Task
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: 0.8785, f_measure: 0.8101, kappa: 0.6169, kb_relative_information_score: 1666.6254, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7513, scimark_benchmark: 1805.0025, usercpu_time_millis: 4917.536, usercpu_time_millis_testing: 4.681, usercpu_time_millis_training: 4912.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8011, kappa: 0.5989, kb_relative_information_score: 1653.37, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7598, scimark_benchmark: 1729.5058, usercpu_time_millis: 6845.349, usercpu_time_millis_testing: 3.617, usercpu_time_millis_training: 6841.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.075, 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: 1359.5397, usercpu_time_millis: 7.321, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 6.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1633.1692, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7582, scimark_benchmark: 1370.5507, usercpu_time_millis: 10463.259, usercpu_time_millis_testing: 3.589, usercpu_time_millis_training: 10459.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.767, kappa: 0.5297, kb_relative_information_score: 1316.2256, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7681, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.814, scimark_benchmark: 1358.0671, usercpu_time_millis: 2994.66, usercpu_time_millis_testing: 2.281, usercpu_time_millis_training: 2992.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7135, kappa: 0.4219, kb_relative_information_score: 588.6718, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7138, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9, scimark_benchmark: 1356.2972, usercpu_time_millis: 14.57, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 13.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7436, kappa: 0.483, kb_relative_information_score: 825.2954, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7435, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8677, scimark_benchmark: 1358.5475, usercpu_time_millis: 201.075, usercpu_time_millis_testing: 2.012, usercpu_time_millis_training: 199.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7571, kappa: 0.5101, kb_relative_information_score: 1380.0642, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7615, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8106, scimark_benchmark: 1370.2708, usercpu_time_millis: 9534.87, usercpu_time_millis_testing: 3.313, usercpu_time_millis_training: 9531.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8041, kappa: 0.6049, kb_relative_information_score: 1559.698, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1737.8947, usercpu_time_millis: 3067.59, usercpu_time_millis_testing: 5.492, usercpu_time_millis_training: 3062.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7535, kappa: 0.5027, kb_relative_information_score: 926.0977, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8537, scimark_benchmark: 1797.6765, usercpu_time_millis: 263.405, usercpu_time_millis_testing: 1.987, usercpu_time_millis_training: 261.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 781.7832, mean_absolute_error: 0.4116, 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: 0.8291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8825, scimark_benchmark: 1808.1962, usercpu_time_millis: 240.179, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 238.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7895, kappa: 0.5755, kb_relative_information_score: 1323.3303, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.793, scimark_benchmark: 1810.7731, usercpu_time_millis: 204.702, usercpu_time_millis_testing: 1.611, usercpu_time_millis_training: 203.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7917, kappa: 0.5798, kb_relative_information_score: 1407.909, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7922, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7844, scimark_benchmark: 1789.8553, usercpu_time_millis: 149.331, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 148.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7597, kappa: 0.5151, kb_relative_information_score: 1054.3072, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7609, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.415, root_relative_squared_error: 0.833, scimark_benchmark: 1811.7664, usercpu_time_millis: 124.609, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 123.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8022, kappa: 0.601, kb_relative_information_score: 1662.4404, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7564, scimark_benchmark: 1797.6765, usercpu_time_millis: 2672.109, usercpu_time_millis_testing: 2.087, usercpu_time_millis_training: 2670.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8063, kappa: 0.6093, kb_relative_information_score: 1661.6177, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7565, scimark_benchmark: 1697.7992, usercpu_time_millis: 14857.322, usercpu_time_millis_testing: 5.733, usercpu_time_millis_training: 14851.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7973, kappa: 0.5912, kb_relative_information_score: 1576.6678, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7654, scimark_benchmark: 2126.2155, usercpu_time_millis: 2147.929, usercpu_time_millis_testing: 2.2, usercpu_time_millis_training: 2145.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7859, kappa: 0.5682, kb_relative_information_score: 1432.2511, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7862, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7885, scimark_benchmark: 1738.2739, usercpu_time_millis: 2068.682, usercpu_time_millis_testing: 3.132, usercpu_time_millis_training: 2065.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7851, kappa: 0.5665, kb_relative_information_score: 1448.5989, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7886, scimark_benchmark: 1751.3999, usercpu_time_millis: 3384.337, usercpu_time_millis_testing: 2.093, usercpu_time_millis_training: 3382.