Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, build_cpu_time: 0.0031, build_memory: 437727226.4276, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, build_cpu_time: 4.8615, build_memory: 441334060.3574, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 31.5882, build_memory: 430603106.2104, f_measure: 0.9795, kappa: 0.9132, kb_relative_information_score: 2668.1289, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9797, predictive_accuracy: 0.9799, prior_entropy: 0.5848, recall: 0.9799, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3881, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 51.6736, build_memory: 560214416.5636, f_measure: 0.9798, kappa: 0.9145, kb_relative_information_score: 2670.2566, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9801, predictive_accuracy: 0.9802, prior_entropy: 0.5848, recall: 0.9802, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.3877, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 26.2859, build_memory: 519227742.4776, f_measure: 0.9792, kappa: 0.9118, kb_relative_information_score: 2666.4507, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9794, predictive_accuracy: 0.9796, prior_entropy: 0.5848, recall: 0.9796, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.3889, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, build_cpu_time: 14.1015, build_memory: 536708383.0363, f_measure: 0.9773, kappa: 0.9039, kb_relative_information_score: 2648.4245, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.5848, recall: 0.9777, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.3975, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, build_cpu_time: 6.8241, build_memory: 462137640.2123, f_measure: 0.9774, kappa: 0.9045, kb_relative_information_score: 2634.3864, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.5848, recall: 0.9777, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4026, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, build_cpu_time: 0.8363, build_memory: 493151393.193, f_measure: 0.9629, kappa: 0.8452, kb_relative_information_score: 2637.2575, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9628, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.5547, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, build_cpu_time: 0.7644, build_memory: 474224056.4709, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2604.6557, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5529, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, build_cpu_time: 1.2824, build_memory: 637634209.5615, f_measure: 0.9167, kappa: 0.6223, kb_relative_information_score: 2007.3686, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9256, predictive_accuracy: 0.9259, prior_entropy: 0.5848, recall: 0.9259, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.7846, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, build_cpu_time: 67.6528, build_memory: 473104995.2498, f_measure: 0.9536, kappa: 0.8085, kb_relative_information_score: 2449.6658, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 0.5848, recall: 0.9533, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.6072, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9635, kappa: 0.8472, kb_relative_information_score: 2654.6239, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9633, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.5491, scimark_benchmark: 939.7623, usercpu_time_millis: 15840, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 15720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.957, kappa: 0.8115, kb_relative_information_score: 2586.7665, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9609, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5783, scimark_benchmark: 943.2817, usercpu_time_millis: 135390, usercpu_time_millis_testing: 31440, usercpu_time_millis_training: 103950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.4389, kappa: 0.0907, kb_relative_information_score: -7122.0628, mean_absolute_error: 0.6075, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8628, predictive_accuracy: 0.3925, prior_entropy: 0.5848, recall: 0.3925, relative_absolute_error: 2.5215, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.7794, root_relative_squared_error: 2.2464, scimark_benchmark: 930.32, usercpu_time_millis: 2830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8896, kappa: 0.487, kb_relative_information_score: 1253.0579, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9061, predictive_accuracy: 0.9067, prior_entropy: 0.5848, recall: 0.9067, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.7468, scimark_benchmark: 917.7039, usercpu_time_millis: 840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9746, kappa: 0.8928, kb_relative_information_score: 2661.8079, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4402, scimark_benchmark: 938.2848, usercpu_time_millis: 2886180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2886170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9702, kappa: 0.8743, kb_relative_information_score: 2625.9401, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4812, scimark_benchmark: 929.0255, usercpu_time_millis: 29710, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 29670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7953, kb_relative_information_score: 879.8917, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783, scimark_benchmark: 947.9494, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9529, kappa: 0.7936, kb_relative_information_score: 2190.6635, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.5467, scimark_benchmark: 943.6956, usercpu_time_millis: 12210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.9352, kappa: 0.7202, kb_relative_information_score: 1744.0303, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9353, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.6738, scimark_benchmark: 943.6956, usercpu_time_millis: 3310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9763, kappa: 0.9008, kb_relative_information_score: 2668.0126, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4115, scimark_benchmark: 943.2745, usercpu_time_millis: 7590, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 