OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142878 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9825, kappa: 0.9613, kb_relative_information_score: 0.957, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9825, number_of_instances: 1941, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9311, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.2625, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9846, kappa: 0.966, kb_relative_information_score: 0.9628, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9845, number_of_instances: 1941, precision: 0.9847, predictive_accuracy: 0.9845, prior_entropy: 0.9311, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2352, unweighted_recall: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9435, kappa: 0.8757, kb_relative_information_score: 0.8534, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9433, number_of_instances: 1941, precision: 0.9438, predictive_accuracy: 0.9433, prior_entropy: 0.9311, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4192, unweighted_recall: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8416, kappa: 0.6479, kb_relative_information_score: 0.6212, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4531, weighted_recall: 0.8429, number_of_instances: 1941, precision: 0.8412, predictive_accuracy: 0.8429, prior_entropy: 0.9311, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6923, unweighted_recall: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.983, kappa: 0.9626, kb_relative_information_score: 0.9571, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4531, weighted_recall: 0.983, number_of_instances: 1941, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 0.9311, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2312, unweighted_recall: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 0.967, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9902, number_of_instances: 1941, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.9311, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.1885, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9615, kappa: 0.9154, kb_relative_information_score: 0.8857, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9614, number_of_instances: 1941, precision: 0.962, predictive_accuracy: 0.9614, prior_entropy: 0.9311, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3543, unweighted_recall: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9943, kappa: 0.9875, kb_relative_information_score: 0.9882, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9943, number_of_instances: 1941, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.9311, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1346, unweighted_recall: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9923, kappa: 0.983, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9923, number_of_instances: 1941, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9311, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1409, unweighted_recall: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.98, kappa: 0.9558, kb_relative_information_score: 0.944, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9799, number_of_instances: 1941, precision: 0.9801, predictive_accuracy: 0.9799, prior_entropy: 0.9311, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.245, unweighted_recall: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9856, kappa: 0.9682, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9856, number_of_instances: 1941, precision: 0.9857, predictive_accuracy: 0.9856, prior_entropy: 0.9311, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2294, unweighted_recall: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9763, kappa: 0.9475, kb_relative_information_score: 0.9293, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9763, number_of_instances: 1941, precision: 0.9763, predictive_accuracy: 0.9763, prior_entropy: 0.9311, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.2929, unweighted_recall: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 0.983, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9938, number_of_instances: 1941, precision: 0.9939, predictive_accuracy: 0.9938, prior_entropy: 0.9311, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.073, root_relative_squared_error: 0.1533, unweighted_recall: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9861, kappa: 0.9693, kb_relative_information_score: 0.9538, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9861, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9311, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2422, unweighted_recall: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 0.9984, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9995, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9311, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0178, root_relative_squared_error: 0.0373, unweighted_recall: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 0.9883, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9954, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9311, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.131, unweighted_recall: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8138, kappa: 0.5884, kb_relative_information_score: 0.4973, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4531, weighted_recall: 0.814, number_of_instances: 1941, precision: 0.8136, predictive_accuracy: 0.814, prior_entropy: 0.9311, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.7286, unweighted_recall: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 0.9975, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4531, weighted_recall: 0.999, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9311, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0276, root_relative_squared_error: 0.058, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9907, kappa: 0.9795, kb_relative_information_score: 0.978, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9907, number_of_instances: 1941, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.9311, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.1572, unweighted_recall: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9912, kappa: 0.9806, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9912, number_of_instances: 1941, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9311, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.1577, unweighted_recall: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9168, kappa: 0.8169, kb_relative_information_score: 0.7742, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9165, number_of_instances: 1941, precision: 0.9172, predictive_accuracy: 0.9165, prior_entropy: 0.9311, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.5146, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9645, kappa: 0.9216, kb_relative_information_score: 0.9058, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9645, number_of_instances: 1941, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.9311, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3421, unweighted_recall: 0.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9851, kappa: 0.9672, kb_relative_information_score: 0.9502, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9851, number_of_instances: 1941, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9311, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2454, unweighted_recall: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9819, kappa: 0.96, kb_relative_information_score: 0.9517, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4531, weighted_recall: 0.982, number_of_instances: 1941, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 0.9311, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2494, unweighted_recall: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9908, kappa: 0.9797, kb_relative_information_score: 0.9664, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9907, number_of_instances: 1941, precision: 0.991, predictive_accuracy: 0.9907, prior_entropy: 0.9311, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.093, root_relative_squared_error: 0.1955, unweighted_recall: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8708, kappa: 0.7152, kb_relative_information_score: 0.6687, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.4531, weighted_recall: 0.8707, number_of_instances: 1941, precision: 0.871, predictive_accuracy: 0.8707, prior_entropy: 0.9311, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6234, unweighted_recall: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8917, kappa: 0.7618, kb_relative_information_score: 0.7221, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4531, weighted_recall: 0.8913, number_of_instances: 1941, precision: 0.8923, predictive_accuracy: 0.8913, prior_entropy: 0.9311, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5771, unweighted_recall: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9727, kappa: 0.9398, kb_relative_information_score: 0.918, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9727, number_of_instances: 1941, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 0.9311, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.2989, unweighted_recall: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9836, kappa: 0.9638, kb_relative_information_score: 0.9475, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9835, number_of_instances: 1941, precision: 0.9837, predictive_accuracy: 0.9835, prior_entropy: 0.9311, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2466, unweighted_recall: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9706, kappa: 0.9349, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9706, number_of_instances: 1941, precision: 0.9706, predictive_accuracy: 0.9706, prior_entropy: 0.9311, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.2975, unweighted_recall: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9933, kappa: 0.9853, kb_relative_information_score: 0.9821, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9933, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9311, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.1478, unweighted_recall: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8966, kappa: 0.7721, kb_relative_information_score: 0.7306, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4531, weighted_recall: 0.8964, number_of_instances: 1941, precision: 0.8968, predictive_accuracy: 0.8964, prior_entropy: 0.9311, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5611, unweighted_recall: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9815, kappa: 0.9591, kb_relative_information_score: 0.9555, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9815, number_of_instances: 1941, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 0.9311, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.2498, unweighted_recall: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9923, kappa: 0.983, kb_relative_information_score: 0.976, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9923, number_of_instances: 1941, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9311, relative_absolute_error: 0.0246, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.1659, unweighted_recall: 0.9927,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2023, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9311, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2023, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9311, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2023, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9311, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs