OpenML
Supervised Classification on trains

Supervised Classification on trains

Task 1815 Supervised Classification trains 345 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, build_cpu_time: 0.065, build_memory: 1214272957.6, f_measure: 0.56, kappa: 0.12, kb_relative_information_score: 1.2162, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0325, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, build_cpu_time: 0.0009, build_memory: 618887164, f_measure: 0.5308, kappa: 0.08, kb_relative_information_score: 4.3155, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5434, predictive_accuracy: 0.54, prior_entropy: 1, recall: 0.54, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6058, root_relative_squared_error: 1.2116, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, build_cpu_time: 0.0016, build_memory: 187162355.2, f_measure: 0.5536, kappa: 0.12, kb_relative_information_score: 5.0321, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5637, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6045, root_relative_squared_error: 1.209, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, build_cpu_time: 0.0018, build_memory: 1372904396, f_measure: 0.513, kappa: 0.04, kb_relative_information_score: 3.8061, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5212, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2215, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, build_cpu_time: 0.0025, build_memory: 1006417496, f_measure: 0.513, kappa: 0.04, kb_relative_information_score: 3.8061, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5212, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2215, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, build_cpu_time: 0.0028, build_memory: 499989612, f_measure: 0.513, kappa: 0.04, kb_relative_information_score: 3.8061, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5212, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2215, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, build_cpu_time: 0.0016, build_memory: 514450232.8, f_measure: 0.513, kappa: 0.04, kb_relative_information_score: 3.8061, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5212, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2215, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, build_cpu_time: 0.0179, build_memory: 468722579.2, f_measure: 0.4792, kappa: -0.04, kb_relative_information_score: -0.1704, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4799, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0881, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, build_cpu_time: 0.0091, build_memory: 886137300.8, f_measure: 0.6716, kappa: 0.36, kb_relative_information_score: 10.8998, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7005, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9415, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, build_cpu_time: 0.0063, build_memory: 1465903124, f_measure: 0.6716, kappa: 0.36, kb_relative_information_score: 10.8998, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7005, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9415, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, build_cpu_time: 0.0101, build_memory: 493833584, f_measure: 0.6716, kappa: 0.36, kb_relative_information_score: 10.8998, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7005, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9415, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, build_cpu_time: 0.0111, build_memory: 978861393.6, f_measure: 0.6716, kappa: 0.36, kb_relative_information_score: 10.8998, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7005, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9415, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, build_cpu_time: 0.0102, build_memory: 124352133.6, f_measure: 0.6198, kappa: 0.24, kb_relative_information_score: 11.6669, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2247, scimark_benchmark: 926.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, build_cpu_time: 0.0061, build_memory: 120640477.6, f_measure: 0.6198, kappa: 0.24, kb_relative_information_score: 11.6669, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2247, scimark_benchmark: 933.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, build_cpu_time: 0.0068, build_memory: 114446772, f_measure: 0.6198, kappa: 0.24, kb_relative_information_score: 11.6669, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2247, scimark_benchmark: 936.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, build_cpu_time: 0.0021, build_memory: 74214040.8, f_measure: 0.6566, kappa: 0.32, kb_relative_information_score: 16.5187, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6667, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5633, root_relative_squared_error: 1.1265, scimark_benchmark: 939.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, build_cpu_time: 0.0019, build_memory: 85039871.2, f_measure: 0.6566, kappa: 0.32, kb_relative_information_score: 16.5187, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6667, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5633, root_relative_squared_error: 1.1265, scimark_benchmark: 929.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, build_cpu_time: 9.457, build_memory: 3084335492, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 7.0072, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9837, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, build_cpu_time: 16.7923, build_memory: 401277612.8, f_measure: 0.6198, kappa: 0.24, kb_relative_information_score: 6.9068, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9869, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, build_cpu_time: 0.0168, build_memory: 784082270.4, f_measure: 0.5974, kappa: 0.2, kb_relative_information_score: 5.8127, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6026, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5857, root_relative_squared_error: 1.1715, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, build_cpu_time: 0.0145, build_memory: 1362275542.4, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 5.8498, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.588, root_relative_squared_error: 1.176, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, build_cpu_time: 0.0046, build_memory: 774900740, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 