Task
Supervised Classification on chatfield_4

Supervised Classification on chatfield_4

Task 3685 Supervised Classification chatfield_4 577 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8602, kappa: 0.7091, kb_relative_information_score: 154.6257, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8615, predictive_accuracy: 0.8596, prior_entropy: 0.9689, recall: 0.8596, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.8483, kappa: 0.6889, kb_relative_information_score: 136.3853, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8576, predictive_accuracy: 0.8468, prior_entropy: 0.9689, recall: 0.8468, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.885, kappa: 0.7593, kb_relative_information_score: 157.1158, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8849, predictive_accuracy: 0.8851, prior_entropy: 0.9689, recall: 0.8851, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8889, kappa: 0.7669, kb_relative_information_score: 179.5128, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.889, predictive_accuracy: 0.8894, prior_entropy: 0.9689, recall: 0.8894, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8762, kappa: 0.7405, kb_relative_information_score: 144.8956, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8762, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.876, kappa: 0.7396, kb_relative_information_score: 164.9782, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8762, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8648, kappa: 0.7205, kb_relative_information_score: 148.0376, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.869, predictive_accuracy: 0.8638, prior_entropy: 0.9689, recall: 0.8638, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8721, kappa: 0.7321, kb_relative_information_score: 170.21, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.872, predictive_accuracy: 0.8723, prior_entropy: 0.9689, recall: 0.8723, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8718, kappa: 0.7311, kb_relative_information_score: 149.4172, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8718, predictive_accuracy: 0.8723, prior_entropy: 0.9689, recall: 0.8723, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8816, kappa: 0.7545, kb_relative_information_score: 156.4979, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8844, predictive_accuracy: 0.8809, prior_entropy: 0.9689, recall: 0.8809, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8765, kappa: 0.7415, kb_relative_information_score: 170.6288, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.863, kappa: 0.7121, kb_relative_information_score: 150.5771, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8633, predictive_accuracy: 0.8638, prior_entropy: 0.9689, recall: 0.8638, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.7092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8939, kappa: 0.7788, kb_relative_information_score: 181.2141, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8945, predictive_accuracy: 0.8936, prior_entropy: 0.9689, recall: 0.8936, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8677, kappa: 0.7226, kb_relative_information_score: 148.4352, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8676, predictive_accuracy: 0.8681, prior_entropy: 0.9689, recall: 0.8681, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9068, kappa: 0.8064, kb_relative_information_score: 169.024, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.9085, predictive_accuracy: 0.9064, prior_entropy: 0.9689, recall: 0.9064, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8626, kappa: 0.711, kb_relative_information_score: 159.0414, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9689, recall: 0.8638, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8765, kappa: 0.7415, kb_relative_information_score: 172.2859, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8765, kappa: 0.7415, kb_relative_information_score: 170.4292, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8636, kappa: 0.7142, kb_relative_information_score: 150.9773, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8634, predictive_accuracy: 0.8638, prior_entropy: 0.9689, recall: 0.8638, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8798, kappa: 0.7471, kb_relative_information_score: 174.7019, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8809, predictive_accuracy: 0.8809, prior_entropy: 0.9689, recall: 0.8809, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.886, kappa: 0.7646, kb_relative_information_score: 162.3437, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8908, predictive_accuracy: 0.8851, prior_entropy: 0.9689, recall: 0.8851, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8943, kappa: 0.7812, kb_relative_information_score: 151.3734, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8977, predictive_accuracy: 0.8936, prior_entropy: 0.9689, recall: 0.8936, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4832, f_measure: 0.4552, kb_relative_information_score: -0.0963, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.3651, predictive_accuracy: 0.6043, prior_entropy: 0.9689, recall: 0.6043, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8757, kappa: 0.7386, kb_relative_information_score: 154.0173, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8806, kappa: 0.7499, kb_relative_information_score: 162.2524, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8805, predictive_accuracy: 0.8809, prior_entropy: 0.9689, recall: 0.8809, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8985, kappa: 0.7896, kb_relative_information_score: 165.6004, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.9012, predictive_accuracy: 0.8979, prior_entropy: 0.9689, recall: 0.8979, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8939, kappa: 0.7788, kb_relative_information_score: 161.2967, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8945, predictive_accuracy: 0.8936, prior_entropy: 0.9689, recall: 0.8936, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8861, kappa: 0.7654, kb_relative_information_score: 169.7389, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8925, predictive_accuracy: 0.8851, prior_entropy: 0.9689, recall: 0.8851, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8765, kappa: 0.7415, kb_relative_information_score: 170.4065, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.9051, kappa: 0.7998, kb_relative_information_score: 172.7095, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.9089, predictive_accuracy: 0.9064, prior_entropy: 0.9689, recall: 0.9064, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.29, root_relative_squared_error: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8767, kappa: 0.7425, kb_relative_information_score: 170.5363, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8769, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.7037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8754, kappa: 0.7376, kb_relative_information_score: 173.1254, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8769, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8861, kappa: 0.7654, kb_relative_information_score: 169.7389, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8925, predictive_accuracy: 0.8851, prior_entropy: 0.9689, recall: 0.8851, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8718, kappa: 0.7311, kb_relative_information_score: 170.9962, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8718, predictive_accuracy: 0.8723, prior_entropy: 0.9689, recall: 0.8723, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8721, kappa: 0.7321, kb_relative_information_score: 170.2032, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.872, predictive_accuracy: 0.8723, prior_entropy: 0.9689, recall: 