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Supervised Classification on pc1

Supervised Classification on pc1

Task 4623 Supervised Classification pc1 235 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.9127, kappa: 0.2381, kb_relative_information_score: -3332.3632, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9062, predictive_accuracy: 0.925, prior_entropy: 0.3667, recall: 0.925, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.9579, scimark_benchmark: 933.3136, usercpu_time_millis: 250, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.9104, kappa: 0.2449, kb_relative_information_score: -1883.5649, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9043, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.9939, scimark_benchmark: 924.3698, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.9005, kappa: 0.0404, kb_relative_information_score: 2820.9364, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9119, predictive_accuracy: 0.9313, prior_entropy: 0.3667, recall: 0.9313, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2621, root_relative_squared_error: 1.0312, scimark_benchmark: 942.9518, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 2735.0394, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366, scimark_benchmark: 889.3151, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.8968, kappa: -0.0013, kb_relative_information_score: 2659.8795, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8659, predictive_accuracy: 0.9299, prior_entropy: 0.3667, recall: 0.9299, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2647, root_relative_squared_error: 1.0413, scimark_benchmark: 918.6005, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.9035, kappa: 0.0905, kb_relative_information_score: -14922.9277, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8984, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 1.3825, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2979, root_relative_squared_error: 1.1721, scimark_benchmark: 1333.5799, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.8181, kappa: 0.1171, kb_relative_information_score: -16731.3756, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8941, predictive_accuracy: 0.7671, prior_entropy: 0.3667, recall: 0.7671, relative_absolute_error: 1.7932, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4826, root_relative_squared_error: 1.8986, scimark_benchmark: 1337.7959, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.9126, kappa: 0.195, kb_relative_information_score: -2141.4083, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9112, predictive_accuracy: 0.9319, prior_entropy: 0.3667, recall: 0.9319, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.9429, scimark_benchmark: 918.6005, usercpu_time_millis: 12320, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 12000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.9262, kappa: 0.3551, kb_relative_information_score: -2062.2819, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9238, predictive_accuracy: 0.9367, prior_entropy: 0.3667, recall: 0.9367, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.8841, scimark_benchmark: 1341.5768, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.9121, kappa: 0.3192, kb_relative_information_score: 234.2969, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.912, predictive_accuracy: 0.9121, prior_entropy: 0.3667, recall: 0.9121, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2973, root_relative_squared_error: 1.1696, scimark_benchmark: 1346.9602, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.915, kappa: 0.2287, kb_relative_information_score: -3558.5292, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9123, predictive_accuracy: 0.9318, prior_entropy: 0.3667, recall: 0.9318, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.9568, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.905, kappa: 0.1078, kb_relative_information_score: -720.8484, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9011, predictive_accuracy: 0.9294, prior_entropy: 0.3667, recall: 0.9294, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9952, scimark_benchmark: 1306.6379, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.9209, kappa: 0.3271, kb_relative_information_score: 2595.4567, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9163, predictive_accuracy: 0.9294, prior_entropy: 0.3667, recall: 0.9294, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2657, root_relative_squared_error: 1.0453, scimark_benchmark: 1341.5768, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.562, f_measure: 0.9071, kappa: 0.172, kb_relative_information_score: 1822.3834, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8987, predictive_accuracy: 0.9229, prior_entropy: 0.3667, recall: 0.9229, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2777, root_relative_squared_error: 1.0923, scimark_benchmark: 1369.9744, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.9199, kappa: 0.2825, kb_relative_information_score: -3486.2926, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9178, predictive_accuracy: 0.9341, prior_entropy: 0.3667, recall: 0.9341, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9422, scimark_benchmark: 1337.446, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.906, kappa: 0.1205, kb_relative_information_score: 2616.9309, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9024, predictive_accuracy: 0.9296, prior_entropy: 0.3667, recall: 0.9296, relative_absolute_error: 0.5422, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2654, root_relative_squared_error: 1.044, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.537, f_measure: 0.9057, kappa: 0.1188, kb_relative_information_score: 2552.5082, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9011, predictive_accuracy: 0.929, prior_entropy: 0.3667, recall: 0.929, relative_absolute_error: 0.5463, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2664, root_relative_squared_error: 1.048, scimark_benchmark: 1351.788, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: -118.543, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1480.5705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.9225, kappa: 0.3122, kb_relative_information_score: 732.0077, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9204, predictive_accuracy: 0.9353, prior_entropy: 0.3667, recall: 0.9353, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.9633, scimark_benchmark: 