OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8081, kappa: 0.6131, kb_relative_information_score: 1727.5772, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7437, scimark_benchmark: 1856.6531, usercpu_time_millis: 343.711, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 342.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7722, kappa: 0.5407, kb_relative_information_score: 1356.7455, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8047, scimark_benchmark: 1857.5664, usercpu_time_millis: 375.697, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 375.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7688, kappa: 0.5336, kb_relative_information_score: 1432.989, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7695, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8119, scimark_benchmark: 1848.388, usercpu_time_millis: 670.588, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 670.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1782.9665, usercpu_time_millis: 788.022, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 787.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7604, kappa: 0.5168, kb_relative_information_score: 1326.4235, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7605, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8207, scimark_benchmark: 1796.4168, usercpu_time_millis: 376.395, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 375.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7931, kappa: 0.5827, kb_relative_information_score: 1550.7719, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7935, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7713, scimark_benchmark: 1832.1397, usercpu_time_millis: 463.493, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 463.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7518, kappa: 0.4997, kb_relative_information_score: 1635.3669, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7518, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8922, scimark_benchmark: 1848.321, usercpu_time_millis: 434.467, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 433.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.769, kappa: 0.5341, kb_relative_information_score: 1638.0447, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8282, scimark_benchmark: 1849.2344, usercpu_time_millis: 364.969, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 363.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7571, kappa: 0.5098, kb_relative_information_score: 1033.4575, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8375, scimark_benchmark: 1841.0974, usercpu_time_millis: 999.723, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 999.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 746.3412, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8896, scimark_benchmark: 1843.3605, usercpu_time_millis: 844.428, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 844.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7642, kappa: 0.5242, kb_relative_information_score: 1149.1961, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8323, scimark_benchmark: 1769.0097, usercpu_time_millis: 946.304, usercpu_time_millis_testing: 1.164, usercpu_time_millis_training: 945.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7543, kappa: 0.5046, kb_relative_information_score: 1622.9573, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8595, scimark_benchmark: 1820.4188, usercpu_time_millis: 482.189, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 481.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1749.4777, usercpu_time_millis: 484.692, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 484.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8086, kappa: 0.614, kb_relative_information_score: 1828.3943, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7417, scimark_benchmark: 1833.6549, usercpu_time_millis: 418.313, usercpu_time_millis_testing: 1.583, usercpu_time_millis_training: 416.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.3813, kb_relative_information_score: 198.3437, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9648, scimark_benchmark: 1839.6694, usercpu_time_millis: 598.168, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 597.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.782, kappa: 0.5603, kb_relative_information_score: 1883.4603, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7995, scimark_benchmark: 1729.3178, usercpu_time_millis: 810.003, usercpu_time_millis_testing: 1.048, usercpu_time_millis_training: 808.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7594, kappa: 0.5147, kb_relative_information_score: 1527.7696, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8245, scimark_benchmark: 1763.2679, usercpu_time_millis: 956.124, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 955.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8055, kappa: 0.6078, kb_relative_information_score: 1993.3057, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7632, scimark_benchmark: 1846.7639, usercpu_time_millis: 500.228, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 499.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7659, kappa: 0.5276, kb_relative_information_score: 1357.7104, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7665, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8176, scimark_benchmark: 1827.9165, usercpu_time_millis: 429.014, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 427.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 648.3045, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8626, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9, scimark_benchmark: 1846.1643, usercpu_time_millis: 804.749, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 804.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7663, kappa: 0.5288, kb_relative_information_score: 1585.1144, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8135, scimark_benchmark: 1823.3693, usercpu_time_millis: 518.247, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 517.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7398, kappa: 0.4764, kb_relative_information_score: 716.0313, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7402, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8872, scimark_benchmark: 1849.7595, usercpu_time_millis: 616.821, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 616.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7707, kappa: 0.5373, kb_relative_information_score: 1319.1162, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.771, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, scimark_benchmark: 1766.2831, usercpu_time_millis: 462.179, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 461.