7480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9525, kappa: 0.7963, kb_relative_information_score: 2173.2041, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9529, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5697, scimark_benchmark: 938.9865, usercpu_time_millis: 14270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.9535, kappa: 0.8039, kb_relative_information_score: 2472.9927, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9532, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5884, scimark_benchmark: 938.9865, usercpu_time_millis: 107890, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 107810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9529, kappa: 0.7936, kb_relative_information_score: 2190.6635, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.5467, scimark_benchmark: 929.566, usercpu_time_millis: 12510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2364.0023, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.503, scimark_benchmark: 931.2336, usercpu_time_millis: 21760, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 21740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9739, kappa: 0.8896, kb_relative_information_score: 2676.7832, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4335, scimark_benchmark: 943.2817, usercpu_time_millis: 183660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 183650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.9014, kappa: 0.5538, kb_relative_information_score: 1762.3129, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9067, predictive_accuracy: 0.9122, prior_entropy: 0.5848, recall: 0.9122, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.8375, scimark_benchmark: 938.9865, usercpu_time_millis: 10300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.9087, kappa: 0.5883, kb_relative_information_score: 1872.6842, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9138, predictive_accuracy: 0.918, prior_entropy: 0.5848, recall: 0.918, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.8002, scimark_benchmark: 876.8277, usercpu_time_millis: 21090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 21070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9153, kappa: 0.6212, kb_relative_information_score: 1975.4792, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.919, predictive_accuracy: 0.9228, prior_entropy: 0.5848, recall: 0.9228, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.7751, scimark_benchmark: 938.4278, usercpu_time_millis: 42140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 42120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.9259, kappa: 0.6723, kb_relative_information_score: 2099.5305, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9284, predictive_accuracy: 0.9314, prior_entropy: 0.5848, recall: 0.9314, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7321, scimark_benchmark: 941.7954, usercpu_time_millis: 87290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 87260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9258, kappa: 0.6716, kb_relative_information_score: 2140.6356, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9285, predictive_accuracy: 0.9314, prior_entropy: 0.5848, recall: 0.9314, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.7145, scimark_benchmark: 943.2817, usercpu_time_millis: 162850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 162810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9637, kappa: 0.848, kb_relative_information_score: 2629.5205, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9635, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5045, scimark_benchmark: 936.6206, usercpu_time_millis: 467770, usercpu_time_millis_testing: 146080, usercpu_time_millis_training: 321690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9674, kappa: 0.8626, kb_relative_information_score: 2720.3528, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9674, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.4953, scimark_benchmark: 940.3346, usercpu_time_millis: 888080, usercpu_time_millis_testing: 285820, usercpu_time_millis_training: 602260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9688, kappa: 0.8673, kb_relative_information_score: 2755.2942, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.969, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.4861, scimark_benchmark: 940.2922, usercpu_time_millis: 441590, usercpu_time_millis_testing: 141940, usercpu_time_millis_training: 299650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9611, kappa: 0.8331, kb_relative_information_score: 2635.195, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9618, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.192, root_relative_squared_error: 0.5534, scimark_benchmark: 931.2336, usercpu_time_millis: 102630, usercpu_time_millis_testing: 35430, usercpu_time_millis_training: 67200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.971, kappa: 0.8769, kb_relative_information_score: 2639.3926, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.163, root_relative_squared_error: 0.4699, scimark_benchmark: 1360.2771, usercpu_time_millis: 8690, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 8600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9578, kappa: 0.8242, kb_relative_information_score: 2524.662, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9577, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5717, scimark_benchmark: 1361.803, usercpu_time_millis: 192610, usercpu_time_millis_testing: 4660, usercpu_time_millis_training: 187950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1248.2165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1241.5236, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9642, kappa: 0.8448, kb_relative_information_score: 2683.9534, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9662, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.5261, scimark_benchmark: 1230.3004, usercpu_time_millis: 3710, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 3010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2604.6557, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5529, scimark_benchmark: 1230.3004, usercpu_time_millis: 