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: 0.7137, f_measure: 0.6794, kappa: 0.354, kb_relative_information_score: 614.1625, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6839, predictive_accuracy: 0.6836, prior_entropy: 0.9948, recall: 0.6836, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1714.7898, usercpu_time_millis: 4802.874, usercpu_time_millis_testing: 22.142, usercpu_time_millis_training: 4780.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6796, kappa: 0.3546, kb_relative_information_score: 603.938, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6847, predictive_accuracy: 0.6841, prior_entropy: 0.9948, recall: 0.6841, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9501, scimark_benchmark: 1728.8162, usercpu_time_millis: 4850.477, usercpu_time_millis_testing: 22.306, usercpu_time_millis_training: 4828.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9681, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7782, kappa: 0.5526, kb_relative_information_score: 1293.6447, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8008, scimark_benchmark: 1847.8629, usercpu_time_millis: 164.782, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 164.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8076, kappa: 0.612, kb_relative_information_score: 2034.4586, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7613, scimark_benchmark: 1799.9243, usercpu_time_millis: 115.228, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 114.573,
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: 1779.9905, usercpu_time_millis: 261.318, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 260.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7445, kappa: 0.4856, kb_relative_information_score: 954.4195, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7447, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8624, scimark_benchmark: 1830.0021, usercpu_time_millis: 233.406, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 233.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7618, kappa: 0.5194, kb_relative_information_score: 1145.1916, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8278, scimark_benchmark: 1803.4553, usercpu_time_millis: 336.556, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 336.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.757, kappa: 0.5104, kb_relative_information_score: 1185.5287, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8198, scimark_benchmark: 1819.6217, usercpu_time_millis: 131.963, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 130.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7602, kappa: 0.5166, kb_relative_information_score: 1004.5819, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7601, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8367, scimark_benchmark: 1851.9456, usercpu_time_millis: 360.975, usercpu_time_millis_testing: 1.477, usercpu_time_millis_training: 359.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.5307, kappa: 0.1777, kb_relative_information_score: -38.6592, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6511, predictive_accuracy: 0.5686, prior_entropy: 0.9948, recall: 0.5686, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0032, scimark_benchmark: 1891.3278, usercpu_time_millis: 35.651, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 35.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.6252, kappa: 0.288, kb_relative_information_score: 263.6053, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7183, predictive_accuracy: 0.663, prior_entropy: 0.9948, recall: 0.663, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9541, scimark_benchmark: 1731.5003, usercpu_time_millis: 29.262, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 28.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.718, kappa: 0.4309, kb_relative_information_score: 630.763, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7191, predictive_accuracy: 0.7195, prior_entropy: 0.9948, recall: 0.7195, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8954, scimark_benchmark: 1718.5966, usercpu_time_millis: 27.023, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 26.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7474, kappa: 0.4905, kb_relative_information_score: 1776.4553, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7474, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9293, scimark_benchmark: 1805.88, usercpu_time_millis: 348.578, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 348.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7873, kappa: 0.5711, kb_relative_information_score: 1897.9918, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7926, scimark_benchmark: 1906.8907, usercpu_time_millis: 118.572, usercpu_time_millis_testing: 1.205, usercpu_time_millis_training: 117.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7415, kappa: 0.4789, kb_relative_information_score: 1630.442, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7414, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9268, scimark_benchmark: 1854.4951, usercpu_time_millis: 308.953, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 308.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7359, kappa: 0.4671, kb_relative_information_score: 684.6161, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8861, scimark_benchmark: 1829.632, usercpu_time_millis: 63.462, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 63.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.76, kappa: 0.516, kb_relative_information_score: 1651.4448, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.76, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8384, scimark_benchmark: 1787.4666, usercpu_time_millis: 445.365, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 444.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.731, kappa: 0.4573, kb_relative_information_score: 562.4121, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7335, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9033, scimark_benchmark: 1838.622, usercpu_time_millis: 623.222, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 622.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7534, kappa: 0.5028, kb_relative_information_score: 686.6982, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 1717.9445, usercpu_time_millis: 157.081, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 156.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7348, kappa: 0.465, kb_relative_information_score: 620.0802, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7367, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8943, scimark_benchmark: 2015.818, usercpu_time_millis: 141.292, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 140.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7333, kappa: 0.4619, kb_relative_information_score: 590.0415, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7355, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.899, scimark_benchmark: 1826.0946, usercpu_time_millis: 545.993, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 545.