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OpenML
OpenML
Supervised Classification on rmftsa_ladata

Supervised Classification on rmftsa_ladata

Task 3583 Supervised Classification rmftsa_ladata 547 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8697, kappa: 0.7346, kb_relative_information_score: 341.7639, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.87, predictive_accuracy: 0.8701, prior_entropy: 0.9886, recall: 0.8701, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6435, scimark_benchmark: 854.5188, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8707, kappa: 0.7361, kb_relative_information_score: 374.9504, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8752, predictive_accuracy: 0.872, prior_entropy: 0.9886, recall: 0.872, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7212, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7104, kappa: 0.4349, kb_relative_information_score: 237.8547, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.818, predictive_accuracy: 0.7402, prior_entropy: 0.9886, recall: 0.7402, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0277, scimark_benchmark: 1325.2092, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.8635, kappa: 0.7219, kb_relative_information_score: 366.7656, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8644, predictive_accuracy: 0.8642, prior_entropy: 0.9886, recall: 0.8642, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.743, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8775, kappa: 0.7505, kb_relative_information_score: 336.0973, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8781, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5911, scimark_benchmark: 938.343, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8323, kappa: 0.6588, kb_relative_information_score: 334.0263, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8323, predictive_accuracy: 0.8327, prior_entropy: 0.9886, recall: 0.8327, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8247, scimark_benchmark: 935.5075, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8816, kappa: 0.759, kb_relative_information_score: 343.2039, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8818, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5784, scimark_benchmark: 883.2709, usercpu_time_millis: 1340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8641, kappa: 0.7238, kb_relative_information_score: 352.2365, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8641, predictive_accuracy: 0.8642, prior_entropy: 0.9886, recall: 0.8642, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6871, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8387, kappa: 0.6723, kb_relative_information_score: 319.0322, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8388, predictive_accuracy: 0.8386, prior_entropy: 0.9886, recall: 0.8386, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7253, scimark_benchmark: 1304.6687, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8896, kappa: 0.7753, kb_relative_information_score: 344.9216, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5752, scimark_benchmark: 825.5282, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.823, kappa: 0.6407, kb_relative_information_score: 323.7953, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8233, predictive_accuracy: 0.8228, prior_entropy: 0.9886, recall: 0.8228, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8486, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8663, kappa: 0.7285, kb_relative_information_score: 327.8828, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8665, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6696, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8855, kappa: 0.7668, kb_relative_information_score: 336.1995, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8859, predictive_accuracy: 0.8858, prior_entropy: 0.9886, recall: 0.8858, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.316, root_relative_squared_error: 0.637, scimark_benchmark: 1330.2678, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8546, kappa: 0.7054, kb_relative_information_score: 356.5346, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8556, predictive_accuracy: 0.8543, prior_entropy: 0.9886, recall: 0.8543, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7695, scimark_benchmark: 1359.379, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, f_measure: 0.6353, kappa: 0.2917, kb_relative_information_score: 170.3299, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.7241, predictive_accuracy: 0.6752, prior_entropy: 0.9886, recall: 0.6752, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5699, root_relative_squared_error: 1.149, scimark_benchmark: 1335.4072, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.89, kappa: 0.7769, kb_relative_information_score: 392.5444, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8906, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6498, scimark_benchmark: 868.2731, usercpu_time_millis: 9030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.87, kappa: 0.7357, kb_relative_information_score: 346.9088, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.87, predictive_accuracy: 0.8701, prior_entropy: 0.9886, recall: 0.8701, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6489, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.862, kappa: 0.7191, kb_relative_information_score: 364.7194, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.862, predictive_accuracy: 0.8622, prior_entropy: 0.9886, recall: 0.8622, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7484, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8568, kappa: 0.7107, kb_relative_information_score: 358.5808, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8597, predictive_accuracy: 0.8563, prior_entropy: 0.9886, recall: 0.8563, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7642, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4056, kb_relative_information_score: -0.0427, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 1, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.496, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8664, kappa: 0.7293, kb_relative_information_score: 343.5887, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8674, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7106, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8382, kappa: 0.6706, kb_relative_information_score: 340.3884, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8383, predictive_accuracy: 0.8386, prior_entropy: 0.9886, recall: 0.8386, relative_absolute_error: 0.3276, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8015, scimark_benchmark: 931.2336, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.848, kappa: 0.6906, kb_relative_information_score: 350.238, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8482, predictive_accuracy: 0.8484, prior_entropy: 0.9886, recall: 0.8484, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7475, scimark_benchmark: 932.3943, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8659, kappa: 0.7271, kb_relative_information_score: 354.5157, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8659, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6906, scimark_benchmark: 941.7954, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.86, kappa: 0.7152, kb_relative_information_score: 345.4093, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.86, predictive_accuracy: 0.8602, prior_entropy: 0.9886, recall: 0.8602, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6588, scimark_benchmark: 923.7642, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.86, kappa: 0.7152, kb_relative_information_score: 342.8322, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.86, predictive_accuracy: 0.8602, prior_entropy: 0.9886, recall: 0.8602, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6597, scimark_benchmark: 894.7455, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8733, kappa: 0.7416, kb_relative_information_score: 375.4977, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8748, predictive_accuracy: 0.874, prior_entropy: 0.9886, recall: 0.874, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6939, scimark_benchmark: 894.7455, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8714, kappa: 0.738, kb_relative_information_score: 374.2015, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9886, recall: 