5.8949, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5903, root_relative_squared_error: 1.1807, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, build_cpu_time: 0.0467, build_memory: 2803458936, f_measure: 0.513, kappa: 0.04, kb_relative_information_score: 2.5743, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5212, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6769, root_relative_squared_error: 1.3538, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, build_cpu_time: 0.0037, build_memory: 1149142411.2, f_measure: 0.5942, kappa: 0.2, kb_relative_information_score: 6.0915, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6061, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5895, root_relative_squared_error: 1.1791, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, build_cpu_time: 0.003, build_memory: 3325100686.4, f_measure: 0.5074, kappa: 0.04, kb_relative_information_score: 4.8528, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5223, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5936, root_relative_squared_error: 1.1873, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, build_cpu_time: 0.0419, build_memory: 1818018965.6, f_measure: 0.5593, kappa: 0.12, kb_relative_information_score: 4.1237, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5604, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0278, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, build_cpu_time: 0.0895, build_memory: 100095725.6, f_measure: 0.5572, kappa: 0.12, kb_relative_information_score: 4.0628, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5616, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.0596, scimark_benchmark: 825.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.564, build_cpu_time: 0.1892, build_memory: 74815512, f_measure: 0.5572, kappa: 0.12, kb_relative_information_score: 3.8374, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5616, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.0551, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, build_cpu_time: 0.3008, build_memory: 885631316, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 3.7098, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.0425, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5624, build_cpu_time: 0.6406, build_memory: 298102882.4, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 3.6312, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0443, scimark_benchmark: 942.5482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, build_cpu_time: 0.0055, build_memory: 497652996.8, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 1.7251, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2652, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, build_cpu_time: 0.003, build_memory: 1308078083.2, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 1.7251, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2652, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, build_cpu_time: 0.002, build_memory: 396624185.6, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 1.7251, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2652, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, build_cpu_time: 0.0046, build_memory: 92424838.4, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 1.7251, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2652, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, build_cpu_time: 0.0018, build_memory: 1179780787.2, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 1.7251, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2652, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, build_cpu_time: 0.0017, build_memory: 1684093537.6, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 1.7251, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2652, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, build_cpu_time: 0.001, build_memory: 54662780.8, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 1.7251, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2652, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, build_cpu_time: 0.0154, build_memory: 1942401812.8, f_measure: 0.513, kappa: 0.04, kb_relative_information_score: 1.4584, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5212, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5347, root_relative_squared_error: 1.0694, scimark_benchmark: 945.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, build_cpu_time: 0.0313, build_memory: 902415738.4, f_measure: 0.4949, kb_relative_information_score: 1.5878, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0634, scimark_benchmark: 944.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, build_cpu_time: 0.0263, build_memory: 71889865.6, f_measure: 0.4949, kb_relative_information_score: -1.9474, mean_absolute_error: 0.516, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.0614, scimark_benchmark: 939.2294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, build_cpu_time: 0.0192, build_memory: 810403290.4, f_measure: 0.4949, kb_relative_information_score: -1.9474, mean_absolute_error: 0.516, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.0614, scimark_benchmark: 945.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, build_cpu_time: 0.0061, build_memory: 89546070.4, f_measure: 0.4949, kb_relative_information_score: -1.8899, mean_absolute_error: 0.5155, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0593, scimark_benchmark: 933.1461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, build_cpu_time: 0.004, build_memory: 434870324.8, f_measure: 0.4949, kb_relative_information_score: -1.8899, mean_absolute_error: 0.5155, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0593, scimark_benchmark: 944.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, build_cpu_time: 0.0034, build_memory: 2660107848, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -2.2, mean_absolute_error: 0.5175, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5302, root_relative_squared_error: 1.0605, scimark_benchmark: 940.5796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, build_cpu_time: 0.0021, build_memory: 285449407.2, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -2.0354, mean_absolute_error: 0.516, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0532, scimark_benchmark: 935.4413,

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