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7439, kappa: 0.4833, kb_relative_information_score: 833.7131, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7441, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8663, scimark_benchmark: 1771.9195, usercpu_time_millis: 980.477, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 979.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.773, kappa: 0.5422, kb_relative_information_score: 1511.7526, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.6256, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8017, scimark_benchmark: 1852.9259, usercpu_time_millis: 553.856, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 553.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7624, kappa: 0.521, kb_relative_information_score: 1784.5812, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7624, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8543, scimark_benchmark: 1729.7545, usercpu_time_millis: 747.083, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 745.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.74, kappa: 0.477, kb_relative_information_score: 863.5285, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7405, predictive_accuracy: 0.7398, prior_entropy: 0.9948, recall: 0.7398, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.872, scimark_benchmark: 1825.1623, usercpu_time_millis: 640.944, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 640.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7688, kappa: 0.5336, kb_relative_information_score: 1390.5572, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7695, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8138, scimark_benchmark: 1843.7454, usercpu_time_millis: 523.164, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 522.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7506, kappa: 0.4972, kb_relative_information_score: 1631.7362, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7505, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8906, scimark_benchmark: 1851.3287, usercpu_time_millis: 1046.798, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 1046.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.759, kappa: 0.5139, kb_relative_information_score: 1556.708, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8326, scimark_benchmark: 1764.1136, usercpu_time_millis: 1017.756, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 1017.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7864, kappa: 0.5694, kb_relative_information_score: 1678.6512, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7864, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7799, scimark_benchmark: 1851.4874, usercpu_time_millis: 640.921, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 640.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0073, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1730.1287, usercpu_time_millis: 985.645, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 985.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7401, kappa: 0.4761, kb_relative_information_score: 1632.9804, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.74, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9219, scimark_benchmark: 1792.4464, usercpu_time_millis: 1115.938, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1115.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7623, kappa: 0.5203, kb_relative_information_score: 1286.039, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1849.408, usercpu_time_millis: 579.312, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 578.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7589, kappa: 0.5138, kb_relative_information_score: 1643.8606, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8486, scimark_benchmark: 1050.0342, usercpu_time_millis: 785.48, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 783.802,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7611, kappa: 0.5179, kb_relative_information_score: 1127.219, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8276, scimark_benchmark: 1853.9121, usercpu_time_millis: 616.129, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 615.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7452, kappa: 0.4864, kb_relative_information_score: 1626.4994, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7451, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9072, scimark_benchmark: 1818.3365, usercpu_time_millis: 709.982, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 709.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -1.6359, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1914.9887, usercpu_time_millis: 686.349, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 686.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 255.5839, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9546, scimark_benchmark: 1851.8567, usercpu_time_millis: 1027.304, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 1026.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 324.0634, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9434, scimark_benchmark: 1848.7762, usercpu_time_millis: 718.961, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 718.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7639, kappa: 0.5237, kb_relative_information_score: 1260.3785, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7643, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.817, scimark_benchmark: 1818.444, usercpu_time_millis: 940.012, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 939.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7205, kappa: 0.4368, kb_relative_information_score: 1537.5638, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7204, predictive_accuracy: 0.7206, prior_entropy: 0.9948, recall: 0.7206, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9386, scimark_benchmark: 1852.2235, usercpu_time_millis: 648.693, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 648.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7757, kappa: 0.5476, kb_relative_information_score: 1355.3915, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7757, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7977, scimark_benchmark: 1852.0126, usercpu_time_millis: 730.464, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 729.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7566, kappa: 0.509, kb_relative_information_score: 1557.1854, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.836, scimark_benchmark: 1844.8101, usercpu_time_millis: 968.909, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 968.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7681, kappa: 0.5324, kb_relative_information_score: 1611.0922, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7682, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8173, scimark_benchmark: 1830.9169, usercpu_time_millis: 864.318, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 863.