4430, usercpu_time_millis_testing: 3300, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8898, kappa: 0.5924, kb_relative_information_score: 1129.692, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9117, predictive_accuracy: 0.8798, prior_entropy: 0.5848, recall: 0.8798, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.9726, scimark_benchmark: 1230.3004, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2604.6557, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5529, scimark_benchmark: 1230.3004, usercpu_time_millis: 4040, usercpu_time_millis_testing: 3320, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.8876, kappa: 0.4833, kb_relative_information_score: 1018.5737, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8961, predictive_accuracy: 0.9027, prior_entropy: 0.5848, recall: 0.9027, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8521, scimark_benchmark: 479.2609, usercpu_time_millis: 6010, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 473.1656, usercpu_time_millis: 8790, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9702, kappa: 0.8743, kb_relative_information_score: 2625.9401, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4812, scimark_benchmark: 473.1656, usercpu_time_millis: 65880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 65850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.9533, kappa: 0.8074, kb_relative_information_score: 2449.0947, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9537, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.6076, scimark_benchmark: 1254.1389, usercpu_time_millis: 90520, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9629, kappa: 0.8437, kb_relative_information_score: 2646.9993, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9627, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.5461, scimark_benchmark: 473.1656, usercpu_time_millis: 249460, usercpu_time_millis_testing: 249450, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9652, kappa: 0.8503, kb_relative_information_score: 2709.8782, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9662, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.506, scimark_benchmark: 1228.6997, usercpu_time_millis: 5400, usercpu_time_millis_testing: 4590, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.969, kappa: 0.8708, kb_relative_information_score: 2492.6963, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9689, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.4732, scimark_benchmark: 1215.4211, usercpu_time_millis: 12420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 12390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9629, kappa: 0.8437, kb_relative_information_score: 2646.9993, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9627, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.5461, scimark_benchmark: 1235.1072, usercpu_time_millis: 54920, usercpu_time_millis_testing: 54910, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9721, kappa: 0.8836, kb_relative_information_score: 2694.7136, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.972, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4538, scimark_benchmark: 1251.3687, usercpu_time_millis: 29710, usercpu_time_millis_testing: 3700, usercpu_time_millis_training: 26010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9554, kappa: 0.8072, kb_relative_information_score: 2278.5893, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9565, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.184, root_relative_squared_error: 0.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9638, kappa: 0.8461, kb_relative_information_score: 2453.8885, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9638, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9633, kappa: 0.8437, kb_relative_information_score: 2404.615, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9635, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9623, kappa: 0.8392, kb_relative_information_score: 2361.7968, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9626, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9647, kappa: 0.8502, kb_relative_information_score: 2474.8429, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9648, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9644, kappa: 0.8487, kb_relative_information_score: 2477.35, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9645, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.4884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9689, kappa: 0.8675, kb_relative_information_score: 2605.2309, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9694, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9692, kappa: 0.8682, kb_relative_information_score: 2621.4927, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9698, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.956, kappa: 0.8096, kb_relative_information_score: 2283.8503, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9572, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9617, kappa: 0.8365, kb_relative_information_score: 2376.1024, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.962, predictive_accuracy: 0.9628, prior_entropy: 0.5848, recall: 0.9628, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9544, kappa: 0.8033, kb_relative_information_score: 2259.0099, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.185, root_relative_squared_error: 0.5331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.955, kappa: 0.8056, kb_relative_information_score: 2231.9401, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9562, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9544, kappa: 0.8033, kb_relative_information_score: 2269.7047, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9692, kappa: 0.8684, kb_relative_information_score: 2618.3217, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9698, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.4494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.955, kappa: 0.8056, kb_relative_information_score: 2232.1958, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9562, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5349,

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