kb_relative_information_score: 5373.968, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.8873, predictive_accuracy: 0.8747, prior_entropy: 2.8041, recall: 0.8747, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.6363, scimark_benchmark: 1341.5768, usercpu_time_millis: 15160, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 14710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.5571, kappa: 0.4625, kb_relative_information_score: 4198.9702, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.5567, predictive_accuracy: 0.558, prior_entropy: 2.8041, recall: 0.558, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2973, root_relative_squared_error: 1.0351, scimark_benchmark: 1301.9956, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9146, kappa: 0.8994, kb_relative_information_score: 7596.1765, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9159, predictive_accuracy: 0.9173, prior_entropy: 2.8041, recall: 0.9173, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.4187, scimark_benchmark: 1280.6952, usercpu_time_millis: 14350, usercpu_time_millis_training: 14350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9353, kappa: 0.9224, kb_relative_information_score: 7858.4083, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9357, predictive_accuracy: 0.9362, prior_entropy: 2.8041, recall: 0.9362, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.3722, scimark_benchmark: 1372.2145, usercpu_time_millis: 103650, usercpu_time_millis_training: 103650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.8155, kb_relative_information_score: 7108.1158, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.8491, predictive_accuracy: 0.8487, prior_entropy: 2.8041, recall: 0.8487, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.6055, scimark_benchmark: 1324.8395, usercpu_time_millis: 89220, usercpu_time_millis_testing: 36090, usercpu_time_millis_training: 53130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.0147, kappa: 0.0057, kb_relative_information_score: -355.9918, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.5567, predictive_accuracy: 0.0362, prior_entropy: 2.8041, recall: 0.0362, relative_absolute_error: 1.167, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.439, root_relative_squared_error: 1.5285, scimark_benchmark: 1304.6687, usercpu_time_millis: 127670, usercpu_time_millis_testing: 23640, usercpu_time_millis_training: 104030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9165, kappa: 0.8997, kb_relative_information_score: 7735.2688, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9166, predictive_accuracy: 0.9173, prior_entropy: 2.8041, recall: 0.9173, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.4429, scimark_benchmark: 1330.0803, usercpu_time_millis: 38460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 38450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9001, kappa: 0.8819, kb_relative_information_score: 7621.3834, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9024, predictive_accuracy: 0.903, prior_entropy: 2.8041, recall: 0.903, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.485, scimark_benchmark: 1337.446, usercpu_time_millis: 1121040, usercpu_time_millis_training: 1121040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.3333, kappa: 0.2766, kb_relative_information_score: 2706.244, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.2893, predictive_accuracy: 0.4658, prior_entropy: 2.8041, recall: 0.4658, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.3269, root_relative_squared_error: 1.1379, scimark_benchmark: 1465.2979, usercpu_time_millis: 1670, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4865, f_measure: 0.12, kb_relative_information_score: 7.0283, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.0766, predictive_accuracy: 0.2768, prior_entropy: 2.8041, recall: 0.2768, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2872, root_relative_squared_error: 1, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9177, kappa: 0.9006, kb_relative_information_score: 7754.3374, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9183, predictive_accuracy: 0.9181, prior_entropy: 2.8041, recall: 0.9181, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.4332, scimark_benchmark: 1358.4955, usercpu_time_millis: 29050, usercpu_time_millis_training: 29050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 547.2114, build_memory: 60597291.9353, f_measure: 0.9302, kappa: 0.9164, kb_relative_information_score: 7953.8412, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.1652, number_of_instances: 8780, precision: 0.9329, predictive_accuracy: 0.9312, prior_entropy: 2.8041, recall: 0.9312, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.3578, scimark_benchmark: 897.5929,

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