OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20597 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

20597 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.963, kappa: 0.9463, kb_relative_information_score: 753.0587, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9637, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 744.7381, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.963, kappa: 0.9462, kb_relative_information_score: 686.4735, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9634, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4712, kb_relative_information_score: 2.5361, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 761.64, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9766, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 811.2973, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.975, kappa: 0.9636, kb_relative_information_score: 702.5414, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.3344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.8896, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9383, kappa: 0.9103, kb_relative_information_score: 86.0653, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9387, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 1.9616, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 772.0938, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9742, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9797, kappa: 0.9706, kb_relative_information_score: 697.9967, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9512, kappa: 0.9289, kb_relative_information_score: 708.2011, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9516, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.3685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9488, kappa: 0.9254, kb_relative_information_score: 703.2904, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9492, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9548, kappa: 0.9342, kb_relative_information_score: 742.4642, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9554, predictive_accuracy: 0.9548, prior_entropy: 1.7898, recall: 0.9548, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.3315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9547, kappa: 0.9342, kb_relative_information_score: 736.5104, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9557, predictive_accuracy: 0.9548, prior_entropy: 1.7898, recall: 0.9548, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.3288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 821.8675, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9714, kappa: 0.9585, kb_relative_information_score: 769.8104, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9719, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.2707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9809, kappa: 0.9723, kb_relative_information_score: 773.3498, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9813, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9643, kappa: 0.948, kb_relative_information_score: 703.7273, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9647, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8799, kappa: 0.8255, kb_relative_information_score: 23.2762, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.882, predictive_accuracy: 0.8799, prior_entropy: 1.7898, recall: 0.8799, relative_absolute_error: 1.0692, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4247, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 822.0441, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.034, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9858, kappa: 0.9793, kb_relative_information_score: 812.2639, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.986, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.1744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9701, kappa: 0.9568, kb_relative_information_score: 738.5547, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9718, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9797, kappa: 0.9705, kb_relative_information_score: 719.1223, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.3146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.974, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 749.8858, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9678, kappa: 0.9532, kb_relative_information_score: 750.0618, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9684, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.3036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 708.115, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.966, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.8896, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9451, kappa: 0.9204, kb_relative_information_score: 754.8257, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9457, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9506, kappa: 0.927, kb_relative_information_score: 754.4518, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9544, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.3116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9631, kappa: 0.9463, kb_relative_information_score: 739.4377, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9637, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.3192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.9765, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9288, kappa: 0.8965, kb_relative_information_score: 85.2577, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9293, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.1409, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.1148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9774, kappa: 0.967, kb_relative_information_score: 706.7258, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9643, kappa: 0.948, kb_relative_information_score: 757.1856, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9647, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 761.9409, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9726, kappa: 0.9601, kb_relative_information_score: 713.8561, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9729, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9727, kappa: 0.9602, kb_relative_information_score: 755.9285, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 706.1792, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9694, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.946, kappa: 0.922, kb_relative_information_score: 676.375, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9483, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 518.6408, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kappa: 0.0011, kb_relative_information_score: 2.6638, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3627, prior_entropy: 1.7898, recall: 0.3627, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, kb_relative_information_score: 3.0024, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9534, kappa: 0.9323, kb_relative_information_score: 699.0256, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9541, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3954, kb_relative_information_score: 1.735, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9462, kappa: 0.9221, kb_relative_information_score: 761.3657, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.947, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9762, kappa: 0.9653, kb_relative_information_score: 671.9933, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9809, kappa: 0.9723, kb_relative_information_score: 730.6855, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9523, kappa: 0.9306, kb_relative_information_score: 725.0943, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9526, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 703.7726, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9694, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 734.5444, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.2841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.963, kappa: 0.9462, kb_relative_information_score: 712.2488, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9636, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.1299, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 807.3098, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.1926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9666, kappa: 0.9514, kb_relative_information_score: 701.0765, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 54.4566, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 1.035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9643, kappa: 0.948, kb_relative_information_score: 65.4539, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9646, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 1.0219, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9751, kappa: 0.9638, kb_relative_information_score: 793.6912, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9757, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 1.8541, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9619, kappa: 0.9445, kb_relative_information_score: 696.8014, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.3555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 706.076, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 739.8454, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9694, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9571, kappa: 0.9376, kb_relative_information_score: 703.9807, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9575, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9547, kappa: 0.9341, kb_relative_information_score: 741.8721, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9551, predictive_accuracy: 0.9548, prior_entropy: 1.7898, recall: 0.9548, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9594, kappa: 0.941, kb_relative_information_score: 687.0152, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.96, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9691, kappa: 0.955, kb_relative_information_score: 764.6448, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9694, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.969, kappa: 0.955, kb_relative_information_score: 745.7914, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9695, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.122, root_relative_squared_error: 0.2943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9701, kappa: 0.9566, kb_relative_information_score: 691.6935, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9705, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.938, kappa: 0.9097, kb_relative_information_score: 705.5074, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9389, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9511, kappa: 0.9289, kb_relative_information_score: 722.2929, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9518, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 1.8394, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 714.205, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.3093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 721.6042, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9693, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.3238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 814.4441, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9486, kappa: 0.9254, kb_relative_information_score: 706.678, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9494, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 819.9321, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.4948, kappa: 0.2815, kb_relative_information_score: 152.3807, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5129, predictive_accuracy: 0.4958, prior_entropy: 1.7898, recall: 0.4958, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9427, kappa: 0.9169, kb_relative_information_score: 743.2866, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.943, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9059, kappa: 0.8635, kb_relative_information_score: 712.8679, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9069, predictive_accuracy: 0.9061, prior_entropy: 1.7898, recall: 0.9061, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9642, kappa: 0.948, kb_relative_information_score: 742.5956, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9646, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.3133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9381, kappa: 0.91, kb_relative_information_score: 747.5125, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9385, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9667, kappa: 0.9515, kb_relative_information_score: 703.2551, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9487, kappa: 0.9255, kb_relative_information_score: 736.441, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9502, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9488, kappa: 0.9256, kb_relative_information_score: 732.8945, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9496, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9558, kappa: 0.9358, kb_relative_information_score: 726.4686, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, kappa: 0.4406, kb_relative_information_score: 131.0095, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6433, prior_entropy: 1.7898, recall: 0.6433, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 654.3413, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.0077, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9383, kappa: 0.9102, kb_relative_information_score: 86.0565, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9384, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 707.6176, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9439, kappa: 0.9185, kb_relative_information_score: 746.2953, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9444, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9452, kappa: 0.9203, kb_relative_information_score: 746.3665, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9454, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9726, kappa: 0.9601, kb_relative_information_score: 743.5296, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.68, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9786, kappa: 0.9689, kb_relative_information_score: 751.2207, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.979, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 693.9163, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9787, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3471,

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