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.808, kappa: 0.6128, kb_relative_information_score: 1671.3226, mean_absolute_error: 0.2917, 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: 0.5877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7512, scimark_benchmark: 1801.0759, usercpu_time_millis: 3308.832, usercpu_time_millis_testing: 3.787, usercpu_time_millis_training: 3305.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1479.8432, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7694, scimark_benchmark: 1689.8079, usercpu_time_millis: 2920.975, usercpu_time_millis_testing: 10.4, usercpu_time_millis_training: 2910.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 979.2297, mean_absolute_error: 0.3862, 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: 0.7779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1361.0651, usercpu_time_millis: 429.803, usercpu_time_millis_testing: 1.665, usercpu_time_millis_training: 428.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1593.2148, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7554, scimark_benchmark: 1359.3697, usercpu_time_millis: 4142.232, usercpu_time_millis_testing: 5.281, usercpu_time_millis_training: 4136.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.796, kappa: 0.5884, kb_relative_information_score: 1519.7123, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7965, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7715, scimark_benchmark: 1749.1604, usercpu_time_millis: 1391.291, usercpu_time_millis_testing: 2.342, usercpu_time_millis_training: 1388.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8055, kappa: 0.6078, kb_relative_information_score: 1614.8214, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1808.78, usercpu_time_millis: 2574.637, usercpu_time_millis_testing: 2.906, usercpu_time_millis_training: 2571.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8103, kappa: 0.6173, kb_relative_information_score: 1425.5581, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7711, scimark_benchmark: 1360.3673, usercpu_time_millis: 426.83, usercpu_time_millis_testing: 2.551, usercpu_time_millis_training: 424.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7993, kappa: 0.5952, kb_relative_information_score: 1540.8827, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7676, scimark_benchmark: 1804.1374, usercpu_time_millis: 779.246, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 777.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1498.4428, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7684, scimark_benchmark: 1360.7103, usercpu_time_millis: 2579.953, usercpu_time_millis_testing: 4.706, usercpu_time_millis_training: 2575.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7596, kappa: 0.515, kb_relative_information_score: 1360.673, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1805.3732, usercpu_time_millis: 1855.583, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 1854.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8004, kappa: 0.5974, kb_relative_information_score: 1587.4797, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7648, scimark_benchmark: 1726.6048, usercpu_time_millis: 7188.618, usercpu_time_millis_testing: 3.605, usercpu_time_millis_training: 7185.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7871, kappa: 0.5706, kb_relative_information_score: 1107.4286, mean_absolute_error: 0.3699, 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: 0.7452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 2131.008, usercpu_time_millis: 77.65, usercpu_time_millis_testing: 3.729, usercpu_time_millis_training: 73.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.6983, kappa: 0.3914, kb_relative_information_score: 469.2099, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7006, predictive_accuracy: 0.7009, prior_entropy: 0.9948, recall: 0.7009, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9188, scimark_benchmark: 1798.2259, usercpu_time_millis: 33.169, usercpu_time_millis_testing: 1.731, usercpu_time_millis_training: 31.438,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7135, kappa: 0.4218, kb_relative_information_score: 538.1302, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7138, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9079, scimark_benchmark: 1741.9254, usercpu_time_millis: 51.172, usercpu_time_millis_testing: 1.921, usercpu_time_millis_training: 49.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.726, kappa: 0.4473, kb_relative_information_score: 660.0312, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7261, predictive_accuracy: 0.7267, prior_entropy: 0.9948, recall: 0.7267, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8891, scimark_benchmark: 1362.6883, usercpu_time_millis: 128.859, usercpu_time_millis_testing: 2.293, usercpu_time_millis_training: 126.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.806, kappa: 0.6088, kb_relative_information_score: 1566.6928, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7594, scimark_benchmark: 1373.2913, usercpu_time_millis: 5401.216, usercpu_time_millis_testing: 6.548, usercpu_time_millis_training: 5394.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7453, kappa: 0.4862, kb_relative_information_score: 794.5776, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7455, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8725, scimark_benchmark: 1363.0961, usercpu_time_millis: 130.566, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 129.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7791, kappa: 0.5544, kb_relative_information_score: 1366.5993, mean_absolute_error: 0.333, 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: 0.6709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8022, scimark_benchmark: 1797.6143, usercpu_time_millis: 1387.353, usercpu_time_millis_testing: 2.455, usercpu_time_millis_training: 1384.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7813, kappa: 0.5588, kb_relative_information_score: 1201.7693, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8086, scimark_benchmark: 1750.5451, usercpu_time_millis: 854.81, usercpu_time_millis_testing: 4.586, usercpu_time_millis_training: 850.