0.872, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6938, scimark_benchmark: 936.6206, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8771, kappa: 0.7494, kb_relative_information_score: 381.074, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8791, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6866, scimark_benchmark: 942.1229, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8794, kappa: 0.7541, kb_relative_information_score: 381.004, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8804, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6751, scimark_benchmark: 922.9039, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8791, kappa: 0.7534, kb_relative_information_score: 381.9426, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8813, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6858, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8816, kappa: 0.759, kb_relative_information_score: 372.4997, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8818, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.306, root_relative_squared_error: 0.617, scimark_benchmark: 936.6206, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8819, kappa: 0.76, kb_relative_information_score: 355.9354, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8819, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6063, scimark_benchmark: 924.6116, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, build_cpu_time: 0.2914, build_memory: 718311843.1339, f_measure: 0.8597, kappa: 0.7141, kb_relative_information_score: 362.5423, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8603, predictive_accuracy: 0.8602, prior_entropy: 0.9886, recall: 0.8602, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7467, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, build_cpu_time: 0.1514, build_memory: 1033111619.2126, f_measure: 0.8499, kappa: 0.6941, kb_relative_information_score: 352.8175, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8503, predictive_accuracy: 0.8504, prior_entropy: 0.9886, recall: 0.8504, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7631, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, build_cpu_time: 0.0889, build_memory: 879586199.5433, f_measure: 0.8537, kappa: 0.7019, kb_relative_information_score: 351.3527, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8544, predictive_accuracy: 0.8543, prior_entropy: 0.9886, recall: 0.8543, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7591, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, build_cpu_time: 0.0699, build_memory: 1285974970.5669, f_measure: 0.86, kappa: 0.7152, kb_relative_information_score: 341.6888, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.86, predictive_accuracy: 0.8602, prior_entropy: 0.9886, recall: 0.8602, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6621, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, build_cpu_time: 0.0847, build_memory: 1230151050.1575, f_measure: 0.86, kappa: 0.7152, kb_relative_information_score: 342.8322, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.86, predictive_accuracy: 0.8602, prior_entropy: 0.9886, recall: 0.8602, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6597, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, build_cpu_time: 17.4393, build_memory: 29080003.1024, f_measure: 0.8677, kappa: 0.7305, kb_relative_information_score: 361.4782, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6341, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, build_cpu_time: 31.3974, build_memory: 808942983.9685, f_measure: 0.8896, kappa: 0.7753, kb_relative_information_score: 377.0672, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6232, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, build_cpu_time: 61.1585, build_memory: 71786869.8583, f_measure: 0.8936, kappa: 0.7835, kb_relative_information_score: 390.5684, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8936, predictive_accuracy: 0.8937, prior_entropy: 0.9886, recall: 0.8937, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.618, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, build_cpu_time: 120.7173, build_memory: 747730278.252, f_measure: 0.8917, kappa: 0.7799, kb_relative_information_score: 392.1267, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8917, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6338, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, build_cpu_time: 256.2598, build_memory: 76765921.4173, f_measure: 0.8956, kappa: 0.7877, kb_relative_information_score: 398.641, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8956, predictive_accuracy: 0.8957, prior_entropy: 0.9886, recall: 0.8957, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6405, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 55.6469, build_memory: 855392872.0472, f_measure: 0.8857, kappa: 0.7675, kb_relative_information_score: 389.032, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8857, predictive_accuracy: 0.8858, prior_entropy: 0.9886, recall: 0.8858, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6807, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, build_cpu_time: 27.5367, build_memory: 744367511.874, f_measure: 0.8878, kappa: 0.7719, kb_relative_information_score: 391.2105, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8877, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.674, scimark_benchmark: 945.0532,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, build_cpu_time: 6.4987, build_memory: 771421917.3386, f_measure: 0.8619, kappa: 0.7188, kb_relative_information_score: 368.5157, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.862, predictive_accuracy: 0.8622, prior_entropy: 0.9886, recall: 0.8622, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7191, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, build_cpu_time: 0.4444, build_memory: 406991340.4409, f_measure: 0.8898, kappa: 0.776, kb_relative_information_score: 386.1559, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8898, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6279, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, build_cpu_time: 0.8889, build_memory: 1622389676.4567, f_measure: 0.8896, kappa: 0.7755, kb_relative_information_score: 389.4499, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8896, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6484, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, build_cpu_time: 1.8166, build_memory: 914985978.1102, f_measure: 0.8838, kappa: 0.7636, kb_relative_information_score: 389.274, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8837, predictive_accuracy: 0.8839, prior_entropy: 0.9886, recall: 0.8839, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6559, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 3.3912, build_memory: 1225868892.2992, f_measure: 0.8877, kappa: 0.7716, kb_relative_information_score: 391.7248, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8877, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6646, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, build_cpu_time: 6.4416, build_memory: 710816127.685, f_measure: 0.8896, kappa: 0.7755, kb_relative_information_score: 395.6071, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8896, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6552, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, build_cpu_time: 0.5217, build_memory: 120926324.2205, f_measure: 0.8837, kappa: 0.7634, kb_relative_information_score: 382.4973, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8837, predictive_accuracy: 0.8839, prior_entropy: 0.9886, recall: 0.8839, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6586, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, build_cpu_time: 0.565, build_memory: 1168206382.7244, f_measure: 0.8837, kappa: 0.7634, kb_relative_information_score: 382.5003, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8837, predictive_accuracy: 0.8839, prior_entropy: 0.9886, recall: 0.8839, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6596, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, build_cpu_time: 0.4397, build_memory: 895340219.3858, f_measure: 0.8856, kappa: 0.7673, kb_relative_information_score: 384.211, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8857, predictive_accuracy: 0.8858, prior_entropy: 0.9886, recall: 0.8858, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6502, scimark_benchmark: 923.9118,

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