OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 146817 Supervised Classification steel-plates-fault 9051 runs submitted
0 likes downloaded by 1 people , 2 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9051 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: 0.9447, f_measure: 0.7948, kappa: 0.7331, kb_relative_information_score: 1367.4683, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7995, predictive_accuracy: 0.7955, prior_entropy: 2.4138, recall: 0.7955, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.7906, kappa: 0.7281, kb_relative_information_score: 1366.3783, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7934, predictive_accuracy: 0.7908, prior_entropy: 2.4138, recall: 0.7908, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.7742, kappa: 0.7062, kb_relative_information_score: 1270.7521, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7794, predictive_accuracy: 0.7749, prior_entropy: 2.4138, recall: 0.7749, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7708, kappa: 0.7012, kb_relative_information_score: 1252.4859, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7772, predictive_accuracy: 0.7713, prior_entropy: 2.4138, recall: 0.7713, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.6492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7626, kappa: 0.691, kb_relative_information_score: 1271.6527, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7695, predictive_accuracy: 0.7635, prior_entropy: 2.4138, recall: 0.7635, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.216, root_relative_squared_error: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.7292, kappa: 0.6465, kb_relative_information_score: 1108.0526, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7493, predictive_accuracy: 0.7331, prior_entropy: 2.4138, recall: 0.7331, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.7592, kappa: 0.6879, kb_relative_information_score: 1284.026, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7643, predictive_accuracy: 0.7609, prior_entropy: 2.4138, recall: 0.7609, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.7679, kappa: 0.6983, kb_relative_information_score: 1283.2676, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7734, predictive_accuracy: 0.7687, prior_entropy: 2.4138, recall: 0.7687, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7573, kappa: 0.6843, kb_relative_information_score: 1250.79, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7652, predictive_accuracy: 0.7589, prior_entropy: 2.4138, recall: 0.7589, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.218, root_relative_squared_error: 0.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7752, kappa: 0.7078, kb_relative_information_score: 1321.6715, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7799, predictive_accuracy: 0.7759, prior_entropy: 2.4138, recall: 0.7759, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7478, kappa: 0.6724, kb_relative_information_score: 1209.9484, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7572, predictive_accuracy: 0.7501, prior_entropy: 2.4138, recall: 0.7501, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7766, kappa: 0.7074, kb_relative_information_score: 1218.2545, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7865, predictive_accuracy: 0.7769, prior_entropy: 2.4138, recall: 0.7769, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.6623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.7632, kappa: 0.6925, kb_relative_information_score: 1280.9291, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7689, predictive_accuracy: 0.7646, prior_entropy: 2.4138, recall: 0.7646, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.6437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7815, kappa: 0.7153, kb_relative_information_score: 1334.7006, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.786, predictive_accuracy: 0.7816, prior_entropy: 2.4138, recall: 0.7816, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.7476, kappa: 0.6716, kb_relative_information_score: 1302.5518, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7523, predictive_accuracy: 0.7486, prior_entropy: 2.4138, recall: 0.7486, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.7777, kappa: 0.7101, kb_relative_information_score: 1316.3159, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7823, predictive_accuracy: 0.7774, prior_entropy: 2.4138, recall: 0.7774, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.7679, kappa: 0.6983, kb_relative_information_score: 1283.2676, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7734, predictive_accuracy: 0.7687, prior_entropy: 2.4138, recall: 0.7687, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.7427, kappa: 0.6648, kb_relative_information_score: 1160.9203, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7572, predictive_accuracy: 0.7455, prior_entropy: 2.4138, recall: 0.7455, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.7364, kappa: 0.6576, kb_relative_information_score: 1125.2206, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7584, predictive_accuracy: 0.7414, prior_entropy: 2.4138, recall: 0.7414, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.6993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7561, kappa: 0.6814, kb_relative_information_score: 1183.1525, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7687, predictive_accuracy: 0.7579, prior_entropy: 2.4138, recall: 0.7579, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.6752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.7577, kappa: 0.6852, kb_relative_information_score: 1242.1528, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7654, predictive_accuracy: 0.7594, prior_entropy: 2.4138, recall: 0.7594, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.7345, kappa: 0.6538, kb_relative_information_score: 1121.733, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7531, predictive_accuracy: 0.7378, prior_entropy: 2.4138, recall: 0.7378, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7508, kappa: 0.6757, kb_relative_information_score: 1168.0846, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7656, predictive_accuracy: 0.7537, prior_entropy: 2.4138, recall: 0.7537, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.7804, kappa: 0.7149, kb_relative_information_score: 1319.4182, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7844, predictive_accuracy: 0.781, prior_entropy: 2.4138, recall: 0.781, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.7466, kappa: 