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7576, kappa: 0.511, kb_relative_information_score: 1165.0656, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8302, scimark_benchmark: 1838.7623, usercpu_time_millis: 460.408, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 459.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7578, kappa: 0.5116, kb_relative_information_score: 1646.4274, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8507, scimark_benchmark: 1734.2107, usercpu_time_millis: 414.961, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 413.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8097, kappa: 0.6162, kb_relative_information_score: 2058.1217, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.4678, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7489, scimark_benchmark: 1730.1287, usercpu_time_millis: 436.778, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 435.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7575, kappa: 0.5107, kb_relative_information_score: 1243.942, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.412, root_relative_squared_error: 0.827, scimark_benchmark: 1848.2024, usercpu_time_millis: 582.649, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 582.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: -27.7423, mean_absolute_error: 0.4988, 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: 1.0048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0013, scimark_benchmark: 1722.7088, usercpu_time_millis: 83.656, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 83.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7496, kappa: 0.4946, kb_relative_information_score: 841.4554, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7506, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8616, scimark_benchmark: 1796.1277, usercpu_time_millis: 421.489, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 420.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7958, kappa: 0.5881, kb_relative_information_score: 2157.8821, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7958, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8262, scimark_benchmark: 1807.4912, usercpu_time_millis: 700.891, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 700.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7652, kappa: 0.5263, kb_relative_information_score: 1361.267, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8105, scimark_benchmark: 1825.5856, usercpu_time_millis: 69.78, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 69.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.803, kappa: 0.6028, kb_relative_information_score: 2148.4815, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.803, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7837, scimark_benchmark: 1835.5017, usercpu_time_millis: 431.693, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 430.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7863, kappa: 0.569, kb_relative_information_score: 1787.6127, mean_absolute_error: 0.2699, 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: 0.5437, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7887, scimark_benchmark: 1824.7487, usercpu_time_millis: 679.395, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 678.734,
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: 1841.1653, usercpu_time_millis: 22.142, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 21.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, 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: 1842.1882, usercpu_time_millis: 115.404, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 115.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.7138, kappa: 0.4232, kb_relative_information_score: 1421.6963, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7137, predictive_accuracy: 0.7139, prior_entropy: 0.9948, recall: 0.7139, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.945, scimark_benchmark: 1850.2486, usercpu_time_millis: 80.147, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 79.72,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7375, kappa: 0.4725, kb_relative_information_score: 312.6143, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.944, scimark_benchmark: 1720.8342, usercpu_time_millis: 600.164, usercpu_time_millis_testing: 0.569, usercpu_time_millis_training: 599.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7437, kappa: 0.4843, kb_relative_information_score: 612.0734, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7441, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8942, scimark_benchmark: 1724.0991, usercpu_time_millis: 710.957, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 710.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 482.0028, mean_absolute_error: 0.4473, 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: 0.9011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9202, scimark_benchmark: 1859.9207, usercpu_time_millis: 1054.85, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1054.481,
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: 1841.8649, usercpu_time_millis: 397.381, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 396.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7681, kappa: 0.5324, kb_relative_information_score: 1274.8188, mean_absolute_error: 0.3443, 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: 0.6935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8136, scimark_benchmark: 1836.2249, usercpu_time_millis: 140.923, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 140.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7588, kappa: 0.5133, kb_relative_information_score: 1265.008, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8265, scimark_benchmark: 1820.6924, usercpu_time_millis: 884.487, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 883.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7553, kappa: 0.5065, kb_relative_information_score: 1092.9179, mean_absolute_error: 0.3709, 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: 0.7471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8348, scimark_benchmark: 1803.9727, usercpu_time_millis: 938.539, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 937.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7922, kappa: 0.5809, kb_relative_information_score: 1819.7543, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7923, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1844.8764, usercpu_time_millis: 340.729, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 340.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8089, kappa: 0.6147, kb_relative_information_score: 2086.5895, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.766, scimark_benchmark: 1941.2956, usercpu_time_millis: 881.228, usercpu_time_millis_testing: 1.698, usercpu_time_millis_training: 879.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7789, kappa: 0.5541, kb_relative_information_score: 1895.5369, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7789, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8156, scimark_benchmark: 1839.7911, usercpu_time_millis: 209.268, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 207.