Task
Supervised Classification on analcatdata_vineyard

Supervised Classification on analcatdata_vineyard

Task 3590 Supervised Classification analcatdata_vineyard 562 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

562 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8083, kappa: 0.6147, kb_relative_information_score: 246.4775, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8124, predictive_accuracy: 0.8077, prior_entropy: 0.9912, recall: 0.8077, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8501, kappa: 0.6959, kb_relative_information_score: 287.3474, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8503, predictive_accuracy: 0.8504, prior_entropy: 0.9912, recall: 0.8504, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8231, kappa: 0.6434, kb_relative_information_score: 247.5129, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8252, predictive_accuracy: 0.8227, prior_entropy: 0.9912, recall: 0.8227, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8563, kappa: 0.7083, kb_relative_information_score: 292.0163, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8571, predictive_accuracy: 0.8568, prior_entropy: 0.9912, recall: 0.8568, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8104, kappa: 0.6198, kb_relative_information_score: 251.629, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8164, predictive_accuracy: 0.8098, prior_entropy: 0.9912, recall: 0.8098, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8529, kappa: 0.703, kb_relative_information_score: 304.6054, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8541, predictive_accuracy: 0.8526, prior_entropy: 0.9912, recall: 0.8526, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8441, kappa: 0.6846, kb_relative_information_score: 317.493, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8443, predictive_accuracy: 0.844, prior_entropy: 0.9912, recall: 0.844, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8162, kappa: 0.6279, kb_relative_information_score: 245.4694, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8162, predictive_accuracy: 0.8162, prior_entropy: 0.9912, recall: 0.8162, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7521, kappa: 0.4981, kb_relative_information_score: 107.3622, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7521, predictive_accuracy: 0.7521, prior_entropy: 0.9912, recall: 0.7521, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 167.0571, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8413, kappa: 0.678, kb_relative_information_score: 184.9218, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8419, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 167.0571, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8551, kappa: 0.708, kb_relative_information_score: 300.6707, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8575, predictive_accuracy: 0.8547, prior_entropy: 0.9912, recall: 0.8547, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7359, kappa: 0.4701, kb_relative_information_score: 215.0013, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7412, predictive_accuracy: 0.735, prior_entropy: 0.9912, recall: 0.735, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8422, kappa: 0.6816, kb_relative_information_score: 300.5693, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8437, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.824, kappa: 0.6428, kb_relative_information_score: 160.1997, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8248, predictive_accuracy: 0.8248, prior_entropy: 0.9912, recall: 0.8248, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.3968, kb_relative_information_score: -0.0173, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8592, kappa: 0.7158, kb_relative_information_score: 314.9098, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8603, predictive_accuracy: 0.859, prior_entropy: 0.9912, recall: 0.859, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 172.7362, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 172.7362, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8547, kappa: 0.7058, kb_relative_information_score: 321.2188, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8547, predictive_accuracy: 0.8547, prior_entropy: 0.9912, recall: 0.8547, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8141, kappa: 0.6234, kb_relative_information_score: 195.3779, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.814, predictive_accuracy: 0.8141, prior_entropy: 0.9912, recall: 0.8141, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6721, kb_relative_information_score: 286.3723, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8383, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.812, kappa: 0.6192, kb_relative_information_score: 195.1381, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 0.9912, recall: 0.812, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7657, kappa: 0.5295, kb_relative_information_score: 180.1371, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7704, predictive_accuracy: 0.765, prior_entropy: 0.9912, recall: 0.765, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8077, kappa: 0.6106, kb_relative_information_score: 197.1179, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.9912, recall: 0.8077, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.7906, kappa: 0.576, kb_relative_information_score: 214.7464, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7906, predictive_accuracy: 0.7906, prior_entropy: 0.9912, recall: 0.7906, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6721, kb_relative_information_score: 286.3723, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8383, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8141, kappa: 0.6234, kb_relative_information_score: 195.3779, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.814, predictive_accuracy: 0.8141, prior_entropy: 0.9912, recall: 0.8141, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7182, kappa: 0.4603, kb_relative_information_score: 203.3126, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7685, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 44.5217, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7182, kappa: 0.4603, kb_relative_information_score: 203.3126, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7685, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 44.5217, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7182, kappa: 0.4603, kb_relative_information_score: 203.3126, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7685, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 44.5217, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7182, kappa: 0.4603, kb_relative_information_score: 203.3126, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7685, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 44.5217, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7325, kappa: 0.4567, kb_relative_information_score: 132.0867, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7347, predictive_accuracy: 0.735, prior_entropy: 0.9912, recall: 0.735, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8057, kappa: 0.6053, kb_relative_information_score: 235.9365, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8096, predictive_accuracy: 0.8077, prior_entropy: 0.9912, recall: 0.8077, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8485, kappa: 0.6938, kb_relative_information_score: 323.4237, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8491, predictive_accuracy: 0.8483, prior_entropy: 0.9912, recall: 0.8483, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.3971, kappa: -0.0276, kb_relative_information_score: 30.2712, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.3859, predictive_accuracy: 0.5406, prior_entropy: 0.9912, recall: 