Task
Supervised Classification on chscase_vine2

Supervised Classification on chscase_vine2

Task 3679 Supervised Classification chscase_vine2 673 runs submitted
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  • 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: 0.8113, f_measure: 0.7781, kappa: 0.5522, kb_relative_information_score: 76.1371, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7887, predictive_accuracy: 0.7821, prior_entropy: 0.9937, recall: 0.7821, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.8375, kappa: 0.6721, kb_relative_information_score: 269.4502, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8375, predictive_accuracy: 0.8376, prior_entropy: 0.9937, recall: 0.8376, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7821, kappa: 0.5606, kb_relative_information_score: 178.1925, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7941, predictive_accuracy: 0.7863, prior_entropy: 0.9937, recall: 0.7863, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8484, kappa: 0.6942, kb_relative_information_score: 284.2025, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8485, predictive_accuracy: 0.8483, prior_entropy: 0.9937, recall: 0.8483, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7821, kappa: 0.5606, kb_relative_information_score: 78.1286, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7941, predictive_accuracy: 0.7863, prior_entropy: 0.9937, recall: 0.7863, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.443, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8526, kappa: 0.7029, kb_relative_information_score: 309.047, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8528, predictive_accuracy: 0.8526, prior_entropy: 0.9937, recall: 0.8526, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8546, kappa: 0.7066, kb_relative_information_score: 323.8545, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8546, predictive_accuracy: 0.8547, prior_entropy: 0.9937, recall: 0.8547, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7836, kappa: 0.5641, kb_relative_information_score: 179.489, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7988, predictive_accuracy: 0.7885, prior_entropy: 0.9937, recall: 0.7885, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.769, kappa: 0.5336, kb_relative_information_score: 126.1049, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7689, predictive_accuracy: 0.7692, prior_entropy: 0.9937, recall: 0.7692, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8456, kappa: 0.6878, kb_relative_information_score: 186.9013, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8465, predictive_accuracy: 0.8462, prior_entropy: 0.9937, recall: 0.8462, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7262, kappa: 0.4473, kb_relative_information_score: 62.6637, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7339, predictive_accuracy: 0.7308, prior_entropy: 0.9937, recall: 0.7308, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7262, kappa: 0.4473, kb_relative_information_score: 62.6637, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7339, predictive_accuracy: 0.7308, prior_entropy: 0.9937, recall: 0.7308, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8528, kappa: 0.7038, kb_relative_information_score: 312.0341, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.854, predictive_accuracy: 0.8526, prior_entropy: 0.9937, recall: 0.8526, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.3868, kb_relative_information_score: 34.5769, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6142, root_relative_squared_error: 1.2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.857, kappa: 0.7122, kb_relative_information_score: 308.1277, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8579, predictive_accuracy: 0.8568, prior_entropy: 0.9937, recall: 0.8568, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7841, kappa: 0.5635, kb_relative_information_score: 103.3113, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7886, predictive_accuracy: 0.7863, prior_entropy: 0.9937, recall: 0.7863, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3868, kb_relative_information_score: -0.0341, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4978, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8528, kappa: 0.7036, kb_relative_information_score: 315.7977, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8536, predictive_accuracy: 0.8526, prior_entropy: 0.9937, recall: 0.8526, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7629, kappa: 0.5216, kb_relative_information_score: 187.8664, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7629, predictive_accuracy: 0.7628, prior_entropy: 0.9937, recall: 0.7628, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7629, kappa: 0.5216, kb_relative_information_score: 187.8664, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7629, predictive_accuracy: 0.7628, prior_entropy: 0.9937, recall: 0.7628, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4218, kappa: 0.0326, kb_relative_information_score: 8.9252, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.6658, predictive_accuracy: 0.5598, prior_entropy: 0.9937, recall: 0.5598, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8486, kappa: 0.6967, kb_relative_information_score: 298.7443, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8531, predictive_accuracy: 0.8483, prior_entropy: 0.9937, recall: 0.8483, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.349, root_relative_squared_error: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7836, kappa: 0.5641, kb_relative_information_score: 76.5155, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7988, predictive_accuracy: 0.7885, prior_entropy: 0.9937, recall: 0.7885, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7836, kappa: 0.5641, kb_relative_information_score: 76.7574, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7988, predictive_accuracy: 0.7885, prior_entropy: 0.9937, recall: 0.7885, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, f_measure: 0.4225, kappa: 0.013, kb_relative_information_score: 40.5889, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.5393, predictive_accuracy: 0.5491, prior_entropy: 0.9937, recall: 0.5491, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6715, root_relative_squared_error: 1.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3868, kb_relative_information_score: 38.5634, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3868, kb_relative_information_score: 38.5634, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7836, kappa: 0.5641, kb_relative_information_score: 74.8321, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7988, predictive_accuracy: 0.7885, prior_entropy: 0.9937, recall: 0.7885, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8569, kappa: 0.7115, kb_relative_information_score: 317.8693, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8571, predictive_accuracy: 0.8568, prior_entropy: 0.9937, recall: 0.8568, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8228, kappa: 0.6426, kb_relative_information_score: 215.6648, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8229, predictive_accuracy: 0.8227, prior_entropy: 0.9937, recall: 0.8227, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8486, kappa: 0.6967, kb_relative_information_score: 298.7443, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8531, predictive_accuracy: 0.8483, prior_entropy: 0.9937, recall: 0.8483, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.349, root_relative_squared_error: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7836, kappa: 