0.6708, kb_relative_information_score: 1198.1559, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7588, predictive_accuracy: 0.7496, prior_entropy: 2.4138, recall: 0.7496, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.6739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.7959, kappa: 0.734, kb_relative_information_score: 1350.408, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7996, predictive_accuracy: 0.7955, prior_entropy: 2.4138, recall: 0.7955, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7477, kappa: 0.6703, kb_relative_information_score: 1170.0238, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7617, predictive_accuracy: 0.7496, prior_entropy: 2.4138, recall: 0.7496, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.7951, kappa: 0.7335, kb_relative_information_score: 1358.0622, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7984, predictive_accuracy: 0.795, prior_entropy: 2.4138, recall: 0.795, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.7584, kappa: 0.6857, kb_relative_information_score: 1321.0024, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7615, predictive_accuracy: 0.7584, prior_entropy: 2.4138, recall: 0.7584, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7671, kappa: 0.6966, kb_relative_information_score: 1371.2412, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7701, predictive_accuracy: 0.7661, prior_entropy: 2.4138, recall: 0.7661, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.7589, kappa: 0.6871, kb_relative_information_score: 1267.4604, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7653, predictive_accuracy: 0.7604, prior_entropy: 2.4138, recall: 0.7604, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.6553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7999, kappa: 0.7405, kb_relative_information_score: 1426.6742, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8017, predictive_accuracy: 0.7996, prior_entropy: 2.4138, recall: 0.7996, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7478, kappa: 0.6724, kb_relative_information_score: 1209.9484, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7572, predictive_accuracy: 0.7501, prior_entropy: 2.4138, recall: 0.7501, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7858, kappa: 0.7211, kb_relative_information_score: 1343.6656, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7895, predictive_accuracy: 0.7857, prior_entropy: 2.4138, recall: 0.7857, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.7299, kappa: 0.6485, kb_relative_information_score: 1096.656, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7513, predictive_accuracy: 0.7347, prior_entropy: 2.4138, recall: 0.7347, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.7637, kappa: 0.6923, kb_relative_information_score: 1233.9048, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7725, predictive_accuracy: 0.7651, prior_entropy: 2.4138, recall: 0.7651, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.7658, kappa: 0.695, kb_relative_information_score: 1301.7098, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7716, predictive_accuracy: 0.7666, prior_entropy: 2.4138, recall: 0.7666, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.7603, kappa: 0.6856, kb_relative_information_score: 1199.4364, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.775, predictive_accuracy: 0.7615, prior_entropy: 2.4138, recall: 0.7615, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.7459, kappa: 0.672, kb_relative_information_score: 1306.9799, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7475, predictive_accuracy: 0.7476, prior_entropy: 2.4138, recall: 0.7476, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.7509, kappa: 0.6766, kb_relative_information_score: 1232.4138, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7586, predictive_accuracy: 0.7527, prior_entropy: 2.4138, recall: 0.7527, relative_absolute_error: 0.4954, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.7507, kappa: 0.6747, kb_relative_information_score: 1191.4127, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7639, predictive_accuracy: 0.7527, prior_entropy: 2.4138, recall: 0.7527, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.7739, kappa: 0.7061, kb_relative_information_score: 1369.049, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7767, predictive_accuracy: 0.7738, prior_entropy: 2.4138, recall: 0.7738, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.7389, kappa: 0.6614, kb_relative_information_score: 1170.2492, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7542, predictive_accuracy: 0.7429, prior_entropy: 2.4138, recall: 0.7429, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.7421, kappa: 0.6649, kb_relative_information_score: 1346.5955, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7446, predictive_accuracy: 0.7419, prior_entropy: 2.4138, recall: 0.7419, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.6645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.7573, kappa: 0.682, kb_relative_information_score: 1210.3065, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7687, predictive_accuracy: 0.7579, prior_entropy: 2.4138, recall: 0.7579, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.6652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.7336, kappa: 0.6542, kb_relative_information_score: 1261.6653, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7379, predictive_accuracy: 0.7347, prior_entropy: 2.4138, recall: 0.7347, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.7929, kappa: 0.7308, kb_relative_information_score: 1372.2635, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7961, predictive_accuracy: 0.7929, prior_entropy: 2.4138, recall: 0.7929, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.7481, kappa: 0.673, kb_relative_information_score: 1229.7825, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7566, predictive_accuracy: 0.7501, prior_entropy: 2.4138, recall: 0.7501, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.6691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.7534, kappa: 0.6802, kb_relative_information_score: 1255.8759, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7602, predictive_accuracy: 0.7553, prior_entropy: 2.4138, recall: 0.7553, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.22, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.7871, kappa: 0.7223, kb_relative_information_score: 1293.4563, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7931, predictive_accuracy: 0.7872, prior_entropy: 2.4138, recall: 