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8017, kappa: 0.6003, kb_relative_information_score: 2018.4326, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7727, scimark_benchmark: 1776.7215, usercpu_time_millis: 1284.297, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 1283.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7791, kappa: 0.5545, kb_relative_information_score: 1768.4119, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7792, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8023, scimark_benchmark: 1818.6731, usercpu_time_millis: 1164.531, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 1163.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7693, kappa: 0.5347, kb_relative_information_score: 1328.4909, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7696, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1839.282, usercpu_time_millis: 500.524, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 499.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.742, kappa: 0.4795, kb_relative_information_score: 399.2029, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7422, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9255, scimark_benchmark: 1844.8764, usercpu_time_millis: 94.67, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 93.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.782, kappa: 0.5602, kb_relative_information_score: 1460.8486, mean_absolute_error: 0.32, 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: 0.6446, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7908, scimark_benchmark: 1805.8717, usercpu_time_millis: 807.755, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 806.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7429, kappa: 0.4817, kb_relative_information_score: 1636.5434, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7428, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9167, scimark_benchmark: 1806.0357, usercpu_time_millis: 271.666, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 271.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7763, kappa: 0.5488, kb_relative_information_score: 1352.2054, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7763, predictive_accuracy: 0.7766, prior_entropy: 0.9948, recall: 0.7766, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7903, scimark_benchmark: 2125.7484, usercpu_time_millis: 134.946, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 133.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.749, kappa: 0.494, kb_relative_information_score: 1670.1654, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.749, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8642, scimark_benchmark: 1884.4155, usercpu_time_millis: 820.662, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 820.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.3813, kb_relative_information_score: -0.7877, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1774.7557, usercpu_time_millis: 1214.361, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 1213.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7646, kappa: 0.5253, kb_relative_information_score: 1262.8371, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7648, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.814, scimark_benchmark: 1714.7898, usercpu_time_millis: 100.419, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 100.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7684, kappa: 0.5328, kb_relative_information_score: 1612.0656, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8165, scimark_benchmark: 2045.6245, usercpu_time_millis: 932.296, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 931.952,
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: 1812.87, usercpu_time_millis: 421.975, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 421.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8024, kappa: 0.6016, kb_relative_information_score: 1719.7893, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.753, scimark_benchmark: 1852.9988, usercpu_time_millis: 866.018, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 864.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7618, kappa: 0.5196, kb_relative_information_score: 1516.4427, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8211, scimark_benchmark: 1838.168, usercpu_time_millis: 1379.622, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 1379.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7566, kappa: 0.5091, kb_relative_information_score: 1027.2791, mean_absolute_error: 0.3804, 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: 0.7663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8395, scimark_benchmark: 2005.5253, usercpu_time_millis: 671.65, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 671.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 776.3057, mean_absolute_error: 0.4126, 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: 0.8312, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.8881, scimark_benchmark: 1843.2259, usercpu_time_millis: 595.133, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 594.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.7834, kappa: 0.5634, kb_relative_information_score: 2032.9962, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7833, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8267, scimark_benchmark: 1823.9562, usercpu_time_millis: 638.003, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 637.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7691, kappa: 0.534, kb_relative_information_score: 1393.1389, mean_absolute_error: 0.328, 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: 0.6608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8115, scimark_benchmark: 1846.4335, usercpu_time_millis: 739.69, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 739.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7499, kappa: 0.4956, kb_relative_information_score: 949.9584, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.75, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8505, scimark_benchmark: 1828.6642, usercpu_time_millis: 627.597, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 626.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7411, kappa: 0.4783, kb_relative_information_score: 1024.84, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.741, predictive_accuracy: 0.7411, prior_entropy: 0.9948, recall: 0.7411, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8496, scimark_benchmark: 1855.5999, usercpu_time_millis: 486.722, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 486.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.761, kappa: 0.5179, kb_relative_information_score: 1543.4701, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8315, scimark_benchmark: 1704.6176, usercpu_time_millis: 847.633, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 847.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7837, kappa: 0.5637, kb_relative_information_score: 1435.0328, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7838, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7833, scimark_benchmark: 1795.6403, usercpu_time_millis: 272.179, usercpu_time_millis_testing: 1.596, usercpu_time_millis_training: 270.583,

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