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8129, kappa: 0.6227, kb_relative_information_score: 1699.5175, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9948, recall: 0.8131, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7443, scimark_benchmark: 1360.4227, usercpu_time_millis: 1970.268, usercpu_time_millis_testing: 6.035, usercpu_time_millis_training: 1964.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.792, kappa: 0.5804, kb_relative_information_score: 1542.7169, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7924, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7773, scimark_benchmark: 1749.6835, usercpu_time_millis: 371.155, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 370.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7558, kappa: 0.5075, kb_relative_information_score: 1224.1682, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8259, scimark_benchmark: 1808.8939, usercpu_time_millis: 287.822, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 286.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7891, kappa: 0.5746, kb_relative_information_score: 1204.9461, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7895, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8035, scimark_benchmark: 1799.6499, usercpu_time_millis: 262.009, usercpu_time_millis_testing: 4.072, usercpu_time_millis_training: 257.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7966, kappa: 0.5899, kb_relative_information_score: 1736.8489, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1712.9561, usercpu_time_millis: 10975.708, usercpu_time_millis_testing: 3.595, usercpu_time_millis_training: 10972.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.787, kappa: 0.5704, kb_relative_information_score: 1418.7327, mean_absolute_error: 0.3262, 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: 0.657, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.791, scimark_benchmark: 2124.8269, usercpu_time_millis: 517.595, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 516.574,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7432, kappa: 0.4831, kb_relative_information_score: 1096.5071, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7435, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8444, scimark_benchmark: 1740.6245, usercpu_time_millis: 285.44, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 284.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8007, kappa: 0.598, kb_relative_information_score: 1657.091, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7577, scimark_benchmark: 1724.4488, usercpu_time_millis: 2296.581, usercpu_time_millis_testing: 2.139, usercpu_time_millis_training: 2294.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.735, kappa: 0.4653, kb_relative_information_score: 765.6574, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7356, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8686, scimark_benchmark: 1787.1203, usercpu_time_millis: 36.256, usercpu_time_millis_testing: 3.539, usercpu_time_millis_training: 32.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.804, kappa: 0.6046, kb_relative_information_score: 1528.8424, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7647, scimark_benchmark: 1362.5016, usercpu_time_millis: 2331.398, usercpu_time_millis_testing: 2.85, usercpu_time_millis_training: 2328.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8034, kappa: 0.6034, kb_relative_information_score: 1558.6374, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7614, scimark_benchmark: 1361.4056, usercpu_time_millis: 3088.804, usercpu_time_millis_testing: 4.378, usercpu_time_millis_training: 3084.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8135, kappa: 0.6239, kb_relative_information_score: 1588.4287, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8138, predictive_accuracy: 0.8139, prior_entropy: 0.9948, recall: 0.8139, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7526, scimark_benchmark: 1372.6462, usercpu_time_millis: 2862.886, usercpu_time_millis_testing: 5.963, usercpu_time_millis_training: 2856.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.7199, kappa: 0.435, kb_relative_information_score: 618.4038, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7224, predictive_accuracy: 0.7222, prior_entropy: 0.9948, recall: 0.7222, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8915, scimark_benchmark: 1719.4012, usercpu_time_millis: 10.389, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 9.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.005, 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: 1747.2058, usercpu_time_millis: 10.438, usercpu_time_millis_testing: 1.853, usercpu_time_millis_training: 8.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0085, 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: 1746.5506, usercpu_time_millis: 7.53, usercpu_time_millis_testing: 1.351, usercpu_time_millis_training: 6.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1549, 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: 1728.4716, usercpu_time_millis: 9.661, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 8.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.794, kappa: 0.5843, kb_relative_information_score: 1509.3862, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7769, scimark_benchmark: 1736.5552, usercpu_time_millis: 2644.244, usercpu_time_millis_testing: 3.015, usercpu_time_millis_training: 2641.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7972, kappa: 0.5909, kb_relative_information_score: 1621.0815, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7717, scimark_benchmark: 1715.5791, usercpu_time_millis: 14321.203, usercpu_time_millis_testing: 4.972, usercpu_time_millis_training: 14316.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7552, kappa: 0.5061, kb_relative_information_score: 1323.5162, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8142, scimark_benchmark: 1736.5981, usercpu_time_millis: 3707.458, usercpu_time_millis_testing: 2.017, usercpu_time_millis_training: 3705.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8077, kappa: 0.6122, kb_relative_information_score: 1713.537, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7517, scimark_benchmark: 1701.1325, usercpu_time_millis: 12095.297, usercpu_time_millis_testing: 4.105, usercpu_time_millis_training: 12091.