Task
Supervised Classification on analcatdata_seropositive

Supervised Classification on analcatdata_seropositive

Task 3784 Supervised Classification analcatdata_seropositive 872 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: 0.9401, f_measure: 0.9468, kappa: 0.8826, kb_relative_information_score: 109.4761, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9468, predictive_accuracy: 0.947, prior_entropy: 0.9347, recall: 0.947, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 103.4491, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 103.6667, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.239, root_relative_squared_error: 0.5016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 102.3204, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9391, kappa: 0.8652, kb_relative_information_score: 101.783, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9392, predictive_accuracy: 0.9394, prior_entropy: 0.9347, recall: 0.9394, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9697, kappa: 0.9333, kb_relative_information_score: 120.0882, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9545, kappa: 0.8999, kb_relative_information_score: 118.5363, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9347, recall: 0.9545, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 101.3084, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 105.1604, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 115.9415, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9229, kappa: 0.8279, kb_relative_information_score: 96.4688, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9259, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 117.2003, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 103.2596, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9618, kappa: 0.9153, kb_relative_information_score: 116.0418, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9471, kappa: 0.8838, kb_relative_information_score: 106.8207, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9473, predictive_accuracy: 0.947, prior_entropy: 0.9347, recall: 0.947, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 101.3612, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9347, recall: 0.9545, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.514, kb_relative_information_score: -0.2867, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.4245, predictive_accuracy: 0.6515, prior_entropy: 0.9347, recall: 0.6515, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9772, kappa: 0.9497, kb_relative_information_score: 118.2982, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.9347, recall: 0.9773, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9772, kappa: 0.9497, kb_relative_information_score: 118.2982, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.9347, recall: 0.9773, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9697, kappa: 0.9333, kb_relative_information_score: 109.8607, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9618, kappa: 0.9153, kb_relative_information_score: 115.7939, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 103.1917, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 117.1572, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 122.5815, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9308, kappa: 0.846, kb_relative_information_score: 103.5574, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9329, predictive_accuracy: 0.9318, prior_entropy: 0.9347, recall: 0.9318, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.4983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 103.2596, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9229, kappa: 0.8279, kb_relative_information_score: 97.6112, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9259, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 113.8499, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.8894, kappa: 0.7513, kb_relative_information_score: 99.7446, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9033, predictive_accuracy: 0.8939, prior_entropy: 0.9347, recall: 0.8939, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9618, kappa: 0.9153, kb_relative_information_score: 115.7939, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 122.5815, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 103.2596, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8643, kappa: 0.7027, kb_relative_information_score: 90.6098, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.8654, predictive_accuracy: 0.8636, prior_entropy: 0.9347, recall: 0.8636, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8643, kappa: 0.7027, kb_relative_information_score: 90.6098, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.8654, predictive_accuracy: 0.8636, prior_entropy: 0.9347, recall: 0.8636, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8643, kappa: 0.7027, kb_relative_information_score: 90.6098, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.8654, predictive_accuracy: 0.8636, prior_entropy: 0.9347, recall: 0.8636, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.6258, kappa: 0.1842, kb_relative_information_score: 19.496, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.7274, predictive_accuracy: 0.697, prior_entropy: 0.9347, recall: 0.697, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9387, kappa: 0.8638, kb_relative_information_score: 107.9022, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.94, predictive_accuracy: 0.9394, prior_entropy: 0.9347, recall: 0.9394, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9391, kappa: 0.8652, kb_relative_information_score: 113.4467, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9392, predictive_accuracy: 0.9394, prior_entropy: 0.9347, recall: 0.9394, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.5167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.932, kappa: 0.8506, kb_relative_information_score: 111.163, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9323, predictive_accuracy: 0.9318, prior_entropy: 0.9347, recall: 0.9318, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.548, scimark_benchmark: 1280.301, usercpu_time_millis: 5500, usercpu_time_millis_training: 5500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9308, kappa: 0.846, kb_relative_information_score: 111.163, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9329, predictive_accuracy: 0.9318, prior_entropy: 0.9347, recall: 0.9318, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.548, scimark_benchmark: 1280.301, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.6038, kappa: 0.148, kb_relative_information_score: 38.0847, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.7417, predictive_accuracy: 0.6894, prior_entropy: 0.9347, recall: 0.6894, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1696, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.514, kb_relative_information_score: 26.6663, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.4245, predictive_accuracy: 0.6515, prior_entropy: 0.9347, recall: 0.6515, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.5903, root_relative_squared_error: 1.2389, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9772, kappa: 0.9497, kb_relative_information_score: 121.0536, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.9347, recall: 0.9773, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3227, scimark_benchmark: 1787.9841, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.514, kb_relative_information_score: 26.6663, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.4245, predictive_accuracy: 0.6515, prior_entropy: 0.9347, recall: 0.6515, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.5903, root_relative_squared_error: 1.2389, scimark_benchmark: 1584.427, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9308, kappa: 0.846, kb_relative_information_score: 106.0415, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9329, predictive_accuracy: 0.9318, prior_entropy: 0.9347, recall: 0.9318, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5312, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9308, kappa: 0.846, kb_relative_information_score: 105.0299, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9329, predictive_accuracy: 0.9318, prior_entropy: 0.9347, recall: 0.9318, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4714, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.8894, kappa: 0.7513, kb_relative_information_score: 99.7446, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9033, predictive_accuracy: 0.8939, prior_entropy: 0.9347, recall: 0.8939, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6835, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 122.5815, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3653, scimark_benchmark: 1287.2484, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9308, kappa: 0.846, kb_relative_information_score: 107.1786, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9329, predictive_accuracy: 0.9318, prior_entropy: 0.9347, recall: 0.9318, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4494, scimark_benchmark: 939.6553, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9468, kappa: 0.8826, kb_relative_information_score: 109.4761, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9468, predictive_accuracy: 0.947, prior_entropy: 0.9347, recall: 0.947, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4758, scimark_benchmark: 930.6679, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9223, kappa: 0.8261, kb_relative_information_score: 101.449, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9285, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4672, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.954, kappa: 0.8978, kb_relative_information_score: 116.0362, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9555, predictive_accuracy: 0.9545, prior_entropy: 0.9347, recall: 0.9545, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3759, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.954, kappa: 0.8978, kb_relative_information_score: 119.6542, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9555, predictive_accuracy: 0.9545, prior_entropy: 0.9347, recall: 0.9545, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3161, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 113.8044, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3686, 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: 0.9918, f_measure: 0.9697, kappa: 0.9333, kb_relative_information_score: 109.8607, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3936, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9772, kappa: 0.9497, kb_relative_information_score: 118.0176, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.9347, recall: 0.9773, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3381, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9308, kappa: 0.846, kb_relative_information_score: 111.163, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9329, predictive_accuracy: 0.9318, prior_entropy: 0.9347, recall: 0.9318, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.548, usercpu_time_millis: 1.054, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8927, kappa: 0.7616, kb_relative_information_score: 99.7446, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.8934, predictive_accuracy: 0.8939, prior_entropy: 0.9347, recall: 0.8939, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6835, usercpu_time_millis: 4.22, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 3.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9465, kappa: 0.8814, kb_relative_information_score: 115.7304, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9472, predictive_accuracy: 0.947, prior_entropy: 0.9347, recall: 0.947, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4833, usercpu_time_millis: 0.852, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.759,

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