0.5406, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6778, root_relative_squared_error: 1.364, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7972, kappa: 0.5881, kb_relative_information_score: 276.6008, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8004, predictive_accuracy: 0.7991, prior_entropy: 0.9912, recall: 0.7991, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9019, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.3971, kappa: -0.0276, kb_relative_information_score: 30.2712, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.3859, predictive_accuracy: 0.5406, prior_entropy: 0.9912, recall: 0.5406, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6778, root_relative_squared_error: 1.364, scimark_benchmark: 1333.6415, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7972, kappa: 0.5881, kb_relative_information_score: 276.6008, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8004, predictive_accuracy: 0.7991, prior_entropy: 0.9912, recall: 0.7991, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9019, scimark_benchmark: 1337.8951, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7755, kappa: 0.5667, kb_relative_information_score: 196.8069, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.821, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8033, scimark_benchmark: 1918.4916, usercpu_time_millis: 1359.375, usercpu_time_millis_training: 1359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7115, kappa: 0.4156, kb_relative_information_score: 172.8586, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7114, predictive_accuracy: 0.7115, prior_entropy: 0.9912, recall: 0.7115, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8419, scimark_benchmark: 1918.4916, usercpu_time_millis: 1406.25, usercpu_time_millis_training: 1406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7848, kappa: 0.5665, kb_relative_information_score: 262.3503, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7874, predictive_accuracy: 0.7842, prior_entropy: 0.9912, recall: 0.7842, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9349, scimark_benchmark: 1827.4462, usercpu_time_millis: 5031.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 5015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7417, kappa: 0.4777, kb_relative_information_score: 221.6347, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7422, predictive_accuracy: 0.7415, prior_entropy: 0.9912, recall: 0.7415, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0233, scimark_benchmark: 1827.4462, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8484, kappa: 0.6932, kb_relative_information_score: 305.9475, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8486, predictive_accuracy: 0.8483, prior_entropy: 0.9912, recall: 0.8483, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.658, scimark_benchmark: 1318.3588, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7093, kappa: 0.411, kb_relative_information_score: 172.9664, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7091, predictive_accuracy: 0.7094, prior_entropy: 0.9912, recall: 0.7094, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8409, scimark_benchmark: 1871.4229, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.8279, kappa: 0.6505, kb_relative_information_score: 305.1017, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8299, predictive_accuracy: 0.8291, prior_entropy: 0.9912, recall: 0.8291, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8321, usercpu_time_millis: 0.39, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8528, kappa: 0.7024, kb_relative_information_score: 327.4953, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8534, predictive_accuracy: 0.8526, prior_entropy: 0.9912, recall: 0.8526, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7727, usercpu_time_millis: 15.91, usercpu_time_millis_testing: 3.58, usercpu_time_millis_training: 12.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8465, kappa: 0.6905, kb_relative_information_score: 321.388, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8484, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7894, usercpu_time_millis: 112.14, usercpu_time_millis_testing: 49.04, usercpu_time_millis_training: 63.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7658, kappa: 0.5435, kb_relative_information_score: 246.0641, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.799, predictive_accuracy: 0.7671, prior_entropy: 0.9912, recall: 0.7671, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9712, usercpu_time_millis: 34.75, usercpu_time_millis_testing: 4.85, usercpu_time_millis_training: 29.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8141, kappa: 0.6234, kb_relative_information_score: 195.3779, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.814, predictive_accuracy: 0.8141, prior_entropy: 0.9912, recall: 0.8141, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.758, scimark_benchmark: 1295.2384, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7417, kappa: 0.4777, kb_relative_information_score: 221.6347, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7422, predictive_accuracy: 0.7415, prior_entropy: 0.9912, recall: 0.7415, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0233, 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: 0.7433, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148, 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: 0.783, f_measure: 0.7734, kappa: 0.5623, kb_relative_information_score: 193.1509, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8176, predictive_accuracy: 0.7756, prior_entropy: 0.9912, recall: 0.7756, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8049, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7378, kappa: 0.4711, kb_relative_information_score: 171.1572, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7395, predictive_accuracy: 0.7372, prior_entropy: 0.9912, recall: 0.7372, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8153, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8462, kappa: 0.6885, kb_relative_information_score: 320.3135, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7793, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8187, kappa: 0.6338, kb_relative_information_score: 205.3593, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8196, predictive_accuracy: 0.8184, prior_entropy: 0.9912, recall: 0.8184, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7482, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8674, kappa: 0.7312, kb_relative_information_score: 299.5921, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8674, predictive_accuracy: 0.8675, prior_entropy: 0.9912, recall: 0.8675, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6864, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8424, kappa: 0.6832, kb_relative_information_score: 268.6341, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8466, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7073, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8546, kappa: 0.7055, kb_relative_information_score: 321.7819, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8546, predictive_accuracy: 0.8547, prior_entropy: 0.9912, recall: 0.8547, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6541, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8104, kappa: 0.6198, kb_relative_information_score: 251.629, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8164, predictive_accuracy: 0.8098, prior_entropy: 0.9912, recall: 0.8098, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7321, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6721, kb_relative_information_score: 286.3723, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8383, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7308, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8141, kappa: 