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 990.6686, mean_absolute_error: 0.3845, 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: 0.7745, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8629, scimark_benchmark: 1360.74, usercpu_time_millis: 451.423, usercpu_time_millis_testing: 1.604, usercpu_time_millis_training: 449.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7896, kappa: 0.5756, kb_relative_information_score: 1466.523, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.79, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7829, scimark_benchmark: 1374.3888, usercpu_time_millis: 818.431, usercpu_time_millis_testing: 1.513, usercpu_time_millis_training: 816.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8006, kappa: 0.5977, kb_relative_information_score: 1587.3998, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7635, scimark_benchmark: 1714.3925, usercpu_time_millis: 2627.367, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 2625.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0097, 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: 1374.4169, usercpu_time_millis: 10.401, usercpu_time_millis_testing: 2.126, usercpu_time_millis_training: 8.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7755, kappa: 0.5471, kb_relative_information_score: 1326.5668, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7758, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8078, scimark_benchmark: 1719.131, usercpu_time_millis: 669.466, usercpu_time_millis_testing: 1.675, usercpu_time_millis_training: 667.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8078, kappa: 0.6124, kb_relative_information_score: 1733.372, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7501, scimark_benchmark: 1723.8599, usercpu_time_millis: 6192.635, usercpu_time_millis_testing: 4.512, usercpu_time_millis_training: 6188.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7706, kappa: 0.5372, kb_relative_information_score: 1352.9379, mean_absolute_error: 0.3343, 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: 0.6733, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1731.6389, usercpu_time_millis: 533.314, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 531.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.803, kappa: 0.6026, kb_relative_information_score: 1583.4005, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1725.2655, usercpu_time_millis: 144.511, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 143.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1293, 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: 1721.85, usercpu_time_millis: 9.235, usercpu_time_millis_testing: 1.361, usercpu_time_millis_training: 7.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3813, kb_relative_information_score: -0.0689, 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: 1736.1564, usercpu_time_millis: 4.719, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 4.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.5458, 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: 1728.0111, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 4.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.053, 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: 1720.9528, usercpu_time_millis: 6.756, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 5.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7548, kappa: 0.5053, kb_relative_information_score: 1193.0644, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8304, scimark_benchmark: 1716.0319, usercpu_time_millis: 814.607, usercpu_time_millis_testing: 1.591, usercpu_time_millis_training: 813.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8052, kappa: 0.607, kb_relative_information_score: 1425.4381, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7737, scimark_benchmark: 1714.1003, usercpu_time_millis: 780.249, usercpu_time_millis_testing: 4.491, usercpu_time_millis_training: 775.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7972, kappa: 0.5909, kb_relative_information_score: 1555.9387, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7692, scimark_benchmark: 1718.6432, usercpu_time_millis: 7812.324, usercpu_time_millis_testing: 4.186, usercpu_time_millis_training: 7808.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8115, kappa: 0.62, kb_relative_information_score: 1651.0801, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.746, scimark_benchmark: 1747.6779, usercpu_time_millis: 429.184, usercpu_time_millis_testing: 2.329, usercpu_time_millis_training: 426.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7792, kappa: 0.5545, kb_relative_information_score: 1278.0433, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.78, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8075, scimark_benchmark: 1713.4936, usercpu_time_millis: 395.879, usercpu_time_millis_testing: 1.327, usercpu_time_millis_training: 394.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 898.2551, mean_absolute_error: 0.3969, 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: 0.7996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.875, scimark_benchmark: 1752.1484, usercpu_time_millis: 304.411, usercpu_time_millis_testing: 1.651, usercpu_time_millis_training: 302.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7952, kappa: 0.5869, kb_relative_information_score: 1359.7384, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7957, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7844, scimark_benchmark: 1742.5334, usercpu_time_millis: 526.484, usercpu_time_millis_testing: 3.462, usercpu_time_millis_training: 523.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8128, kappa: 0.6226, kb_relative_information_score: 1497.4443, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9948, recall: 0.8131, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599, scimark_benchmark: 1750.9468, usercpu_time_millis: 458.392, usercpu_time_millis_testing: 4.736, usercpu_time_millis_training: 453.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0844, 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: 1754.8346, usercpu_time_millis: 9.783, usercpu_time_millis_testing: 1.506, usercpu_time_millis_training: 8.