0.7872, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.211, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7544, kappa: 0.6781, kb_relative_information_score: 1166.858, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7694, predictive_accuracy: 0.7558, prior_entropy: 2.4138, recall: 0.7558, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.6929, kappa: 0.604, kb_relative_information_score: 1001.5979, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7447, predictive_accuracy: 0.7058, prior_entropy: 2.4138, recall: 0.7058, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.7624, kappa: 0.6909, kb_relative_information_score: 1248.0994, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7714, predictive_accuracy: 0.764, prior_entropy: 2.4138, recall: 0.764, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.7702, kappa: 0.7, kb_relative_information_score: 1251.8269, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7783, predictive_accuracy: 0.7707, prior_entropy: 2.4138, recall: 0.7707, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.6494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.7852, kappa: 0.7203, kb_relative_information_score: 1339.0341, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7892, predictive_accuracy: 0.7852, prior_entropy: 2.4138, recall: 0.7852, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.7028, kappa: 0.6146, kb_relative_information_score: 1027.0475, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7473, predictive_accuracy: 0.7125, prior_entropy: 2.4138, recall: 0.7125, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.7542, kappa: 0.6805, kb_relative_information_score: 1232.4467, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7617, predictive_accuracy: 0.7558, prior_entropy: 2.4138, recall: 0.7558, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.7748, kappa: 0.7068, kb_relative_information_score: 1301.7997, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7804, predictive_accuracy: 0.7754, prior_entropy: 2.4138, recall: 0.7754, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.7637, kappa: 0.694, kb_relative_information_score: 1344.4414, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7653, predictive_accuracy: 0.764, prior_entropy: 2.4138, recall: 0.764, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.6465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.7531, kappa: 0.6797, kb_relative_information_score: 1258.7734, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7598, predictive_accuracy: 0.7548, prior_entropy: 2.4138, recall: 0.7548, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.7366, kappa: 0.6566, kb_relative_information_score: 1137.6979, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7537, predictive_accuracy: 0.7398, prior_entropy: 2.4138, recall: 0.7398, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.7835, kappa: 0.7184, kb_relative_information_score: 1339.1697, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7871, predictive_accuracy: 0.7836, prior_entropy: 2.4138, recall: 0.7836, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.7527, kappa: 0.6784, kb_relative_information_score: 1217.6658, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7612, predictive_accuracy: 0.7543, prior_entropy: 2.4138, recall: 0.7543, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.6721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.7889, kappa: 0.7247, kb_relative_information_score: 1355.9188, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7948, predictive_accuracy: 0.7893, prior_entropy: 2.4138, recall: 0.7893, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.6122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.7612, kappa: 0.6882, kb_relative_information_score: 1254.5594, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.77, predictive_accuracy: 0.762, prior_entropy: 2.4138, recall: 0.762, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.7606, kappa: 0.6889, kb_relative_information_score: 1267.6735, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7671, predictive_accuracy: 0.762, prior_entropy: 2.4138, recall: 0.762, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7627, kappa: 0.6914, kb_relative_information_score: 1258.5647, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7703, predictive_accuracy: 0.764, prior_entropy: 2.4138, recall: 0.764, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.7817, kappa: 0.7165, kb_relative_information_score: 1328.2389, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7852, predictive_accuracy: 0.7821, prior_entropy: 2.4138, recall: 0.7821, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.7371, kappa: 0.657, kb_relative_information_score: 1129.3058, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7577, predictive_accuracy: 0.7409, prior_entropy: 2.4138, recall: 0.7409, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.741, kappa: 0.6642, kb_relative_information_score: 1173.4673, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7549, predictive_accuracy: 0.745, prior_entropy: 2.4138, recall: 0.745, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.682, kappa: 0.5929, kb_relative_information_score: 976.0347, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7433, predictive_accuracy: 0.6986, prior_entropy: 2.4138, recall: 0.6986, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7568, kappa: 0.6852, kb_relative_information_score: 1370.8109, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7578, predictive_accuracy: 0.7563, prior_entropy: 2.4138, recall: 0.7563, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.7519, kappa: 0.6767, kb_relative_information_score: 1195.8845, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7638, predictive_accuracy: 0.7543, prior_entropy: 2.4138, recall: 0.7543, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.6727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.7728, kappa: 0.7047, kb_relative_information_score: 1332.6973, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7764, predictive_accuracy: 0.7733, prior_entropy: 2.4138, recall: 0.7733, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.7564, kappa: 0.6846, kb_relative_information_score: 1347.8011, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.758, predictive_accuracy: 0.7563, prior_entropy: 2.4138, recall: 0.7563, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7838, kappa: 0.7182, kb_relative_information_score: 1314.7872, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7899, predictive_accuracy: 0.7841, prior_entropy: 