1418.5826, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, build_cpu_time: 179.9052, build_memory: 1395460530.9944, f_measure: 0.9227, kappa: 0.3188, kb_relative_information_score: -2930.7635, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.92, predictive_accuracy: 0.9347, prior_entropy: 0.3667, recall: 0.9347, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.879, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, build_cpu_time: 16.5035, build_memory: 611766386.3106, f_measure: 0.926, kappa: 0.3634, kb_relative_information_score: 3251.112, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9227, predictive_accuracy: 0.935, prior_entropy: 0.3667, recall: 0.935, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.9931, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, build_cpu_time: 6.8286, build_memory: 951851583.1856, f_measure: 0.925, kappa: 0.3534, kb_relative_information_score: 3087.7245, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9215, predictive_accuracy: 0.9343, prior_entropy: 0.3667, recall: 0.9343, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.9941, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, build_cpu_time: 3.5337, build_memory: 68673782.2218, f_measure: 0.9224, kappa: 0.3158, kb_relative_information_score: 3168.0357, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9197, predictive_accuracy: 0.9345, prior_entropy: 0.3667, recall: 0.9345, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.9841, scimark_benchmark: 939.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, build_cpu_time: 3.4657, build_memory: 94035996.3131, f_measure: 0.9224, kappa: 0.3158, kb_relative_information_score: 3168.0357, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9197, predictive_accuracy: 0.9345, prior_entropy: 0.3667, recall: 0.9345, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.9841, scimark_benchmark: 947.8147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, build_cpu_time: 3.321, build_memory: 1338700375.2188, f_measure: 0.9224, kappa: 0.3158, kb_relative_information_score: 3168.0357, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9197, predictive_accuracy: 0.9345, prior_entropy: 0.3667, recall: 0.9345, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.9841, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, build_cpu_time: 1.7612, build_memory: 1013588771.4554, f_measure: 0.9224, kappa: 0.3139, kb_relative_information_score: 3012.3913, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9197, predictive_accuracy: 0.9346, prior_entropy: 0.3667, recall: 0.9346, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.25, root_relative_squared_error: 0.9835, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, build_cpu_time: 1.7108, build_memory: 1186441135.661, f_measure: 0.9224, kappa: 0.3139, kb_relative_information_score: 3012.3913, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9197, predictive_accuracy: 0.9346, prior_entropy: 0.3667, recall: 0.9346, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.25, root_relative_squared_error: 0.9835, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, build_cpu_time: 8.1241, build_memory: 1177131567.5903, f_measure: 0.9236, kappa: 0.307, kb_relative_information_score: -490.8861, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9261, predictive_accuracy: 0.9386, prior_entropy: 0.3667, recall: 0.9386, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.226, root_relative_squared_error: 0.8891, scimark_benchmark: 945.7518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, build_cpu_time: 19.5348, build_memory: 216004298.2384, f_measure: 0.9235, kappa: 0.3062, kb_relative_information_score: -474.0339, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9264, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8878, scimark_benchmark: 912.1349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, build_cpu_time: 3.1287, build_memory: 280731634.765, f_measure: 0.9221, kappa: 0.3064, kb_relative_information_score: -1308.375, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9202, predictive_accuracy: 0.9353, prior_entropy: 0.3667, recall: 0.9353, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.8807, scimark_benchmark: 946.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, build_cpu_time: 3.0295, build_memory: 1247636055.2895, f_measure: 0.9221, kappa: 0.3064, kb_relative_information_score: -1308.375, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9202, predictive_accuracy: 0.9353, prior_entropy: 0.3667, recall: 0.9353, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.8807, scimark_benchmark: 929.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, build_cpu_time: 2.0059, build_memory: 88166486.8242, f_measure: 0.9231, kappa: 0.3142, kb_relative_information_score: -1346.5269, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9219, predictive_accuracy: 0.9362, prior_entropy: 0.3667, recall: 0.9362, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.8819, scimark_benchmark: 929.5736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, build_cpu_time: 0.7705, build_memory: 1599040862.123, f_measure: 0.9237, kappa: 0.3225, kb_relative_information_score: -1517.1046, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9222, predictive_accuracy: 0.9363, prior_entropy: 0.3667, recall: 0.9363, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.887, scimark_benchmark: 940.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, build_cpu_time: 0.3896, build_memory: 58667842.6121, f_measure: 0.9218, kappa: 0.306, kb_relative_information_score: -1641.8972, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9194, predictive_accuracy: 0.9346, prior_entropy: 0.3667, recall: 0.9346, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.227, root_relative_squared_error: 0.893, scimark_benchmark: 944.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, build_cpu_time: 0.3834, build_memory: 105059044.7401, f_measure: 0.9218, kappa: 0.306, kb_relative_information_score: -1641.8972, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9194, predictive_accuracy: 0.9346, prior_entropy: 0.3667, recall: 0.9346, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.227, root_relative_squared_error: 0.893, scimark_benchmark: 944.1063,

Metric:

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Leaderboard

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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)

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