Task
Supervised Classification on cpu

Supervised Classification on cpu

Task 3661 Supervised Classification cpu 583 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:

583 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 176.0078, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8426, kappa: 0.5743, kb_relative_information_score: 87.2938, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8414, predictive_accuracy: 0.8469, prior_entropy: 0.8205, recall: 0.8469, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.8153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9856, kappa: 0.9618, kb_relative_information_score: 184.8876, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.2714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9617, kappa: 0.8989, kb_relative_information_score: 184.7558, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9615, kappa: 0.8976, kb_relative_information_score: 184.3478, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1059, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9617, kappa: 0.8989, kb_relative_information_score: 179.9641, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9441, kappa: 0.8572, kb_relative_information_score: 170.4035, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9506, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.5136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9568, kappa: 0.8855, kb_relative_information_score: 174.7364, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9715, kappa: 0.9251, kb_relative_information_score: 188.3324, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9719, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9711, kappa: 0.9232, kb_relative_information_score: 177.119, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9441, kappa: 0.8572, kb_relative_information_score: 172.3177, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9506, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9311, kappa: 0.8138, kb_relative_information_score: 157.0013, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8205, recall: 0.933, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.981, kappa: 0.9501, kb_relative_information_score: 197.2981, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9813, predictive_accuracy: 0.9809, prior_entropy: 0.8205, recall: 0.9809, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.125, root_relative_squared_error: 0.2872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.962, kappa: 0.9001, kb_relative_information_score: 183.7724, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9624, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9559, kappa: 0.8811, kb_relative_information_score: 184.6018, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9579, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9758, kappa: 0.9356, kb_relative_information_score: 192.1293, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9762, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9668, kappa: 0.9131, kb_relative_information_score: 188.6598, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9676, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9578, kappa: 0.891, kb_relative_information_score: 178.6835, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9612, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8991, kappa: 0.7231, kb_relative_information_score: 134.4589, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9059, predictive_accuracy: 0.9043, prior_entropy: 0.8205, recall: 0.9043, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9469, kappa: 0.8583, kb_relative_information_score: 174.4499, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9515, kappa: 0.8704, kb_relative_information_score: 176.5837, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9418, kappa: 0.8445, kb_relative_information_score: 141.2895, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.942, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4726, f_measure: 0.638, kb_relative_information_score: -0.7232, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.5571, predictive_accuracy: 0.7464, prior_entropy: 0.8205, recall: 0.7464, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9028, kappa: 0.7314, kb_relative_information_score: 141.5525, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9153, predictive_accuracy: 0.9091, prior_entropy: 0.8205, recall: 0.9091, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9904, kappa: 0.9744, kb_relative_information_score: 194.9344, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9906, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.2569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9028, kappa: 0.7314, kb_relative_information_score: 141.5525, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9153, predictive_accuracy: 0.9091, prior_entropy: 0.8205, recall: 0.9091, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9486, kappa: 0.8684, kb_relative_information_score: 171.6922, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.954, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9578, kappa: 0.891, kb_relative_information_score: 178.6835, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9612, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9418, kappa: 0.8445, kb_relative_information_score: 173.0918, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.942, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9515, kappa: 0.8704, kb_relative_information_score: 174.3997, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9486, kappa: 0.8684, kb_relative_information_score: 174.3866, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.954, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9659, kappa: 0.9087, kb_relative_information_score: 189.0208, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9669, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.3549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9527, kappa: 0.8767, kb_relative_information_score: 175.5331, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9541, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9418, kappa: 0.8445, kb_relative_information_score: 173.0918, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.942, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9121, kb_relative_information_score: 170.8545, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9504, kappa: 0.8652, kb_relative_information_score: 178.9238, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.955, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9515, kappa: 0.8704, kb_relative_information_score: 174.3997, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9578, kappa: 0.891, kb_relative_information_score: 178.6835, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9612, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 39.5845, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9565, kappa: 0.8841, kb_relative_information_score: 172.0516, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9566, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9713, kappa: 0.9242, kb_relative_information_score: 190.5879, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9713, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.923, kappa: 0.7952, kb_relative_information_score: 161.4277, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9227, predictive_accuracy: 0.9234, prior_entropy: 0.8205, recall: 0.9234, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.636, scimark_benchmark: 1631.1992, usercpu_time_millis: 4765.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.638, kb_relative_information_score: 53.535, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.5571, predictive_accuracy: 0.7464, prior_entropy: 0.8205, recall: 0.7464, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.1575, 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: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.638, kb_relative_information_score: 53.535, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.5571, predictive_accuracy: 0.7464, prior_entropy: 0.8205, recall: 0.7464, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.1575, scimark_benchmark: 1583.095, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 1370.8743, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.923, kappa: 0.7952, kb_relative_information_score: 161.4277, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9227, predictive_accuracy: 0.9234, prior_entropy: 0.8205, recall: 0.9234, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.636, scimark_benchmark: 1636.8945, usercpu_time_millis: 2040, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.976, kappa: 0.9364, kb_relative_information_score: 194.0768, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.3055, scimark_benchmark: 1908.2191, usercpu_time_millis: 1359.375, usercpu_time_millis_training: 1359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9809, kappa: 0.9494, kb_relative_information_score: 196.811, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.8205, recall: 0.9809, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.2241, scimark_benchmark: 1908.2191, usercpu_time_millis: 1531.25, usercpu_time_millis_training: 1531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9711, kappa: 0.9232, kb_relative_information_score: 190.5879, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3894, scimark_benchmark: 1827.4462, usercpu_time_millis: 3390.625, usercpu_time_millis_training: 3390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 187.3185, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3756, scimark_benchmark: 1435.8938, usercpu_time_millis: 1500, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 189.5191, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.289, scimark_benchmark: 1837.4108, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9578, kappa: 0.891, kb_relative_information_score: 178.6835, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9612, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.438, scimark_benchmark: 1240.9305, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9578, kappa: 0.891, kb_relative_information_score: 