0.6234, kb_relative_information_score: 195.3779, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.814, predictive_accuracy: 0.8141, prior_entropy: 0.9912, recall: 0.8141, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.758, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7417, kappa: 0.4777, kb_relative_information_score: 221.6347, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7422, predictive_accuracy: 0.7415, prior_entropy: 0.9912, recall: 0.7415, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0233, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7734, kappa: 0.5623, kb_relative_information_score: 193.1488, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8176, predictive_accuracy: 0.7756, prior_entropy: 0.9912, recall: 0.7756, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8049, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7378, kappa: 0.4711, kb_relative_information_score: 171.1572, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7395, predictive_accuracy: 0.7372, prior_entropy: 0.9912, recall: 0.7372, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8153, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8462, kappa: 0.6885, kb_relative_information_score: 320.3135, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7793, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8187, kappa: 0.6338, kb_relative_information_score: 205.3593, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8196, predictive_accuracy: 0.8184, prior_entropy: 0.9912, recall: 0.8184, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7482, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8563, kappa: 0.7083, kb_relative_information_score: 292.0163, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8571, predictive_accuracy: 0.8568, prior_entropy: 0.9912, recall: 0.8568, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7104, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8402, kappa: 0.6787, kb_relative_information_score: 267.4109, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8441, predictive_accuracy: 0.8397, prior_entropy: 0.9912, recall: 0.8397, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7116, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8547, kappa: 0.7058, kb_relative_information_score: 321.2188, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8547, predictive_accuracy: 0.8547, prior_entropy: 0.9912, recall: 0.8547, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6545, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8104, kappa: 0.6198, kb_relative_information_score: 251.629, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8164, predictive_accuracy: 0.8098, prior_entropy: 0.9912, recall: 0.8098, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7321, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6721, kb_relative_information_score: 286.3723, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8383, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7308, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7378, kappa: 0.4711, kb_relative_information_score: 171.1572, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7395, predictive_accuracy: 0.7372, prior_entropy: 0.9912, recall: 0.7372, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8153, scimark_benchmark: 1327.5254, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8187, kappa: 0.6338, kb_relative_information_score: 205.3593, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8196, predictive_accuracy: 0.8184, prior_entropy: 0.9912, recall: 0.8184, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7482, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7734, kappa: 0.5623, kb_relative_information_score: 193.1488, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8176, predictive_accuracy: 0.7756, prior_entropy: 0.9912, recall: 0.7756, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8049, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8187, kappa: 0.6338, kb_relative_information_score: 205.8585, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8196, predictive_accuracy: 0.8184, prior_entropy: 0.9912, recall: 0.8184, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7486, 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: 0.879, f_measure: 0.8501, kappa: 0.6959, kb_relative_information_score: 287.2945, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8503, predictive_accuracy: 0.8504, prior_entropy: 0.9912, recall: 0.8504, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7136, 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: 0.7864, f_measure: 0.7775, kappa: 0.571, kb_relative_information_score: 197.3532, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8244, predictive_accuracy: 0.7799, prior_entropy: 0.9912, recall: 0.7799, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7974, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7397, kappa: 0.4741, kb_relative_information_score: 172.0285, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7406, predictive_accuracy: 0.7393, prior_entropy: 0.9912, recall: 0.7393, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.404, root_relative_squared_error: 0.813, 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: 0.7433, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148, 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: 0.7394, f_measure: 0.7417, kappa: 0.4777, kb_relative_information_score: 221.6347, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7422, predictive_accuracy: 0.7415, prior_entropy: 0.9912, recall: 0.7415, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0233, scimark_benchmark: 1262.1872, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8563, kappa: 0.7083, kb_relative_information_score: 292.0163, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8571, predictive_accuracy: 0.8568, prior_entropy: 0.9912, recall: 0.8568, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7104, scimark_benchmark: 1156.8472, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8611, kappa: 0.7186, kb_relative_information_score: 279.5875, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8611, predictive_accuracy: 0.8611, prior_entropy: 0.9912, recall: 0.8611, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6541, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8532, kappa: 0.7018, kb_relative_information_score: 321.6513, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.858, predictive_accuracy: 0.8547, prior_entropy: 0.9912, recall: 0.8547, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6707, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.8631, kappa: 0.7222, kb_relative_information_score: 315.542, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8737, predictive_accuracy: 0.8654, prior_entropy: 0.9912, recall: 0.8654, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6909, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8503, kappa: 0.6965, kb_relative_information_score: 277.9321, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8502, predictive_accuracy: 0.8504, prior_entropy: 0.9912, recall: 0.8504, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6569, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8527, kappa: 0.7022, kb_relative_information_score: 313.9959, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8531, predictive_accuracy: 0.8526, prior_entropy: 0.9912, recall: 0.8526, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6015, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8529, kappa: 0.703, kb_relative_information_score: 313.4699, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8541, predictive_accuracy: 0.8526, prior_entropy: 0.9912, recall: 0.8526, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6057, scimark_benchmark: 1873.1108,

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