Task
Supervised Classification on KDDCup09_upselling

Supervised Classification on KDDCup09_upselling

Task 4653 Supervised Classification KDDCup09_upselling 72 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, build_cpu_time: 900.6441, build_memory: 1766208348.72, f_measure: 0.9436, kappa: 0.5415, kb_relative_information_score: 246429.1058, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.945, predictive_accuracy: 0.9504, prior_entropy: 0.3794, recall: 0.9504, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.8507, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, build_cpu_time: 1839.5414, build_memory: 1583746630.8, f_measure: 0.9436, kappa: 0.5413, kb_relative_information_score: 246255.2118, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9451, predictive_accuracy: 0.9504, prior_entropy: 0.3794, recall: 0.9504, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.222, root_relative_squared_error: 0.8499, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.8665, kappa: 0.0286, kb_relative_information_score: -186817.1235, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8675, predictive_accuracy: 0.8655, prior_entropy: 0.3794, recall: 0.8655, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3668, root_relative_squared_error: 1.4044, scimark_benchmark: 1326.8946, usercpu_time_millis: 6036080, usercpu_time_millis_testing: 6035980, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.94, kappa: 0.5064, kb_relative_information_score: 78571.0423, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9421, predictive_accuracy: 0.948, prior_entropy: 0.3794, recall: 0.948, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.8355, scimark_benchmark: 1341.2341, usercpu_time_millis: 93680, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 93430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.9435, kappa: 0.5411, kb_relative_information_score: -892402.7924, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9447, predictive_accuracy: 0.9502, prior_entropy: 0.3794, recall: 0.9502, relative_absolute_error: 1.3034, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.9268, scimark_benchmark: 1348.2476, usercpu_time_millis: 76390, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 76310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8909, kb_relative_information_score: -3104818.9823, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8581, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 3.6644, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.5, root_relative_squared_error: 1.9144, scimark_benchmark: 940.3347, usercpu_time_millis: 47738800, usercpu_time_millis_testing: 47738790, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.9435, kappa: 0.54, kb_relative_information_score: 61185.5163, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9452, predictive_accuracy: 0.9504, prior_entropy: 0.3794, recall: 0.9504, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8089, scimark_benchmark: 916.6405, usercpu_time_millis: 295510, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 295260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8909, kb_relative_information_score: -99.0886, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8581, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1, scimark_benchmark: 1330.0803, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.9415, kappa: 0.5212, kb_relative_information_score: 78002.2563, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9432, predictive_accuracy: 0.9489, prior_entropy: 0.3794, recall: 0.9489, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.8354, scimark_benchmark: 1341.2341, usercpu_time_millis: 552940, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 552890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.9429, kappa: 0.5371, kb_relative_information_score: 78301.1213, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9439, predictive_accuracy: 0.9496, prior_entropy: 0.3794, recall: 0.9496, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.813, scimark_benchmark: 943.1756, usercpu_time_millis: 92690, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 92590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.9434, kappa: 0.5387, kb_relative_information_score: 61338.546, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9449, predictive_accuracy: 0.9503, prior_entropy: 0.3794, recall: 0.9503, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8098, scimark_benchmark: 1318.1432, usercpu_time_millis: 131360, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 131190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.9371, kappa: 0.4748, kb_relative_information_score: 228694.8355, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9413, predictive_accuracy: 0.9469, prior_entropy: 0.3794, recall: 0.9469, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.8826, scimark_benchmark: 1384.4418, usercpu_time_millis: 151730, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 151620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.8872, kappa: 0.0069, kb_relative_information_score: 62906.5643, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8653, predictive_accuracy: 0.9144, prior_entropy: 0.3794, recall: 0.9144, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2926, root_relative_squared_error: 1.1203, scimark_benchmark: 1465.2979, usercpu_time_millis: 2200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, build_cpu_time: 3467.3891, build_memory: 1479727834.4, f_measure: 0.9436, kappa: 0.5414, kb_relative_information_score: 246617.019, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9451, predictive_accuracy: 0.9504, prior_entropy: 0.3794, recall: 0.9504, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.222, root_relative_squared_error: 0.8499, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, build_cpu_time: 6484.1395, build_memory: 1597234671.76, f_measure: 0.9437, kappa: 0.5416, kb_relative_information_score: 246717.6397, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9452, predictive_accuracy: 0.9505, prior_entropy: 0.3794, recall: 0.9505, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.8486, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.9354, kappa: 0.4575, kb_relative_information_score: 217576.7525, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9408, predictive_accuracy: 0.9461, prior_entropy: 0.3794, recall: 0.9461, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.8545, scimark_benchmark: 1354.7191, usercpu_time_millis: 9918850, usercpu_time_millis_testing: 5780, usercpu_time_millis_training: 9913070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.935, kappa: 0.5038, kb_relative_information_score: 104658.5582, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9331, predictive_accuracy: 0.9378, prior_entropy: 0.3794, recall: 0.9378, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.8608, scimark_benchmark: 1371.9645, usercpu_time_millis: 2410, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.9435, kappa: 0.5411, kb_relative_information_score: -892402.7924, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9447, predictive_accuracy: 0.9502, prior_entropy: 0.3794, recall: 0.9502, relative_absolute_error: 1.3034, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.9268, scimark_benchmark: 1278.6629, usercpu_time_millis: 44770, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 44710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.8313, kappa: 0.1511, kb_relative_information_score: -696663.6638, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8921, predictive_accuracy: 0.7899, prior_entropy: 0.3794, recall: 0.7899, relative_absolute_error: 1.5715, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.4247, root_relative_squared_error: 1.6259, scimark_benchmark: 1413.089, usercpu_time_millis: 4860, usercpu_time_millis_testing: 