0.5641, kb_relative_information_score: 76.7574, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7988, predictive_accuracy: 0.7885, prior_entropy: 0.9937, recall: 0.7885, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7637, kappa: 0.5222, kb_relative_information_score: 183.4619, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7648, predictive_accuracy: 0.765, prior_entropy: 0.9937, recall: 0.765, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8629, kappa: 0.7229, kb_relative_information_score: 299.1407, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8634, predictive_accuracy: 0.8632, prior_entropy: 0.9937, recall: 0.8632, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8375, kappa: 0.6718, kb_relative_information_score: 314.0347, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8374, predictive_accuracy: 0.8376, prior_entropy: 0.9937, recall: 0.8376, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3868, kb_relative_information_score: 38.5634, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3521, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.4635, kappa: 0.026, kb_relative_information_score: -14.1002, mean_absolute_error: 0.5085, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.5226, predictive_accuracy: 0.4915, prior_entropy: 0.9937, recall: 0.4915, relative_absolute_error: 1.0261, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.7131, root_relative_squared_error: 1.4326, scimark_benchmark: 1631.1992, usercpu_time_millis: 2203.125, usercpu_time_millis_training: 2203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7568, kappa: 0.5082, kb_relative_information_score: 239.0903, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7588, predictive_accuracy: 0.7585, prior_entropy: 0.9937, recall: 0.7585, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9871, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3868, kb_relative_information_score: 38.5634, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3521, scimark_benchmark: 1600.5315, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7568, kappa: 0.5082, kb_relative_information_score: 239.0903, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7588, predictive_accuracy: 0.7585, prior_entropy: 0.9937, recall: 0.7585, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9871, scimark_benchmark: 1358.1353, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.4635, kappa: 0.026, kb_relative_information_score: -14.1002, mean_absolute_error: 0.5085, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.5226, predictive_accuracy: 0.4915, prior_entropy: 0.9937, recall: 0.4915, relative_absolute_error: 1.0261, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.7131, root_relative_squared_error: 1.4326, scimark_benchmark: 1338.9027, usercpu_time_millis: 1280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.4758, kappa: 0.0168, kb_relative_information_score: 26.5693, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.5187, predictive_accuracy: 0.5406, prior_entropy: 0.9937, recall: 0.5406, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9751, scimark_benchmark: 1908.2191, usercpu_time_millis: 906.25, usercpu_time_millis_training: 906.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3868, kb_relative_information_score: 38.5634, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3521, scimark_benchmark: 1827.4462, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.862, kappa: 0.7209, kb_relative_information_score: 333.8547, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8671, predictive_accuracy: 0.8632, prior_entropy: 0.9937, recall: 0.8632, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6412, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8567, kappa: 0.7105, kb_relative_information_score: 285.3679, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8567, predictive_accuracy: 0.8568, prior_entropy: 0.9937, recall: 0.8568, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6343, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8526, kappa: 0.7029, kb_relative_information_score: 316.924, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8528, predictive_accuracy: 0.8526, prior_entropy: 0.9937, recall: 0.8526, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6036, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8526, kappa: 0.7029, kb_relative_information_score: 316.924, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8528, predictive_accuracy: 0.8526, prior_entropy: 0.9937, recall: 0.8526, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6036, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3868, kb_relative_information_score: 38.5634, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3521, usercpu_time_millis: 0.539, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.726, kappa: 0.4488, kb_relative_information_score: 214.784, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7407, predictive_accuracy: 0.7329, prior_entropy: 0.9937, recall: 0.7329, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.0382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3868, kb_relative_information_score: 38.5634, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3521, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3868, kb_relative_information_score: 38.5634, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3521, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8464, kappa: 0.6911, kb_relative_information_score: 266.7031, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8478, predictive_accuracy: 0.8462, prior_entropy: 0.9937, recall: 0.8462, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7212, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8464, kappa: 0.6911, kb_relative_information_score: 266.7031, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8478, predictive_accuracy: 0.8462, prior_entropy: 0.9937, recall: 0.8462, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7212, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7821, kappa: 0.5606, kb_relative_information_score: 78.1286, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7941, predictive_accuracy: 0.7863, prior_entropy: 0.9937, recall: 0.7863, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.443, root_relative_squared_error: 0.89, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7821, kappa: 0.5606, kb_relative_information_score: 78.1286, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7941, predictive_accuracy: 0.7863, prior_entropy: 0.9937, recall: 0.7863, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.443, root_relative_squared_error: 0.89, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.7768, kappa: 0.5491, kb_relative_information_score: 259.3455, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7839, predictive_accuracy: 0.7799, prior_entropy: 0.9937, recall: 0.7799, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7555, kappa: 0.5057, kb_relative_information_score: 237.0648, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7559, predictive_accuracy: 0.7564, prior_entropy: 0.9937, recall: 0.7564, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8486, kappa: 0.6967, kb_relative_information_score: 298.7443, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.8531, predictive_accuracy: 0.8483, prior_entropy: 0.9937, recall: 0.8483, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.349, root_relative_squared_error: 0.701, scimark_benchmark: 1838.8826,

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