0.8723, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8603, kappa: 0.7101, kb_relative_information_score: 163.123, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8627, predictive_accuracy: 0.8596, prior_entropy: 0.9689, recall: 0.8596, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.875, kappa: 0.7366, kb_relative_information_score: 173.1254, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8776, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8765, kappa: 0.7415, kb_relative_information_score: 170.4089, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4775, f_measure: 0.4552, kb_relative_information_score: -0.0251, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.3651, predictive_accuracy: 0.6043, prior_entropy: 0.9689, recall: 0.6043, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8801, kappa: 0.7481, kb_relative_information_score: 158.8386, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8806, predictive_accuracy: 0.8809, prior_entropy: 0.9689, recall: 0.8809, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.8475, kappa: 0.6832, kb_relative_information_score: 158.2213, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8494, predictive_accuracy: 0.8468, prior_entropy: 0.9689, recall: 0.8468, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4552, kb_relative_information_score: 36.8595, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.3651, predictive_accuracy: 0.6043, prior_entropy: 0.9689, recall: 0.6043, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.6291, root_relative_squared_error: 1.2864, scimark_benchmark: 1959.6455, 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: 0.4552, kb_relative_information_score: 36.8595, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.3651, predictive_accuracy: 0.6043, prior_entropy: 0.9689, recall: 0.6043, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.6291, root_relative_squared_error: 1.2864, 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: 0.779, f_measure: 0.794, kappa: 0.5665, kb_relative_information_score: 132.6715, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.7941, predictive_accuracy: 0.7957, prior_entropy: 0.9689, recall: 0.7957, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9242, scimark_benchmark: 1631.1992, usercpu_time_millis: 7390.625, usercpu_time_millis_training: 7390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4552, kb_relative_information_score: 36.8595, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.3651, predictive_accuracy: 0.6043, prior_entropy: 0.9689, recall: 0.6043, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.6291, root_relative_squared_error: 1.2864, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8816, kappa: 0.7545, kb_relative_information_score: 154.7131, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8844, predictive_accuracy: 0.8809, prior_entropy: 0.9689, recall: 0.8809, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6575, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9109, kappa: 0.8142, kb_relative_information_score: 173.8616, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.9114, predictive_accuracy: 0.9106, prior_entropy: 0.9689, recall: 0.9106, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.5694, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9191, kappa: 0.8306, kb_relative_information_score: 168.7901, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9689, recall: 0.9191, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5496, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.8611, kappa: 0.7066, kb_relative_information_score: 166.7379, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8671, predictive_accuracy: 0.8638, prior_entropy: 0.9689, recall: 0.8638, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7546, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8798, kappa: 0.7471, kb_relative_information_score: 175.2545, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8809, predictive_accuracy: 0.8809, prior_entropy: 0.9689, recall: 0.8809, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7059, scimark_benchmark: 1511.8213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8889, kappa: 0.7669, kb_relative_information_score: 169.8853, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.889, predictive_accuracy: 0.8894, prior_entropy: 0.9689, recall: 0.8894, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5734, scimark_benchmark: 1044.1876, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8648, kappa: 0.7205, kb_relative_information_score: 148.0376, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.869, predictive_accuracy: 0.8638, prior_entropy: 0.9689, recall: 0.8638, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6931, scimark_benchmark: 947.4585, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.902, kappa: 0.795, kb_relative_information_score: 168.086, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.902, predictive_accuracy: 0.9021, prior_entropy: 0.9689, recall: 0.9021, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5539, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8697, kappa: 0.7249, kb_relative_information_score: 174.7569, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8761, predictive_accuracy: 0.8723, prior_entropy: 0.9689, recall: 0.8723, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5957, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8346, kappa: 0.6507, kb_relative_information_score: 162.089, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8621, predictive_accuracy: 0.8426, prior_entropy: 0.9689, recall: 0.8426, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6458, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8487, kappa: 0.6809, kb_relative_information_score: 142.2364, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.852, predictive_accuracy: 0.8511, prior_entropy: 0.9689, recall: 0.8511, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.645, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9107, kappa: 0.8135, kb_relative_information_score: 167.2165, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.9108, predictive_accuracy: 0.9106, prior_entropy: 0.9689, recall: 0.9106, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.5795, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.863, kappa: 0.7121, kb_relative_information_score: 150.118, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8633, predictive_accuracy: 0.8638, prior_entropy: 0.9689, recall: 0.8638, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6418, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.873, kappa: 0.736, kb_relative_information_score: 170.9962, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8747, predictive_accuracy: 0.8723, prior_entropy: 0.9689, recall: 0.8723, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.9024, kappa: 0.7965, kb_relative_information_score: 185.9003, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.9029, predictive_accuracy: 0.9021, prior_entropy: 0.9689, recall: 0.9021, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6398, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8935, kappa: 0.7772, kb_relative_information_score: 181.642, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8934, predictive_accuracy: 0.8936, prior_entropy: 0.9689, recall: 0.8936, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.667, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8902, kappa: 0.7729, kb_relative_information_score: 160.6768, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8942, predictive_accuracy: 0.8894, prior_entropy: 0.9689, recall: 0.8894, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6156, scimark_benchmark: 1779.392,

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