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7641, kappa: 0.5241, kb_relative_information_score: 1368.2763, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7646, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8188, scimark_benchmark: 1851.0822, usercpu_time_millis: 1304.382, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 1304.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.737, kappa: 0.4717, kb_relative_information_score: 471.9473, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9162, scimark_benchmark: 1737.8876, usercpu_time_millis: 866.207, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 865.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7691, kappa: 0.5341, kb_relative_information_score: 1266.4412, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8162, scimark_benchmark: 1737.5279, usercpu_time_millis: 1179.53, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1179.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7497, kappa: 0.495, kb_relative_information_score: 975.4813, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7501, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8494, scimark_benchmark: 1842.8595, usercpu_time_millis: 850.331, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 849.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7992, kappa: 0.5951, kb_relative_information_score: 1890.9459, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7651, scimark_benchmark: 1793.8312, usercpu_time_millis: 663.696, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 662.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.76, kappa: 0.5158, kb_relative_information_score: 1217.7903, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7606, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8259, scimark_benchmark: 1847.8034, usercpu_time_millis: 1243.317, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 1242.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7535, kappa: 0.503, kb_relative_information_score: 1653.4652, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1846.2342, usercpu_time_millis: 1084.005, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 1083.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.732, kappa: 0.4592, kb_relative_information_score: 372.9309, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7336, predictive_accuracy: 0.7337, prior_entropy: 0.9948, recall: 0.7337, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9318, scimark_benchmark: 1855.0232, usercpu_time_millis: 647.754, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 646.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1836.152, usercpu_time_millis: 766.188, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 765.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7551, kappa: 0.506, kb_relative_information_score: 1180.4896, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8378, scimark_benchmark: 1837.0722, usercpu_time_millis: 695.458, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 695.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7802, kappa: 0.5566, kb_relative_information_score: 1896.757, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8146, scimark_benchmark: 1821.3322, usercpu_time_millis: 771.986, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 771.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7533, kappa: 0.5022, kb_relative_information_score: 945.046, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8478, scimark_benchmark: 1793.8353, usercpu_time_millis: 1223.919, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1223.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7479, kappa: 0.492, kb_relative_information_score: 1085.5058, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7479, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8441, scimark_benchmark: 1852.9988, usercpu_time_millis: 1358.91, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 1358.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7417, kappa: 0.479, kb_relative_information_score: 637.0033, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7417, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.89, scimark_benchmark: 1852.5406, usercpu_time_millis: 1053.191, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 1052.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7613, kappa: 0.5185, kb_relative_information_score: 1240.3658, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8218, scimark_benchmark: 1849.5534, usercpu_time_millis: 712.528, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 711.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7311, kappa: 0.4574, kb_relative_information_score: 571.2744, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7334, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.902, scimark_benchmark: 1817.5529, usercpu_time_millis: 894.9, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 894.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.734, kappa: 0.4637, kb_relative_information_score: 1603.7863, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7338, predictive_accuracy: 0.7342, prior_entropy: 0.9948, recall: 0.7342, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9557, scimark_benchmark: 1830.4238, usercpu_time_millis: 1172.907, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1172.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7578, kappa: 0.5114, kb_relative_information_score: 1246.4066, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7585, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8288, scimark_benchmark: 1834.0484, usercpu_time_millis: 779.27, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 778.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7537, kappa: 0.5034, kb_relative_information_score: 1621.9113, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8772, scimark_benchmark: 1851.4874, usercpu_time_millis: 1346.005, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 1345.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 514.0667, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9157, scimark_benchmark: 1849.3742, usercpu_time_millis: 1371.978, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 1371.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7586, kappa: 0.5131, kb_relative_information_score: 1640.7061, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8427, scimark_benchmark: 1853.9121, usercpu_time_millis: 1103.947, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 1103.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7869, kappa: 0.5702, kb_relative_information_score: 1798.9134, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.785, scimark_benchmark: 1855.5541, usercpu_time_millis: 733.847, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 733.001,

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)

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