2040, usercpu_time_millis_training: 2820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8909, kb_relative_information_score: -99.0886, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8581, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1, scimark_benchmark: 1345.7204, usercpu_time_millis: 18090, usercpu_time_millis_testing: 18070, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.9435, kappa: 0.5411, kb_relative_information_score: -892402.7924, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9447, predictive_accuracy: 0.9502, prior_entropy: 0.3794, recall: 0.9502, relative_absolute_error: 1.3034, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.9268, scimark_benchmark: 1346.3935, usercpu_time_millis: 54790, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 54720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.8909, kappa: -0, kb_relative_information_score: -218861.2454, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8581, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.026, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.1006, scimark_benchmark: 1308.3432, usercpu_time_millis: 360, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.9438, kappa: 0.5426, kb_relative_information_score: 59410.7583, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9455, predictive_accuracy: 0.9506, prior_entropy: 0.3794, recall: 0.9506, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8065, scimark_benchmark: 1307.3764, usercpu_time_millis: 278900, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 278840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.9421, kappa: 0.525, kb_relative_information_score: 157380.0203, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9444, predictive_accuracy: 0.9497, prior_entropy: 0.3794, recall: 0.9497, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.83, scimark_benchmark: 1301.7387, usercpu_time_millis: 41400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 41360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.9435, kappa: 0.5393, kb_relative_information_score: 60257.1143, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9452, predictive_accuracy: 0.9504, prior_entropy: 0.3794, recall: 0.9504, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8083, scimark_benchmark: 765.566, usercpu_time_millis: 282900, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 282640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.8095, kappa: 0.0204, kb_relative_information_score: -715818.197, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8673, predictive_accuracy: 0.7644, prior_entropy: 0.3794, recall: 0.7644, relative_absolute_error: 1.4071, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3682, root_relative_squared_error: 1.4098, scimark_benchmark: 940.0008, usercpu_time_millis: 2200, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.7218, kappa: 0.0892, kb_relative_information_score: -1579361.1032, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8939, predictive_accuracy: 0.6346, prior_entropy: 0.3794, recall: 0.6346, relative_absolute_error: 2.698, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.5555, root_relative_squared_error: 2.1269, scimark_benchmark: 1368.9272, usercpu_time_millis: 3250, usercpu_time_millis_testing: 1580, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.9441, kappa: 0.5445, kb_relative_information_score: 90078.8293, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9459, predictive_accuracy: 0.9509, prior_entropy: 0.3794, recall: 0.9509, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8081, scimark_benchmark: 925.4974, usercpu_time_millis: 35150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 35080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5577, f_measure: 0.8907, kappa: 0.0106, kb_relative_information_score: -452826.0945, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8701, predictive_accuracy: 0.9229, prior_entropy: 0.3794, recall: 0.9229, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0741, scimark_benchmark: 944.5495, usercpu_time_millis: 10882640, usercpu_time_millis_testing: 10882620, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.8874, kappa: 0.0205, kb_relative_information_score: -394974.5084, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8681, predictive_accuracy: 0.9123, prior_entropy: 0.3794, recall: 0.9123, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.1356, scimark_benchmark: 938.0414, usercpu_time_millis: 10913310, usercpu_time_millis_testing: 10913300, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9416, kappa: 0.5351, kb_relative_information_score: 112841.0332, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9407, predictive_accuracy: 0.947, prior_entropy: 0.3794, recall: 0.947, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8244, scimark_benchmark: 1404.1865, usercpu_time_millis: 35460, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 35380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.9435, kappa: 0.5411, kb_relative_information_score: -892402.7924, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9447, predictive_accuracy: 0.9502, prior_entropy: 0.3794, recall: 0.9502, relative_absolute_error: 1.3034, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.9268, scimark_benchmark: 1328.941, usercpu_time_millis: 63760, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 63690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.9354, kappa: 0.4575, kb_relative_information_score: 217576.7525, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9408, predictive_accuracy: 0.9461, prior_entropy: 0.3794, recall: 0.9461, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.8545, scimark_benchmark: 1345.7204, usercpu_time_millis: 8437470, usercpu_time_millis_testing: 4890, usercpu_time_millis_training: 8432580,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.9415, kappa: 0.521, kb_relative_information_score: 78480.3981, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9433, predictive_accuracy: 0.949, prior_entropy: 0.3794, recall: 0.949, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8357, scimark_benchmark: 1333.5799, usercpu_time_millis: 657170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 657100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.8923, kappa: 0.0144, kb_relative_information_score: 1486.3338, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9154, predictive_accuracy: 0.9268, prior_entropy: 0.3794, recall: 0.9268, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9971, scimark_benchmark: 1342.2845, usercpu_time_millis: 48090, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 48020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.9431, kappa: 0.5381, kb_relative_information_score: 60700.9927, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9442, predictive_accuracy: 0.9498, prior_entropy: 0.3794, recall: 0.9498, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8107, scimark_benchmark: 1340.9446, usercpu_time_millis: 416690, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 416610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8909, kb_relative_information_score: 124035.885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.8581, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039, scimark_benchmark: 922.8232, usercpu_time_millis: 510, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.935, kappa: 0.5038, kb_relative_information_score: 104674.7484, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1364, number_of_instances: 500000, precision: 0.9331, predictive_accuracy: 0.9378, prior_entropy: 0.3794, recall: 0.9378, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.8608, scimark_benchmark: 933.0918, usercpu_time_millis: 2480, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2400,

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