178.6835, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9612, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.438, scimark_benchmark: 1202.2509, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.976, kappa: 0.9364, kb_relative_information_score: 190.6308, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.294, scimark_benchmark: 1149.8425, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9418, kappa: 0.8445, kb_relative_information_score: 173.0918, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.942, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5508, 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: 0.9715, f_measure: 0.9762, kappa: 0.9372, kb_relative_information_score: 193.5039, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9763, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3555, 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: 0.951, f_measure: 0.9384, kappa: 0.8387, kb_relative_information_score: 171.2686, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9394, predictive_accuracy: 0.9378, prior_entropy: 0.8205, recall: 0.9378, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5507, 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: 0.9077, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 174.3575, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5248, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 205.8004, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8205, recall: 1, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0361, root_relative_squared_error: 0.0829, 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: 0.9207, f_measure: 0.9518, kappa: 0.872, kb_relative_information_score: 169.4202, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.5124, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.9088, kappa: 0.7584, kb_relative_information_score: 142.7607, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9086, predictive_accuracy: 0.9091, prior_entropy: 0.8205, recall: 0.9091, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.6408, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9715, kappa: 0.9251, kb_relative_information_score: 171.5593, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9719, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3598, 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: 0.9905, f_measure: 0.9441, kappa: 0.8572, kb_relative_information_score: 172.3177, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9506, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.513, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9515, kappa: 0.8704, kb_relative_information_score: 174.3997, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4957, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9578, kappa: 0.891, kb_relative_information_score: 178.6835, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9612, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.438, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9418, kappa: 0.8445, kb_relative_information_score: 173.0918, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.942, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5508, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9762, kappa: 0.9372, kb_relative_information_score: 193.5039, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9763, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3555, 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: 0.9987, f_measure: 0.976, kappa: 0.9364, kb_relative_information_score: 190.0839, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2982, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9429, kappa: 0.8502, kb_relative_information_score: 173.4552, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9435, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.539, 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: 0.9077, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 174.3575, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5248, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 205.8004, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8205, recall: 1, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0361, root_relative_squared_error: 0.0829, 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: 0.956, f_measure: 0.9571, kappa: 0.887, kb_relative_information_score: 175.8489, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9573, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4796, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.9189, kappa: 0.7865, kb_relative_information_score: 148.9851, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9192, predictive_accuracy: 0.9187, prior_entropy: 0.8205, recall: 0.9187, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.6126, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9715, kappa: 0.9251, kb_relative_information_score: 171.718, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9719, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3583, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9441, kappa: 0.8572, kb_relative_information_score: 172.3177, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9506, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.513, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9515, kappa: 0.8704, kb_relative_information_score: 174.3997, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4957, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9429, kappa: 0.8502, kb_relative_information_score: 172.9166, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9435, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.5407, scimark_benchmark: 1327.5254, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9568, kappa: 0.8855, kb_relative_information_score: 174.7364, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4812, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 205.8004, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8205, recall: 1, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0361, root_relative_squared_error: 0.0829, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9713, kappa: 0.9242, kb_relative_information_score: 188.1928, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9713, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.3258, 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: 0.9975, f_measure: 0.9762, kappa: 0.9372, kb_relative_information_score: 193.7006, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9763, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3333, 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: 0.9474, f_measure: 0.9524, kappa: 0.8752, kb_relative_information_score: 172.4723, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9529, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4957, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9711, kappa: 0.9232, kb_relative_information_score: 189.2085, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3298, 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: 0.9891, f_measure: 0.9952, kappa: 0.9873, kb_relative_information_score: 200.1984, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.8205, recall: 0.9952, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.1947, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9504, kappa: 0.8652, kb_relative_information_score: 178.9238, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.955, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5028, 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: 0.9117, f_measure: 0.9418, kappa: 0.8445, kb_relative_information_score: 173.0918, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.942, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5508, scimark_benchmark: 1493.0669, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9757, kappa: 0.9348, kb_relative_information_score: 182.3293, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9768, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3299, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9806, kappa: 0.9482, kb_relative_information_score: 191.2103, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9813, predictive_accuracy: 0.9809, prior_entropy: 0.8205, recall: 0.9809, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.3017, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8868, kappa: 0.6868, kb_relative_information_score: 162.3586, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8997, predictive_accuracy: 0.8947, prior_entropy: 0.8205, recall: 0.8947, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.539, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8602, kappa: 0.6079, kb_relative_information_score: 105.1984, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8934, predictive_accuracy: 0.8756, prior_entropy: 0.8205, recall: 0.8756, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.675, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9904, kappa: 0.9744, kb_relative_information_score: 191.6474, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9906, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2703, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9028, kappa: 0.7314, kb_relative_information_score: 141.5528, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9153, predictive_accuracy: 0.9091, prior_entropy: 0.8205, recall: 0.9091, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5904, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 199.3359, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9855, kappa: 0.9614, kb_relative_information_score: 199.3359, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9859, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2754, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9762, kappa: 0.9372, kb_relative_information_score: 193.5039, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9763, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3555, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.9311, kappa: 0.8138, kb_relative_information_score: 157.7516, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8205, recall: 0.933, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5681, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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