2.4138, recall: 0.7841, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8001, kappa: 0.7406, kb_relative_information_score: 1385.3091, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8024, predictive_accuracy: 0.8001, prior_entropy: 2.4138, recall: 0.8001, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.7588, kappa: 0.6866, kb_relative_information_score: 1267.6201, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7658, predictive_accuracy: 0.7604, prior_entropy: 2.4138, recall: 0.7604, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.216, root_relative_squared_error: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.7427, kappa: 0.6648, kb_relative_information_score: 1160.9203, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7572, predictive_accuracy: 0.7455, prior_entropy: 2.4138, recall: 0.7455, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8018, kappa: 0.7425, kb_relative_information_score: 1376.6869, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8046, predictive_accuracy: 0.8016, prior_entropy: 2.4138, recall: 0.8016, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.7891, kappa: 0.7259, kb_relative_information_score: 1406.629, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7918, predictive_accuracy: 0.7888, prior_entropy: 2.4138, recall: 0.7888, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.7841, kappa: 0.7195, kb_relative_information_score: 1326.2417, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7884, predictive_accuracy: 0.7846, prior_entropy: 2.4138, recall: 0.7846, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.6839, kappa: 0.594, kb_relative_information_score: 986.4094, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7429, predictive_accuracy: 0.6991, prior_entropy: 2.4138, recall: 0.6991, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7465, kappa: 0.6706, kb_relative_information_score: 1217.6176, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7555, predictive_accuracy: 0.7486, prior_entropy: 2.4138, recall: 0.7486, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.7429, kappa: 0.6673, kb_relative_information_score: 1272.489, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.746, predictive_accuracy: 0.7445, prior_entropy: 2.4138, recall: 0.7445, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.6747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7746, kappa: 0.7061, kb_relative_information_score: 1263.0144, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7808, predictive_accuracy: 0.7749, prior_entropy: 2.4138, recall: 0.7749, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.6454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.776, kappa: 0.709, kb_relative_information_score: 1298.01, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7816, predictive_accuracy: 0.7769, prior_entropy: 2.4138, recall: 0.7769, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.7514, kappa: 0.6757, kb_relative_information_score: 1200.5145, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7639, predictive_accuracy: 0.7532, prior_entropy: 2.4138, recall: 0.7532, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.6739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7856, kappa: 0.7206, kb_relative_information_score: 1312.7973, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7907, predictive_accuracy: 0.7857, prior_entropy: 2.4138, recall: 0.7857, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.7648, kappa: 0.6947, kb_relative_information_score: 1271.1303, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7705, predictive_accuracy: 0.7661, prior_entropy: 2.4138, recall: 0.7661, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.217, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7828, kappa: 0.7177, kb_relative_information_score: 1332.5339, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7866, predictive_accuracy: 0.7831, prior_entropy: 2.4138, recall: 0.7831, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.208, root_relative_squared_error: 0.6239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.752, kappa: 0.6776, kb_relative_information_score: 1239.5312, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7606, predictive_accuracy: 0.7537, prior_entropy: 2.4138, recall: 0.7537, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.6678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.7514, kappa: 0.677, kb_relative_information_score: 1323.295, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7536, predictive_accuracy: 0.7506, prior_entropy: 2.4138, recall: 0.7506, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.7373, kappa: 0.6606, kb_relative_information_score: 1348.7136, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7379, predictive_accuracy: 0.7372, prior_entropy: 2.4138, recall: 0.7372, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.7706, kappa: 0.7011, kb_relative_information_score: 1357.2149, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.774, predictive_accuracy: 0.7702, prior_entropy: 2.4138, recall: 0.7702, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.7838, kappa: 0.7186, kb_relative_information_score: 1334.1248, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7884, predictive_accuracy: 0.7841, prior_entropy: 2.4138, recall: 0.7841, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.802, kappa: 0.7433, kb_relative_information_score: 1390.4171, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8042, predictive_accuracy: 0.8022, prior_entropy: 2.4138, recall: 0.8022, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.5979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.7556, kappa: 0.6818, kb_relative_information_score: 1320.5316, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7586, predictive_accuracy: 0.7553, prior_entropy: 2.4138, recall: 0.7553, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.6571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.7325, kappa: 0.6537, kb_relative_information_score: 1127.3137, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7555, predictive_accuracy: 0.7383, prior_entropy: 2.4138, recall: 0.7383, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.7007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7582, kappa: 0.6853, kb_relative_information_score: 1254.8142, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7655, predictive_accuracy: 0.7594, prior_entropy: 2.4138, recall: 0.7594, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.6556,

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