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.785, kappa: 0.5663, kb_relative_information_score: 1120.281, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7851, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8161, scimark_benchmark: 1973.1695, usercpu_time_millis: 139.704, usercpu_time_millis_testing: 2.342, usercpu_time_millis_training: 137.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 858.4372, mean_absolute_error: 0.402, 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: 0.8099, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8746, scimark_benchmark: 1755.5397, usercpu_time_millis: 123.934, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 122.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7761, kappa: 0.5481, kb_relative_information_score: 1352.1426, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7773, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1717.5197, usercpu_time_millis: 4357.123, usercpu_time_millis_testing: 2.575, usercpu_time_millis_training: 4354.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7878, kappa: 0.5719, kb_relative_information_score: 1451.5021, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7853, scimark_benchmark: 1712.972, usercpu_time_millis: 3042.114, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 3039.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7916, kappa: 0.5795, kb_relative_information_score: 1495.9059, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7771, scimark_benchmark: 1730.6397, usercpu_time_millis: 2675.755, usercpu_time_millis_testing: 2.939, usercpu_time_millis_training: 2672.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7825, kappa: 0.5611, kb_relative_information_score: 1381.1077, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7832, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7977, scimark_benchmark: 1729.728, usercpu_time_millis: 2164.418, usercpu_time_millis_testing: 2.183, usercpu_time_millis_training: 2162.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7511, kappa: 0.4979, kb_relative_information_score: 1250.3688, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8313, scimark_benchmark: 1734.7321, usercpu_time_millis: 1771.738, usercpu_time_millis_testing: 1.853, usercpu_time_millis_training: 1769.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8073, kappa: 0.6113, kb_relative_information_score: 1513.3422, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7625, scimark_benchmark: 1719.5281, usercpu_time_millis: 1678.702, usercpu_time_millis_testing: 6.044, usercpu_time_millis_training: 1672.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8076, kappa: 0.612, kb_relative_information_score: 1675.2814, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7533, scimark_benchmark: 1729.9064, usercpu_time_millis: 7885.331, usercpu_time_millis_testing: 3.731, usercpu_time_millis_training: 7881.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7625, kappa: 0.521, kb_relative_information_score: 1233.3752, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8228, scimark_benchmark: 1727.9757, usercpu_time_millis: 1474.49, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 1472.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7935, kappa: 0.5835, kb_relative_information_score: 1517.3238, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7937, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7742, scimark_benchmark: 2141.8736, usercpu_time_millis: 3582.203, usercpu_time_millis_testing: 2.308, usercpu_time_millis_training: 3579.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7847, kappa: 0.5656, kb_relative_information_score: 1367.0512, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7853, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7971, scimark_benchmark: 1719.131, usercpu_time_millis: 886.082, usercpu_time_millis_testing: 2.215, usercpu_time_millis_training: 883.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1567.5282, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1730.1287, usercpu_time_millis: 770.13, usercpu_time_millis_testing: 1.79, usercpu_time_millis_training: 768.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7915, kappa: 0.5794, kb_relative_information_score: 1401.3367, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7835, scimark_benchmark: 1718.3482, usercpu_time_millis: 631.11, usercpu_time_millis_testing: 3.07, usercpu_time_millis_training: 628.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8046, kappa: 0.6059, kb_relative_information_score: 1669.8049, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7544, scimark_benchmark: 1728.4686, usercpu_time_millis: 6775.423, usercpu_time_millis_testing: 3.497, usercpu_time_millis_training: 6771.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8122, kappa: 0.6213, kb_relative_information_score: 1669.9274, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7509, scimark_benchmark: 1719.5281, usercpu_time_millis: 531.58, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 530.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7543, kappa: 0.5042, kb_relative_information_score: 1310.93, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8167, scimark_benchmark: 1729.3908, usercpu_time_millis: 3198.491, usercpu_time_millis_testing: 1.954, usercpu_time_millis_training: 3196.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.787, kappa: 0.5703, kb_relative_information_score: 1479.4806, mean_absolute_error: 0.3174, 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: 0.6394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7836, scimark_benchmark: 1728.075, usercpu_time_millis: 3020.247, usercpu_time_millis_testing: 1.723, usercpu_time_millis_training: 3018.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7616, kappa: 0.5189, kb_relative_information_score: 1360.732, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.403, root_relative_squared_error: 0.809, scimark_benchmark: 1732.9618, usercpu_time_millis: 535.916, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 535.125,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs