Task
Supervised Classification on ar4

Supervised Classification on ar4

Task 3911 Supervised Classification ar4 589 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

589 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.8197, kappa: 0.3743, kb_relative_information_score: 33.0356, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.815, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.8477, kappa: 0.467, kb_relative_information_score: 28.1361, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8473, predictive_accuracy: 0.8598, prior_entropy: 0.707, recall: 0.8598, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7762, kappa: 0.1786, kb_relative_information_score: 14.1006, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7897, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 44.448, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.8296, kappa: 0.3907, kb_relative_information_score: 8.841, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.835, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.348, root_relative_squared_error: 0.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.8273, kappa: 0.3959, kb_relative_information_score: 19.0977, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8243, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.8273, kappa: 0.3959, kb_relative_information_score: 26.2375, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8243, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.8018, kappa: 0.3416, kb_relative_information_score: 22.2845, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.8438, kappa: 0.467, kb_relative_information_score: 31.7703, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8406, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.8474, kappa: 0.4883, kb_relative_information_score: 29.8726, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8451, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 45.8592, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.372, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.8197, kappa: 0.3743, kb_relative_information_score: 18.7727, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.815, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.8167, kappa: 0.38, kb_relative_information_score: 31.5175, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8127, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4185, root_relative_squared_error: 1.0734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.8048, kappa: 0.3337, kb_relative_information_score: 19.5743, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7993, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.38, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7925, kappa: 0.2855, kb_relative_information_score: 13.4701, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7854, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.0996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7829, kappa: 0.2789, kb_relative_information_score: 14.6515, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7809, predictive_accuracy: 0.785, prior_entropy: 0.707, recall: 0.785, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.832, kappa: 0.4216, kb_relative_information_score: 37.7, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.828, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5344, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.8296, kappa: 0.3907, kb_relative_information_score: 18.2488, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.835, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.8232, kappa: 0.3602, kb_relative_information_score: 41.7688, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8383, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 45.4393, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.8197, kappa: 0.3743, kb_relative_information_score: 23.7664, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.815, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.7526, kappa: 0.0921, kb_relative_information_score: 11.6879, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7444, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.7293, kb_relative_information_score: -0.5961, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.8557, kappa: 0.4912, kb_relative_information_score: 28.7074, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8591, predictive_accuracy: 0.8692, prior_entropy: 0.707, recall: 0.8692, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.8083, kappa: 0.3146, kb_relative_information_score: 23.5829, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8079, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.8374, kappa: 0.4149, kb_relative_information_score: 22.4745, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8506, predictive_accuracy: 0.8598, prior_entropy: 0.707, recall: 0.8598, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7867, kappa: 0.2537, kb_relative_information_score: 20.9377, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7783, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 47.1946, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.787, kappa: 0.3062, kb_relative_information_score: 6.4141, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7892, predictive_accuracy: 0.785, prior_entropy: 0.707, recall: 0.785, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.8084, kappa: 0.3028, kb_relative_information_score: 40.6508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8246, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8207, kappa: 0.4043, kb_relative_information_score: 32.5854, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8191, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7938, kappa: 0.3549, kb_relative_information_score: 15.9359, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8061, predictive_accuracy: 0.785, prior_entropy: 0.707, recall: 0.785, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4465, root_relative_squared_error: 1.1451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.8084, kappa: 0.3028, kb_relative_information_score: 40.6508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8246, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7867, kappa: 0.2537, kb_relative_information_score: 20.9377, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7783, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.7762, kappa: 0.1786, kb_relative_information_score: 33.0565, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7897, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.0808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8438, kappa: 0.467, kb_relative_information_score: 38.6155, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8406, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.822, kappa: 0.3677, kb_relative_information_score: 23.5199, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8219, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 46.9457, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4764, f_measure: 0.7199, kappa: -0.0352, kb_relative_information_score: -3.0604, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6582, predictive_accuracy: 0.7944, prior_entropy: 0.707, recall: 0.7944, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3999, root_relative_squared_error: 1.0257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.8083, kappa: 0.3146, kb_relative_information_score: 17.2047, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8079, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.357, root_relative_squared_error: 0.9158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.7757, kappa: 0.2621, kb_relative_information_score: 14.0706, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7757, predictive_accuracy: 0.7757, prior_entropy: 0.707, recall: 0.7757, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.8048, kappa: 0.3337, kb_relative_information_score: 25.2364, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7993, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0946, scimark_benchmark: 1586.7278, usercpu_time_millis: 515.625, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4756, f_measure: 0.6452, kappa: -0.0403, kb_relative_information_score: -50.4814, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6828, predictive_accuracy: 0.6168, prior_entropy: 0.707, recall: 0.6168, relative_absolute_error: 1.2459, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.619, root_relative_squared_error: 1.5877, scimark_benchmark: 1922.3298, usercpu_time_millis: 8109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 8093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.617, kappa: 0.0574, kb_relative_information_score: -69.4673, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7204, predictive_accuracy: 0.5701, prior_entropy: 0.707, recall: 0.5701, relative_absolute_error: 1.3978, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.6817, scimark_benchmark: 1922.3298, usercpu_time_millis: 8890.625, usercpu_time_millis_training: 8890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 29.2593, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1922.3298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 29.2593, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.8273, kappa: 0.3959, kb_relative_information_score: 30.6304, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8243, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.974, scimark_benchmark: 1369.9614, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 29.2593, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1658.9073, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 29.2593, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1336.4861, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4756, f_measure: 0.6452, kappa: -0.0403, kb_relative_information_score: -50.4814, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6828, predictive_accuracy: 0.6168, prior_entropy: 0.707, recall: 0.6168, relative_absolute_error: 1.2459, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.619, root_relative_squared_error: 1.5877, scimark_benchmark: 1691.5295, usercpu_time_millis: 3300, usercpu_time_millis_training: 3300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.617, kappa: 0.0574, kb_relative_information_score: -69.4673, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7204, predictive_accuracy: 0.5701, prior_entropy: 0.707, recall: 0.5701, relative_absolute_error: 1.3978, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.6817, scimark_benchmark: 1387.4817, usercpu_time_millis: 5010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.8167, kappa: 0.38, kb_relative_information_score: 26.71, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8127, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3912, root_relative_squared_error: 1.0033, scimark_benchmark: 1665.974, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 46.9457, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9418, scimark_benchmark: 1306.2678, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.8084, kappa: 0.3028, kb_relative_information_score: 40.6508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8246, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0223, scimark_benchmark: 999.9332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.8243, kappa: 0.4004, kb_relative_information_score: 26.5799, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8199, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.986, scimark_benchmark: 1267.8531, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.7471, kappa: 0.2006, kb_relative_information_score: -6.343, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7578, predictive_accuracy: 0.7383, prior_entropy: 0.707, recall: 0.7383, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.2137, scimark_benchmark: 1456.1529, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.7658, kappa: 0.2005, kb_relative_information_score: 12.8387, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7581, predictive_accuracy: 0.7757, prior_entropy: 0.707, recall: 0.7757, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4689, root_relative_squared_error: 1.2026, scimark_benchmark: 1322.0202, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8092, kappa: 0.3604, kb_relative_information_score: 30.895, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.806, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4033, root_relative_squared_error: 1.0343, scimark_benchmark: 1244.7789, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.8474, kappa: 0.4883, kb_relative_information_score: 28.2705, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8451, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9104, scimark_benchmark: 932.0528, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.8144, kappa: 0.3458, kb_relative_information_score: 36.8536, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8109, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.052, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.7791, kappa: 0.2003, kb_relative_information_score: 13.7012, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7751, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9822, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.8351, kappa: 0.4185, kb_relative_information_score: 23.7729, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.835, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.349, root_relative_squared_error: 0.8951, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8092, kappa: 0.3604, kb_relative_information_score: 30.3557, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.806, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4052, root_relative_squared_error: 1.0392, scimark_benchmark: 1006.8511, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 45.8592, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.372, root_relative_squared_error: 0.954, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7867, kappa: 0.2537, kb_relative_information_score: 20.9377, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7783, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.1005, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 46.9457, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9418, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.8084, kappa: 0.3028, kb_relative_information_score: 40.6508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8246, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0223, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.8144, kappa: 0.3458, kb_relative_information_score: 36.8536, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8109, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.052, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.8243, kappa: 0.4004, kb_relative_information_score: 26.4646, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8199, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.9866, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.7471, kappa: 0.2006, kb_relative_information_score: -6.343, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7578, predictive_accuracy: 0.7383, prior_entropy: 0.707, recall: 0.7383, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.2137, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.7658, kappa: 0.2005, kb_relative_information_score: 12.8387, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7581, predictive_accuracy: 0.7757, prior_entropy: 0.707, recall: 0.7757, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4689, root_relative_squared_error: 1.2026, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.836, kappa: 0.4453, kb_relative_information_score: 24.3909, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8327, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9396, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.794, kappa: 0.2588, kb_relative_information_score: 15.2473, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7925, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.9712, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.822, kappa: 0.3677, kb_relative_information_score: 22.8923, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8219, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8967, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 45.8592, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.372, root_relative_squared_error: 0.954, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7867, kappa: 0.2537, kb_relative_information_score: 20.9377, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7783, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.1005, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.8474, kappa: 0.4883, kb_relative_information_score: 29.8726, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8451, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9308, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 30.199, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.9666, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8092, kappa: 0.3604, kb_relative_information_score: 30.5808, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.806, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4035, root_relative_squared_error: 1.0348, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8092, kappa: 0.3604, kb_relative_information_score: 30.5808, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.806, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4035, root_relative_squared_error: 1.0348, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.8122, kappa: 0.3536, kb_relative_information_score: 27.5166, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8067, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.0172, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.8092, kappa: 0.3604, kb_relative_information_score: 18.1979, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.806, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9914, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.801, kappa: 0.2934, kb_relative_information_score: 16.5649, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7965, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.9988, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.8122, kappa: 0.3536, kb_relative_information_score: 25.6204, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8067, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.9081, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7927, kappa: 0.2423, kb_relative_information_score: 36.8536, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8089, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.052, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.8084, kappa: 0.3028, kb_relative_information_score: 40.6508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8246, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0223, scimark_benchmark: 1343.3063, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.8474, kappa: 0.4883, kb_relative_information_score: 29.8726, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8451, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9308, scimark_benchmark: 931.3601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.8374, kappa: 0.4149, kb_relative_information_score: 26.3195, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8506, predictive_accuracy: 0.8598, prior_entropy: 0.707, recall: 0.8598, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.903, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.8084, kappa: 0.3028, kb_relative_information_score: 27.2258, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8246, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.9023, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.7697, kappa: 0.1581, kb_relative_information_score: 0.0914, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7697, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4255, root_relative_squared_error: 1.0912, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7762, kappa: 0.1786, kb_relative_information_score: 20.4695, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7897, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.9961, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.8232, kappa: 0.3602, kb_relative_information_score: 18.4176, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8383, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9319, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.8296, kappa: 0.3907, kb_relative_information_score: 21.7738, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.835, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9491, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.8197, kappa: 0.3743, kb_relative_information_score: 36.8536, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.815, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.832, kappa: 0.4216, kb_relative_information_score: 40.6508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.828, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, f_measure: 0.8232, kappa: 0.3602, kb_relative_information_score: 44.448, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8383, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.9918, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.8144, kappa: 0.3458, kb_relative_information_score: 36.8536, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8109, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.052, scimark_benchmark: 1870.7932,

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